oCoolAI
Сайт ↗Китайский New API-агрегатор с расчётом в CNY (юани)
- Моделей
- 474
- Средняя цена
- ₽4 817/M
- Регион
- Зарубежный · сайт на китайский
- Оплата
- CNY (юани), USD (ratio-биллинг в API)
- Биллинг
- за токены
- API
- OpenAI-compatible
Сайт на китайском · На сайте UI часто в CNY; API pricing — OneAPI ratio (как у o3.fan) · Ratio pricing — см. блок «Как считаются цены»
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
Токенов/мес
In/Out
Валюта
Токенов/мес
In/Out
Валюта
25M токенов/мес · ввод 80% / вывод 20%Цены в ₽ · 1 USD = 82.9977 ₽ · 1 CNY = 12.278 ₽ · 13.08.2026
474 моделей
Текст и чат
оплата за токены · 438
▼
Текст и чат
оплата за токены · 438
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Qwen Text Embedding v3 | alibaba | ₽0.08/M | ₽0.08/M | ₽2 |
| step 1 8k | step 1 8k | ₽0.06/M | ₽0.22/M | ₽2 |
| step 1v 8k | step 1v 8k | ₽0.06/M | ₽0.22/M | ₽2 |
| search gpts chat | search gpts chat | ₽0.25/M | ₽0.25/M | ₽6 |
| Step 2 16K | step 2 16k | ₽0.43/M | ₽1.34/M | ₽15 |
| step 1 256k | step 1 256k | ₽1.06/M | ₽0.34/M | ₽23 |
| codegeex 4 | codegeex 4 | ₽1.12/M | ₽1.12/M | ₽28 |
| glm 4 flashx | glm 4 flashx | ₽1.12/M | ₽1.12/M | ₽28 |
| text embedding 3 small | openai | ₽2.49/M | ₽2.49/M | ₽62 |
| glm 4.5 flash | glm 4.5 flash | ₽1.58/M | ₽6.31/M | ₽63 |
| Embedding 2 | embedding 2 | ₽5.60/M | ₽5.60/M | ₽140 |
| Embedding 3 | embedding 3 | ₽5.60/M | ₽5.60/M | ₽140 |
| glm 4 air | glm 4 air | ₽5.60/M | ₽5.60/M | ₽140 |
| gpt 4o mini tts | openai | ₽3.73/M | ₽14.94/M | ₽149 |
| hunyuan embedding | hunyuan embedding | ₽7.84/M | ₽7.84/M | ₽196 |
| glm z1 flash | glm z1 flash | ₽7.88/M | ₽7.88/M | ₽197 |
| hunyuan lite | hunyuan lite | ₽7.88/M | ₽7.88/M | ₽197 |
| Jina Embeddings V3 | jina embeddings v3 | ₽7.88/M | ₽7.88/M | ₽197 |
| charglm 4 | charglm 4 | ₽11.20/M | ₽11.20/M | ₽280 |
| GLM 4 Long | GLM 4 Long | ₽11.20/M | ₽11.20/M | ₽280 |
| hunyuan standard | hunyuan standard | ₽8.96/M | ₽22.39/M | ₽291 |
| jina clip v1 | jina clip v1 | ₽11.83/M | ₽11.83/M | ₽296 |
| jina colbert v1 en | jina colbert v1 en | ₽11.83/M | ₽11.83/M | ₽296 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽11.83/M | ₽11.83/M | ₽296 |
| jina embeddings v2 base de | jina embeddings v2 base de | ₽11.83/M | ₽11.83/M | ₽296 |
| jina embeddings v2 base en | jina embeddings v2 base en | ₽11.83/M | ₽11.83/M | ₽296 |
| jina embeddings v2 base es | jina embeddings v2 base es | ₽11.83/M | ₽11.83/M | ₽296 |
| jina embeddings v2 base zh | jina embeddings v2 base zh | ₽11.83/M | ₽11.83/M | ₽296 |
| jina reranker v1 base en | jina reranker v1 base en | ₽11.83/M | ₽11.83/M | ₽296 |
| jina reranker v1 tiny en | jina reranker v1 tiny en | ₽11.83/M | ₽11.83/M | ₽296 |
| jina reranker v1 turbo en | jina reranker v1 turbo en | ₽11.83/M | ₽11.83/M | ₽296 |
| Text Embedding ADA | text embedding ada | ₽12.45/M | ₽12.45/M | ₽311 |
| Gemini 1.5 Flash | gemini 1.5 flash | ₽9.34/M | ₽37.35/M | ₽373 |
| Gemini 2.0 Flash Lite | ₽9.34/M | ₽37.35/M | ₽373 | |
| GPT-5 Nano | gpt 5 nano | ₽6.22/M | ₽49.80/M | ₽373 |
| text embedding 3 large | openai | ₽16.18/M | ₽16.18/M | ₽405 |
| ERNIE Tiny 8K | ERNIE Tiny 8K | ₽17.68/M | ₽17.68/M | ₽442 |
| ERNIE Lite Pro 128K | ERNIE Lite Pro 128K | ₽15.77/M | ₽31.54/M | ₽473 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽12.45/M | ₽49.80/M | ₽498 |
| gpt 4.1 nano | openai | ₽12.45/M | ₽49.80/M | ₽498 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽15.77/M | ₽39.42/M | ₽513 |
| Bge Large En | bge large en | ₽22.39/M | ₽22.39/M | ₽560 |
| Bge Large Zh | bge large zh | ₽22.39/M | ₽22.39/M | ₽560 |
| Tao 8K | tao 8k | ₽22.39/M | ₽22.39/M | ₽560 |
| Embedding V1 | embedding 001 | ₽22.53/M | ₽22.53/M | ₽563 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽24.90/M | ₽24.90/M | ₽622 |
| Omni Moderation | omni moderation latest | ₽24.90/M | ₽24.90/M | ₽622 |
| Sora 2 | Sora 2 | ₽24.90/M | ₽24.90/M | ₽622 |
| Text Moderation | text moderation latest | ₽24.90/M | ₽24.90/M | ₽622 |
| Text Moderation 007 | text moderation 007 | ₽24.90/M | ₽24.90/M | ₽622 |
| Text Moderation Stable | text moderation stable | ₽24.90/M | ₽24.90/M | ₽622 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽23.65/M | ₽47.31/M | ₽710 |
| ERNIE Character 8K | ERNIE Character 8K | ₽23.65/M | ₽47.31/M | ₽710 |
| ERNIE Character Fiction 8K | ERNIE Character Fiction 8K | ₽23.65/M | ₽47.31/M | ₽710 |
| ERNIE Speed Pro 128K | ERNIE Speed Pro 128K | ₽23.65/M | ₽47.31/M | ₽710 |
| GPT-4o Mini | gpt 4o mini | ₽18.67/M | ₽74.70/M | ₽747 |
| Grok 3 Mini | grok 3 mini | ₽37.35/M | ₽6.24/M | ₽778 |
| Bce Reranker Base | bce reranker base | ₽39.42/M | ₽39.42/M | ₽986 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽39.42/M | ₽39.42/M | ₽986 |
| GLM 4 Flash | glm 4 flash | ₽39.42/M | ₽39.42/M | ₽986 |
| glm z1 air | glm z1 air | ₽39.42/M | ₽39.42/M | ₽986 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽39.42/M | ₽39.42/M | ₽986 |
| qwen3-embedding-0.6b | qwen | ₽39.42/M | ₽39.42/M | ₽986 |
| gpt oss 20b | openai | ₽24.90/M | ₽99.60/M | ₽996 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽31.54/M | ₽78.85/M | ₽1 025 |
| GLM 4 Vision Plus | glm 4v plus | ₽44.79/M | ₽44.79/M | ₽1 120 |
| Claude 3 Haiku | Anthropic | ₽24.90/M | ₽124/M | ₽1 120 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽39.42/M | ₽78.85/M | ₽1 183 |
| Text Ada 001 | text ada 001 | ₽49.80/M | ₽49.80/M | ₽1 245 |
| gpt 5.4 nano | openai | ₽24.90/M | ₽156/M | ₽1 276 |
| Qwen3 0.6b | qwen3 0.6b | ₽7.88/M | ₽237/M | ₽1 340 |
| hunyuan code | hunyuan code | ₽44.79/M | ₽89.57/M | ₽1 344 |
| hunyuan functioncall | hunyuan functioncall | ₽44.79/M | ₽89.57/M | ₽1 344 |
| hunyuan role | hunyuan role | ₽44.79/M | ₽89.57/M | ₽1 344 |
| doubao embedding large text 250515 | doubao embedding large text 250515 | ₽55.19/M | ₽55.19/M | ₽1 380 |
| doubao embedding vision 241215 | doubao embedding vision 241215 | ₽55.19/M | ₽55.19/M | ₽1 380 |
| doubao embedding vision 250328 | doubao embedding vision 250328 | ₽55.19/M | ₽55.19/M | ₽1 380 |
| doubao embedding vision 250615 | doubao embedding vision 250615 | ₽55.19/M | ₽55.19/M | ₽1 380 |
| gte rerank | gte rerank | ₽55.19/M | ₽55.19/M | ₽1 380 |
| abab5.5s chat | abab5.5s chat | ₽55.98/M | ₽55.98/M | ₽1 400 |
| GLM 3 Turbo | glm 3 turbo | ₽55.98/M | ₽55.98/M | ₽1 400 |
| doubao seed 1 6 lite 251015 | doubao seed 1 6 lite 251015 | ₽23.65/M | ₽189/M | ₽1 419 |
| Grok Code Fast 1 | grok code fast 1 | ₽24.90/M | ₽187/M | ₽1 432 |
| Qwen3 1.7b | qwen3 1.7b | ₽15.77/M | ₽237/M | ₽1 498 |
| gemini 3.1 flash lite | ₽31.12/M | ₽187/M | ₽1 556 | |
| Text Babbage 001 | text babbage 001 | ₽62.25/M | ₽62.25/M | ₽1 556 |
| hunyuan large | hunyuan large | ₽44.79/M | ₽134/M | ₽1 567 |
| Qwen Long | qwen long | ₽39.42/M | ₽158/M | ₽1 577 |
| Doubao Seed 1.6 Flash | bytedance | ₽23.65/M | ₽237/M | ₽1 656 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽23.65/M | ₽237/M | ₽1 656 |
| Qwen Turbo | qwen turbo | ₽23.65/M | ₽237/M | ₽1 656 |
| Qwen3 4B | qwen3 4b | ₽23.65/M | ₽237/M | ₽1 656 |
| ERNIE Speed 128K | ERNIE Speed 128K | ₽70.71/M | ₽70.71/M | ₽1 768 |
| ERNIE Speed 8K | ERNIE Speed 8K | ₽70.71/M | ₽70.71/M | ₽1 768 |
| gpt 5.1 codex mini | openai | ₽31.12/M | ₽249/M | ₽1 867 |
| GPT-5 Mini | gpt 5 mini | ₽31.12/M | ₽249/M | ₽1 867 |
| ocoolai deepsearch v3 | ocoolai deepsearch v3 | ₽62.25/M | ₽124/M | ₽1 867 |
| Qwen-MT Turbo | alibaba | ₽55.19/M | ₽154/M | ₽1 873 |
| Yi Lightning | yi lightning | ₽78.06/M | ₽78.06/M | ₽1 951 |
| SparkDesk Lite | SparkDesk Lite | ₽78.85/M | ₽78.85/M | ₽1 971 |
| gpt 4.1 mini | openai | ₽49.80/M | ₽199/M | ₽1 992 |
| ERNIE 3.5 128K | ERNIE 3.5 128K | ₽63.08/M | ₽158/M | ₽2 050 |
| ERNIE 3.5 8K | ERNIE 3.5 8K | ₽63.08/M | ₽158/M | ₽2 050 |
| hunyuan turbos latest | hunyuan turbos 20250226 | ₽63.08/M | ₽158/M | ₽2 050 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽52.29/M | ₽209/M | ₽2 092 |
| gpt 3.5 turbo | openai | ₽62.25/M | ₽187/M | ₽2 179 |
| Claude 3.5 Haiku | Anthropic | ₽49.80/M | ₽249/M | ₽2 241 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽37.35/M | ₽311/M | ₽2 303 |
| hunyuan large longcontext | hunyuan large longcontext | ₽67.18/M | ₽202/M | ₽2 351 |
| qwen1.5 7b chat | qwen1.5 7b chat | ₽78.85/M | ₽158/M | ₽2 365 |
| Qwen2 7B Instruct | Qwen | ₽78.85/M | ₽158/M | ₽2 365 |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | ₽78.85/M | ₽158/M | ₽2 365 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽78.85/M | ₽158/M | ₽2 365 |
| step 2 mini | step 2 mini | ₽78.85/M | ₽158/M | ₽2 365 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽63.08/M | ₽252/M | ₽2 523 |
| ERNIE 4.5 Turbo 32k | ERNIE 4.5 Turbo 32k | ₽63.08/M | ₽252/M | ₽2 523 |
| glm 4.5 air | z ai | ₽47.31/M | ₽316/M | ₽2 524 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽78.85/M | ₽237/M | ₽2 760 |
| qwen3 8b | qwen | ₽39.42/M | ₽394/M | ₽2 760 |
| abab6.5s chat | abab6.5s chat | ₽112/M | ₽112/M | ₽2 799 |
| glm 4 airx | glm 4 airx | ₽112/M | ₽112/M | ₽2 799 |
| Doubao 1.5 Pro 256K | Doubao 1.5 pro 256k | ₽98.56/M | ₽177/M | ₽2 858 |
| Ascend · DeepSeek-R1 | Ascend | ₽74.70/M | ₽299/M | ₽2 988 |
| gpt audio mini | openai | ₽74.70/M | ₽299/M | ₽2 988 |
| Gemini 3 Flash | gemini 3 flash | ₽62.25/M | ₽373/M | ₽3 112 |
| net glm 3 turbo | net glm 3 turbo | ₽124/M | ₽124/M | ₽3 112 |
| net gpt 3.5 turbo | net gpt 3.5 turbo | ₽124/M | ₽124/M | ₽3 112 |
| net gpt 3.5 turbo 16k | net gpt 3.5 turbo 16k | ₽124/M | ₽124/M | ₽3 112 |
| net gpt 4 | net gpt 4 | ₽124/M | ₽124/M | ₽3 112 |
| net gpt 4 1106 preview | net gpt 4 1106 preview | ₽124/M | ₽124/M | ₽3 112 |
| net gpt 4 turbo | net gpt 4 turbo | ₽124/M | ₽124/M | ₽3 112 |
| ocoolai helper | ocoolai helper | ₽124/M | ₽124/M | ₽3 112 |
| hunyuan t1 | hunyuan t1 | ₽78.85/M | ₽315/M | ₽3 154 |
| qwen2.5 vl 3b instruct | qwen2.5 vl 3b instruct | ₽94.62/M | ₽284/M | ₽3 312 |
| Qwen3-VL Flash | alibaba | ₽47.31/M | ₽473/M | ₽3 312 |
| doubao 1 5 lite 32k 250115 | doubao 1 5 lite 32k 250115 | ₽118/M | ₽237/M | ₽3 548 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽124/M | ₽249/M | ₽3 735 |
| ocoolai deepresearch v2 | ocoolai deepresearch v2 | ₽124/M | ₽249/M | ₽3 735 |
| Bge Reranker V2 M3 | BAAI | ₽158/M | ₽158/M | ₽3 942 |
| doubao seedream 4 0 250828 | doubao seedream 4 0 250828 | ₽158/M | ₽158/M | ₽3 942 |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽158/M | ₽158/M | ₽3 942 |
| Jina Reranker M0 | jina reranker m0 | ₽158/M | ₽158/M | ₽3 942 |
| jina reranker v2 base multilingual | jina reranker v2 base multilingual | ₽158/M | ₽158/M | ₽3 942 |
| Qwen-VL Max | alibaba | ₽126/M | ₽315/M | ₽4 100 |
| doubao 1.5 vision lite 250315 | doubao 1.5 vision lite 250315 | ₽118/M | ₽355/M | ₽4 140 |
| doubao 1.5 vision pro 250328 | doubao 1.5 vision pro 250328 | ₽118/M | ₽355/M | ₽4 140 |
| Qwen-VL Plus | alibaba | ₽118/M | ₽355/M | ₽4 140 |
| qwen3 30b a3b | qwen | ₽59.14/M | ₽591/M | ₽4 140 |
| abab5.5 chat | abab5.5 chat | ₽168/M | ₽168/M | ₽4 199 |
| DeepSeek 3.2 Speciale | deepseek v3.2 speciale | ₽158/M | ₽237/M | ₽4 337 |
| deepseek reasoner v3.2 | deepseek reasoner v3.2 | ₽158/M | ₽237/M | ₽4 337 |
| deepseek v3.2 | deepseek | ₽158/M | ₽237/M | ₽4 337 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽63.08/M | ₽631/M | ₽4 415 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽63.08/M | ₽631/M | ₽4 415 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽63.08/M | ₽631/M | ₽4 415 |
| Doubao Seed 1.6 Vision 250815 | doubao seed 1 6 vision 250815 | ₽63.08/M | ₽631/M | ₽4 415 |
| Qwen Plus | qwen plus | ₽63.08/M | ₽631/M | ₽4 415 |
| gemma 2 27b it | ₽187/M | ₽187/M | ₽4 669 | |
| gpt 5.4 mini | openai | ₽93.37/M | ₽560/M | ₽4 669 |
| MiniMax Text 01 | MiniMax Text 01 | ₽78.85/M | ₽631/M | ₽4 731 |
| qwen1.5 14b chat | qwen1.5 14b chat | ₽158/M | ₽315/M | ₽4 731 |
| hunyuan vision | hunyuan vision | ₽202/M | ₽202/M | ₽5 038 |
| doubao seed code preview 251028 | doubao seed code preview 251028 | ₽94.62/M | ₽634/M | ₽5 062 |
| qwen2.5 vl 7b instruct | qwen2.5 vl 7b instruct | ₽158/M | ₽394/M | ₽5 125 |
| babbage 002 | babbage 002 | ₽209/M | ₽209/M | ₽5 229 |
| gpt oss 120b | openai | ₽137/M | ₽548/M | ₽5 478 |
| O1 Mini | o1 mini | ₽137/M | ₽548/M | ₽5 478 |
| o3 mini low | o3 mini low | ₽137/M | ₽548/M | ₽5 478 |
| o3 mini medium | o3 mini medium | ₽137/M | ₽548/M | ₽5 478 |
| O4 Mini | o4 mini | ₽137/M | ₽548/M | ₽5 478 |
| Gemini 1.5 Pro | gemini 1.5 pro | ₽157/M | ₽471/M | ₽5 490 |
| qwen 2.5 coder 32b instruct | qwen | ₽158/M | ₽473/M | ₽5 519 |
| qwen coder turbo | qwen coder turbo | ₽158/M | ₽473/M | ₽5 519 |
| qwen math turbo | qwen math turbo | ₽158/M | ₽473/M | ₽5 519 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽158/M | ₽473/M | ₽5 519 |
| qwen2.5 coder 14b instruct | qwen2.5 coder 14b instruct | ₽158/M | ₽473/M | ₽5 519 |
| qwen3 14b | qwen | ₽78.85/M | ₽788/M | ₽5 519 |
| Qwen3-VL Plus | alibaba | ₽78.85/M | ₽788/M | ₽5 519 |
| Qwq 32b | qwen | ₽158/M | ₽473/M | ₽5 519 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽124/M | ₽622/M | ₽5 602 |
| gpt 4 claude3 haiku 20240307 | gpt 4 claude3 haiku 20240307 | ₽124/M | ₽622/M | ₽5 602 |
| gpt 4 claude3.5 haiku 20241022 | gpt 4 claude3.5 haiku 20241022 | ₽124/M | ₽622/M | ₽5 602 |
| Qwen-VL OCR | alibaba | ₽225/M | ₽225/M | ₽5 632 |
| Doubao 1.5 Pro 256K 250115 | doubao 1 5 pro 256k 250115 | ₽197/M | ₽355/M | ₽5 716 |
| hunyuan turbo | hunyuan turbo | ₽168/M | ₽560/M | ₽6 158 |
| gpt 5.6 luna | openai | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna high | gpt 5.6 luna high | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna high openai compact | gpt 5.6 luna high openai compact | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna low | gpt 5.6 luna low | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna low openai compact | gpt 5.6 luna low openai compact | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna max | gpt 5.6 luna max | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna max openai compact | gpt 5.6 luna max openai compact | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna medium | gpt 5.6 luna medium | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna medium openai compact | gpt 5.6 luna medium openai compact | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna openai compact | gpt 5.6 luna openai compact | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna ultra | gpt 5.6 luna ultra | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna ultra openai compact | gpt 5.6 luna ultra openai compact | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna xhigh | gpt 5.6 luna xhigh | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna xhigh openai compact | gpt 5.6 luna xhigh openai compact | ₽124/M | ₽747/M | ₽6 225 |
| GPT-4o Mini Transcribe | openai | ₽156/M | ₽622/M | ₽6 225 |
| grok 3 image | grok 3 image | ₽249/M | ₽249/M | ₽6 225 |
| Llama 3.3 70B | llama 3.3 70b | ₽249/M | ₽249/M | ₽6 225 |
| Text Curie 001 | text curie 001 | ₽249/M | ₽249/M | ₽6 225 |
| Gemini | gemini exp 1114 | ₽157/M | ₽627/M | ₽6 275 |
| Gemini | gemini exp 1121 | ₽157/M | ₽627/M | ₽6 275 |
| gemini 2.5 flash image | ₽157/M | ₽627/M | ₽6 275 | |
| DeepSeek Chat (V3) | deepseek chat | ₽158/M | ₽631/M | ₽6 308 |
| glm 4.5 | z ai | ₽158/M | ₽631/M | ₽6 308 |
| minimax m2 | minimax | ₽158/M | ₽631/M | ₽6 308 |
| minimax m2.1 | minimax | ₽166/M | ₽662/M | ₽6 623 |
| Qwen Flash | alibaba | ₽94.62/M | ₽946/M | ₽6 623 |
| qwen coder plus | qwen coder plus | ₽225/M | ₽451/M | ₽6 759 |
| Moonshot V1 8K | moonshot v1 8k | ₽158/M | ₽788/M | ₽7 096 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽158/M | ₽788/M | ₽7 096 |
| step 1o turbo vision | step 1o turbo vision | ₽197/M | ₽631/M | ₽7 096 |
| step r1 v mini | step r1 v mini | ₽197/M | ₽631/M | ₽7 096 |
| Codex Mini | codex mini | ₽187/M | ₽747/M | ₽7 470 |
| ocoolai deepresearch v1pro | ocoolai deepresearch v1pro | ₽249/M | ₽498/M | ₽7 470 |
| Qwen Max | qwen max | ₽189/M | ₽757/M | ₽7 569 |
| Sora 2 Pro | sora 2 pro | ₽314/M | ₽314/M | ₽7 843 |
| qwen math plus | qwen math plus | ₽225/M | ₽676/M | ₽7 885 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽237/M | ₽710/M | ₽8 279 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽237/M | ₽710/M | ₽8 279 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽237/M | ₽710/M | ₽8 279 |
| qwen1.5 32b chat | qwen1.5 32b chat | ₽276/M | ₽552/M | ₽8 279 |
| Qwen2 57B A14B Instruct | Qwen | ₽276/M | ₽552/M | ₽8 279 |
| gpt 4o lite | gpt 4o lite | ₽249/M | ₽747/M | ₽8 715 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt 5 chat | openai | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt 5 codex | openai | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt 5 codex mini | gpt 5 codex mini | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt 5.1 | openai | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt 5.1 chat | openai | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt 5.1 codex | openai | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt 5.1 codex max | openai | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt audio | openai | ₽311/M | ₽622/M | ₽9 337 |
| GPT-5 | gpt 5 | ₽156/M | ₽1 245/M | ₽9 337 |
| abab6.5g chat | abab6.5g chat | ₽394/M | ₽394/M | ₽9 856 |
| abab6.5t chat | abab6.5t chat | ₽394/M | ₽394/M | ₽9 856 |
| glm z1 airx | glm z1 airx | ₽394/M | ₽394/M | ₽9 856 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽166/M | ₽1 325/M | ₽9 935 |
| gpt 3.5 turbo 16k | openai | ₽373/M | ₽498/M | ₽9 960 |
| Azure · DeepSeek-R1 | Azure | ₽249/M | ₽996/M | ₽9 960 |
| gemini 2.0 flash thinking exp 1219 | gemini 2.0 flash thinking exp 1219 | ₽249/M | ₽996/M | ₽9 960 |
| gpt 4.1 | openai | ₽249/M | ₽996/M | ₽9 960 |
| gpt image 1 mini | openai | ₽249/M | ₽996/M | ₽9 960 |
| O3 | o3 | ₽249/M | ₽996/M | ₽9 960 |
| deepseek v3.1 | deepseek v3.1 | ₽315/M | ₽946/M | ₽11 039 |
| deepseek v3.1 terminus | deepseek | ₽315/M | ₽946/M | ₽11 039 |
| glm 4.6 | z ai | ₽276/M | ₽1 104/M | ₽11 039 |
| glm 4.6v | z ai | ₽276/M | ₽1 104/M | ₽11 039 |
| qwen 2.5 72b instruct | qwen | ₽315/M | ₽946/M | ₽11 039 |
| Qwen2 72B Instruct | Qwen | ₽315/M | ₽946/M | ₽11 039 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽315/M | ₽946/M | ₽11 039 |
| qwen3 235b a22b | qwen | ₽158/M | ₽1 577/M | ₽11 039 |
| qwen3 32b | qwen | ₽158/M | ₽1 577/M | ₽11 039 |
| Grok 2 1212 | grok 2 1212 | ₽249/M | ₽1 245/M | ₽11 205 |
| Grok 2 Vision 1212 | grok 2 vision 1212 | ₽249/M | ₽1 245/M | ₽11 205 |
| kimi latest | kimi latest | ₽249/M | ₽1 245/M | ₽11 205 |
| step 1 32k | step 1 32k | ₽269/M | ₽1 254/M | ₽11 644 |
| step 1v 32k | step 1v 32k | ₽269/M | ₽1 254/M | ₽11 644 |
| yi vision v2 | yi vision v2 | ₽473/M | ₽473/M | ₽11 827 |
| qwen1.5 72b chat | qwen1.5 72b chat | ₽394/M | ₽788/M | ₽11 827 |
| gemini 2.0 pro exp | gemini 2.0 pro exp | ₽311/M | ₽1 245/M | ₽12 450 |
| Gemini 3 Pro | gemini 3 pro | ₽249/M | ₽1 494/M | ₽12 450 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽249/M | ₽1 494/M | ₽12 450 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽311/M | ₽1 245/M | ₽12 450 |
| GPT-4o | gpt 4o | ₽311/M | ₽1 245/M | ₽12 450 |
| GPT-4o Transcribe | openai | ₽311/M | ₽1 245/M | ₽12 450 |
| llama 4 | meta llama | ₽311/M | ₽1 245/M | ₽12 450 |
| Llama 4 Scout | llama 4 scout | ₽311/M | ₽1 245/M | ₽12 450 |
| gpt 4o mini realtime preview | gpt 4o mini realtime preview | ₽314/M | ₽1 255/M | ₽12 549 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽315/M | ₽1 262/M | ₽12 616 |
| doubao 1 5 thinking pro 250415 | doubao 1 5 thinking pro 250415 | ₽315/M | ₽1 262/M | ₽12 616 |
| GLM 4.5 Airx | glm 4.5 airx | ₽315/M | ₽1 262/M | ₽12 616 |
| glm 4.7 | z ai | ₽315/M | ₽1 262/M | ₽12 616 |
| Kimi K2 | kimi k2 | ₽315/M | ₽1 262/M | ₽12 616 |
| ocoolAI · DeepSeek-R1 | ocoolAI | ₽324/M | ₽1 295/M | ₽12 948 |
| gpt 3.5o | gpt 3.5o | ₽373/M | ₽1 120/M | ₽13 072 |
| gpt 5.2 | openai | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.2 chat | openai | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.2 codex | openai | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.3 chat | openai | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.3 codex | openai | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.3 codex low | gpt 5.3 codex low | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.3 codex openai compact | gpt 5.3 codex openai compact | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.3 codex spark | gpt 5.3 codex spark | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.3 codex xhigh | gpt 5.3 codex xhigh | ₽218/M | ₽1 743/M | ₽13 072 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽189/M | ₽1 892/M | ₽13 246 |
| minimax m1 | minimax | ₽189/M | ₽1 892/M | ₽13 246 |
| GLM-4 Plus | glm 4 plus | ₽560/M | ₽560/M | ₽13 995 |
| Kimi K2.5 | kimi k2.5 | ₽315/M | ₽1 656/M | ₽14 587 |
| gpt 5.4 | openai | ₽311/M | ₽1 867/M | ₽15 562 |
| GPT 5.4 High | gpt 5.4 high | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.4 openai compact | gpt 5.4 openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra | openai | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra high | gpt 5.6 terra high | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra high openai compact | gpt 5.6 terra high openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra low | gpt 5.6 terra low | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra low openai compact | gpt 5.6 terra low openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra max | gpt 5.6 terra max | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra max openai compact | gpt 5.6 terra max openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra medium | gpt 5.6 terra medium | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra medium openai compact | gpt 5.6 terra medium openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra openai compact | gpt 5.6 terra openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra ultra | gpt 5.6 terra ultra | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra ultra openai compact | gpt 5.6 terra ultra openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra xhigh | gpt 5.6 terra xhigh | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra xhigh openai compact | gpt 5.6 terra xhigh openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| Grok Vision Beta | grok vision beta | ₽622/M | ₽622/M | ₽15 562 |
| Moonshot V1 32K | moonshot v1 32k | ₽394/M | ₽1 577/M | ₽15 770 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽394/M | ₽1 577/M | ₽15 770 |
| qwen1.5 110b chat | qwen1.5 110b chat | ₽552/M | ₽1 104/M | ₽16 558 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽373/M | ₽1 867/M | ₽16 807 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽373/M | ₽1 867/M | ₽16 807 |
| gpt 4 claude3 sonnet 20240229 | gpt 4 claude3 sonnet 20240229 | ₽373/M | ₽1 867/M | ₽16 807 |
| gpt 4 claude3.5 sonnet 20240620 | gpt 4 claude3.5 sonnet 20240620 | ₽373/M | ₽1 867/M | ₽16 807 |
| gpt 4 claude3.5 sonnet 20241022 | gpt 4 claude3.5 sonnet 20241022 | ₽373/M | ₽1 867/M | ₽16 807 |
| gpt 4 claude3.7 sonnet 20250219 | gpt 4 claude3.7 sonnet 20250219 | ₽373/M | ₽1 867/M | ₽16 807 |
| grok 3 deepersearch | grok 3 deepersearch | ₽373/M | ₽1 867/M | ₽16 807 |
| grok 3 reasoning | grok 3 reasoning | ₽373/M | ₽1 867/M | ₽16 807 |
| Grok 4 | grok 4 | ₽373/M | ₽1 867/M | ₽16 807 |
| qwen3 coder flash | qwen | ₽394/M | ₽1 971/M | ₽17 741 |
| GLM-5 | glm 5 | ₽473/M | ₽1 892/M | ₽18 923 |
| deepseek ai · DeepSeek-R1 | deepseek ai | ₽498/M | ₽1 992/M | ₽19 919 |
| gpt realtime | gpt realtime | ₽498/M | ₽1 992/M | ₽19 919 |
| grok beta | grok beta | ₽622/M | ₽1 867/M | ₽21 787 |
| hunyuan turbo vision | hunyuan turbo vision | ₽896/M | ₽896/M | ₽22 393 |
| Meta Llama 3.1 405B Instruct | Meta Llama 3.1 405B Instruct | ₽896/M | ₽896/M | ₽22 409 |
| Qwen-MT Plus | alibaba | ₽710/M | ₽2 129/M | ₽24 837 |
| gpt 4o realtime preview | gpt 4o realtime preview | ₽622/M | ₽2 490/M | ₽24 899 |
| GLM 4.5 X | glm 4.5 x | ₽631/M | ₽2 523/M | ₽25 231 |
| Davinci | davinci | ₽1 046/M | ₽1 046/M | ₽26 144 |
| gemini 3.1 flash image | ₽1 046/M | ₽1 046/M | ₽26 144 | |
| Moonshot V1 128K | moonshot v1 128k | ₽788/M | ₽2 365/M | ₽27 597 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽788/M | ₽2 365/M | ₽27 597 |
| SparkDesk Pro | SparkDesk Pro | ₽1 104/M | ₽1 104/M | ₽27 597 |
| GLM 4 Vision | glm 4v | ₽1 120/M | ₽1 120/M | ₽27 991 |
| Claude Opus 4.5 | claude opus 4 5 | ₽622/M | ₽3 112/M | ₽28 012 |
| Claude Opus 4.6 | claude opus 4 6 | ₽622/M | ₽3 112/M | ₽28 012 |
| Claude Opus 4.7 | claude opus 4 7 | ₽622/M | ₽3 112/M | ₽28 012 |
| claude opus 4.8 | anthropic | ₽622/M | ₽3 112/M | ₽28 012 |
| KAT Dev 72B Exp | KAT Dev 72B Exp | ₽749/M | ₽2 996/M | ₽29 962 |
| gpt 5.5 | openai | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.5 openai compact | gpt 5.5 openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol | openai | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol high | gpt 5.6 sol high | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol high openai compact | gpt 5.6 sol high openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol low | gpt 5.6 sol low | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol low openai compact | gpt 5.6 sol low openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol max | gpt 5.6 sol max | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol max openai compact | gpt 5.6 sol max openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol medium | gpt 5.6 sol medium | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol medium openai compact | gpt 5.6 sol medium openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol openai compact | gpt 5.6 sol openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol ultra | gpt 5.6 sol ultra | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol ultra openai compact | gpt 5.6 sol ultra openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol xhigh | gpt 5.6 sol xhigh | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol xhigh openai compact | gpt 5.6 sol xhigh openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| KAT Coder | KAT Coder | ₽788/M | ₽3 154/M | ₽31 539 |
| Qwen3 Max | qwen3 max | ₽788/M | ₽3 154/M | ₽31 539 |
| gpt image 1.5 | openai | ₽622/M | ₽3 984/M | ₽32 369 |
| Qvq 72B Preview | Qwen | ₽946/M | ₽2 839/M | ₽33 116 |
| kimi k2 thinking turbo | kimi k2 thinking turbo | ₽631/M | ₽4 573/M | ₽35 482 |
| gpt image 1 | openai | ₽622/M | ₽4 980/M | ₽37 349 |
| gpt 5 search api | gpt 5 search api | ₽654/M | ₽5 229/M | ₽39 216 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽1 245/M | ₽3 735/M | ₽43 574 |
| gpt 4 turbo | openai | ₽1 245/M | ₽3 735/M | ₽43 574 |
| gpt 4 vision | gpt 4 vision | ₽1 245/M | ₽3 735/M | ₽43 574 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽1 262/M | ₽3 785/M | ₽44 155 |
| qwen2.5 vl 72b instruct | qwen | ₽1 262/M | ₽3 785/M | ₽44 155 |
| tts 1 | openai | ₽1 867/M | ₽1 867/M | ₽46 686 |
| Tts 1 1106 | tts 1 1106 | ₽1 867/M | ₽1 867/M | ₽46 686 |
| ERNIE 4.0 8K | ERNIE 4.0 8K | ₽1 344/M | ₽4 031/M | ₽47 025 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽1 262/M | ₽5 046/M | ₽50 463 |
| SparkDesk Pro 128K | SparkDesk Pro 128K | ₽2 050/M | ₽2 050/M | ₽51 251 |
| step 1o vision 32k | step 1o vision 32k | ₽1 183/M | ₽5 519/M | ₽51 251 |
| ERNIE 4.0 Turbo 128K | ERNIE 4.0 Turbo 128K | ₽1 577/M | ₽4 731/M | ₽55 193 |
| ERNIE 4.0 Turbo 8K | ERNIE 4.0 Turbo 8K | ₽1 577/M | ₽4 731/M | ₽55 193 |
| claude fable 5 | anthropic | ₽1 245/M | ₽6 225/M | ₽56 023 |
| GLM 4 | glm 4 | ₽2 365/M | ₽2 365/M | ₽59 136 |
| Text Davinci 002 | text davinci 002 | ₽2 490/M | ₽2 490/M | ₽62 248 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽2 490/M | ₽2 490/M | ₽62 248 |
| Claude Sonnet 4 | claude sonnet 4 | ₽1 569/M | ₽7 843/M | ₽70 590 |
| Sonnet 3 | claude 3 sonnet 20240229 | ₽1 569/M | ₽7 843/M | ₽70 590 |
| whisper 1 | openai | ₽3 735/M | ₽3 735/M | ₽74 698 |
| gpt 4 claude3 opus 20240229 | gpt 4 claude3 opus 20240229 | ₽1 867/M | ₽9 337/M | ₽84 035 |
| hunyuan pro | hunyuan pro | ₽2 365/M | ₽7 885/M | ₽86 733 |
| tts 1 hd | openai | ₽3 735/M | ₽3 735/M | ₽93 372 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽3 735/M | ₽3 735/M | ₽93 372 |
| o3 pro | openai | ₽2 490/M | ₽9 960/M | ₽99 597 |
| ERNIE Novel 8K | ERNIE Novel 8K | ₽3 154/M | ₽9 462/M | ₽110 387 |
| qwen3 coder plus | qwen | ₽1 577/M | ₽15 770/M | ₽110 387 |
| gpt 4 gizmo * | gpt 4 gizmo * | ₽3 735/M | ₽7 470/M | ₽112 047 |
| gpt 5 pro | openai | ₽1 867/M | ₽14 940/M | ₽112 047 |
| SparkDesk Max | SparkDesk Max | ₽4 731/M | ₽4 731/M | ₽118 272 |
| DALL E 3 | DALL E 3 | ₽4 980/M | ₽4 980/M | ₽124 497 |
| doubao seed 2 0 mini 260215 | doubao seed 2 0 mini 260215 | ₽5 914/M | ₽5 914/M | ₽147 840 |
| Doubao Seed 2.0 Code Preview | bytedance | ₽5 914/M | ₽5 914/M | ₽147 840 |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | ₽5 914/M | ₽5 914/M | ₽147 840 |
| Doubao Seed 2.0 Pro | bytedance | ₽5 914/M | ₽5 914/M | ₽147 840 |
| glm 4.6v flash | glm 4.6v flash | ₽5 914/M | ₽5 914/M | ₽147 840 |
| KAT Coder Air V1 | KAT Coder Air V1 | ₽5 914/M | ₽5 914/M | ₽147 840 |
| KAT Coder Exp 72B 1010 | KAT Coder Exp 72B 1010 | ₽5 914/M | ₽5 914/M | ₽147 840 |
| KAT Coder Pro V1 | KAT Coder Pro V1 | ₽5 914/M | ₽5 914/M | ₽147 840 |
| minimax m2.5 | minimax | ₽5 914/M | ₽5 914/M | ₽147 840 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽5 914/M | ₽5 914/M | ₽147 840 |
| SparkDesk Max 32k | SparkDesk Max 32k | ₽7 096/M | ₽7 096/M | ₽177 408 |
| step tts mini | step tts mini | ₽7 096/M | ₽7 096/M | ₽177 408 |
| gpt 5.4 pro | openai | ₽3 735/M | ₽22 409/M | ₽186 745 |
| sambert v1 | sambert v1 | ₽7 885/M | ₽7 885/M | ₽197 120 |
| SenseVoiceSmall | SenseVoiceSmall | ₽7 885/M | ₽7 885/M | ₽197 120 |
| GPT 4 32K | gpt 4 32k | ₽7 470/M | ₽14 940/M | ₽224 094 |
| chirp v3 0 | chirp v3 0 | ₽9 337/M | ₽9 337/M | ₽233 431 |
| chirp v3 5 | chirp v3 5 | ₽9 337/M | ₽9 337/M | ₽233 431 |
| codex auto review | codex auto review | ₽9 337/M | ₽9 337/M | ₽233 431 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽9 337/M | ₽9 337/M | ₽233 431 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽9 337/M | ₽9 337/M | ₽233 431 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽9 337/M | ₽9 337/M | ₽233 431 |
| grok 4.5 | x ai | ₽9 337/M | ₽9 337/M | ₽233 431 |
| pika text to video | pika text to video | ₽9 337/M | ₽9 337/M | ₽233 431 |
| Dall E 2 | dall e 2 | ₽10 458/M | ₽10 458/M | ₽261 443 |
| SparkDesk 4.0 Ultra | SparkDesk 4.0 Ultra | ₽11 039/M | ₽11 039/M | ₽275 967 |
| gpt 4.5 preview | gpt 4.5 preview | ₽9 337/M | ₽18 674/M | ₽280 117 |
| Claude 3 Opus | claude 3 opus | ₽7 843/M | ₽39 216/M | ₽352 948 |
| Claude Opus 4 | claude opus 4 | ₽7 843/M | ₽39 216/M | ₽352 948 |
| gpt realtime mini | gpt realtime mini | ₽9 337/M | ₽37 349/M | ₽373 490 |
| z image | z image | ₽15 687/M | ₽15 687/M | ₽392 164 |
| speech 01 turbo | speech 01 turbo | ₽15 770/M | ₽15 770/M | ₽394 239 |
| speech 02 turbo | speech 02 turbo | ₽15 770/M | ₽15 770/M | ₽394 239 |
| gpt 5.2 pro | openai | ₽10 981/M | ₽87 845/M | ₽658 836 |
| paraformer realtime v2 | paraformer realtime v2 | ₽27 597/M | ₽27 597/M | ₽689 918 |
| speech 01 hd | speech 01 hd | ₽27 597/M | ₽27 597/M | ₽689 918 |
| speech 02 hd | speech 02 hd | ₽27 597/M | ₽27 597/M | ₽689 918 |
| Flux Kontext Max | flux kontext max | ₽39 216/M | ₽39 216/M | ₽980 410 |
| flux kontext pro | flux kontext pro | ₽39 216/M | ₽39 216/M | ₽980 410 |
| Doubao tts | Doubao tts | ₽39 424/M | ₽39 424/M | ₽985 598 |
| parse pdf | parse pdf | ₽1 576 956/M | ₽1 576 956/M | ₽39 423 908 |
Изображения
за изображение · 3
▼
Изображения
за изображение · 3
| Модель | Maker | Цена |
|---|---|---|
| Flux | flux | ₽1.24/изобр. |
| gpt 4o image | gpt 4o image | ₽6.22/изобр. |
| gpt image 2 | gpt image 2 | ₽24.90/изобр. |
За запрос
фиксированная цена за вызов · 31
▼
За запрос
фиксированная цена за вызов · 31
| Модель | Maker | Цена |
|---|---|---|
| stable diffusion | stable diffusion | ₽0.12/вызов |
| Chatglm_pro | chatglm_pro | ₽0.82/вызов |
| Concise | concise | ₽0.82/вызов |
| concise scholar | concise scholar | ₽0.82/вызов |
| Detail | detail | ₽0.82/вызов |
| detail scholar | detail scholar | ₽0.82/вызов |
| Hailuo | hailuo | ₽0.82/вызов |
| Research | research | ₽0.82/вызов |
| research scholar | research scholar | ₽0.82/вызов |
| Grok 3 | grok 3 | ₽1.24/вызов |
| DeepSeek R1 | deepseek r1 | ₽2.60/вызов |
| O3 Mini | o3 mini | ₽3.73/вызов |
| DeepSeek V3 | deepseek search | ₽4.11/вызов |
| jimeng 3.0 | jimeng 3.0 | ₽6.22/вызов |
| gpt 4 claude3.5 sonnet all | gpt 4 claude3.5 sonnet all | ₽8.09/вызов |
| Sonnet 3.5 | claude 3 5 sonnet 20240620 | ₽8.09/вызов |
| gpt 4 grok 3 all | gpt 4 grok 3 all | ₽8.22/вызов |
| grok 3 deepsearch | grok 3 deepsearch | ₽8.22/вызов |
| grok 3 reasoner | grok 3 reasoner | ₽8.22/вызов |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽12.45/вызов |
| gpt 4 | openai | ₽12.45/вызов |
| luma video | luma video | ₽12.45/вызов |
| mj chat | mj chat | ₽12.45/вызов |
| url analysis | url analysis | ₽12.45/вызов |
| Midjourney | midjourney | ₽13.69/вызов |
| Suno | suno | ₽14.94/вызов |
| o3 mini high | openai | ₽19.92/вызов |
| O1 | o1 | ₽37.35/вызов |
| o1 pro | openai | ₽74.70/вызов |
| veo 3.0 fast generate 001 | veo 3.0 fast generate 001 | ₽627/вызов |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽1 673/вызов |
Без публичной цены
нет данных в открытых источниках · 1
▼
Без публичной цены
нет данных в открытых источниках · 1
| Модель | Maker | Примечание |
|---|---|---|
| GLM 4V Flash | GLM 4V Flash | — |
Текст и чат
оплата за токены · 438
▼
Текст и чат
оплата за токены · 438
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Qwen Text Embedding v3 | alibaba | ₽0.08/M | ₽0.08/M | ₽2 |
| step 1 8k | step 1 8k | ₽0.06/M | ₽0.22/M | ₽2 |
| step 1v 8k | step 1v 8k | ₽0.06/M | ₽0.22/M | ₽2 |
| search gpts chat | search gpts chat | ₽0.25/M | ₽0.25/M | ₽6 |
| Step 2 16K | step 2 16k | ₽0.43/M | ₽1.34/M | ₽15 |
| step 1 256k | step 1 256k | ₽1.06/M | ₽0.34/M | ₽23 |
| codegeex 4 | codegeex 4 | ₽1.12/M | ₽1.12/M | ₽28 |
| glm 4 flashx | glm 4 flashx | ₽1.12/M | ₽1.12/M | ₽28 |
| text embedding 3 small | openai | ₽2.49/M | ₽2.49/M | ₽62 |
| glm 4.5 flash | glm 4.5 flash | ₽1.58/M | ₽6.31/M | ₽63 |
| Embedding 2 | embedding 2 | ₽5.60/M | ₽5.60/M | ₽140 |
| Embedding 3 | embedding 3 | ₽5.60/M | ₽5.60/M | ₽140 |
| glm 4 air | glm 4 air | ₽5.60/M | ₽5.60/M | ₽140 |
| gpt 4o mini tts | openai | ₽3.73/M | ₽14.94/M | ₽149 |
| hunyuan embedding | hunyuan embedding | ₽7.84/M | ₽7.84/M | ₽196 |
| glm z1 flash | glm z1 flash | ₽7.88/M | ₽7.88/M | ₽197 |
| hunyuan lite | hunyuan lite | ₽7.88/M | ₽7.88/M | ₽197 |
| Jina Embeddings V3 | jina embeddings v3 | ₽7.88/M | ₽7.88/M | ₽197 |
| charglm 4 | charglm 4 | ₽11.20/M | ₽11.20/M | ₽280 |
| GLM 4 Long | GLM 4 Long | ₽11.20/M | ₽11.20/M | ₽280 |
| hunyuan standard | hunyuan standard | ₽8.96/M | ₽22.39/M | ₽291 |
| jina clip v1 | jina clip v1 | ₽11.83/M | ₽11.83/M | ₽296 |
| jina colbert v1 en | jina colbert v1 en | ₽11.83/M | ₽11.83/M | ₽296 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽11.83/M | ₽11.83/M | ₽296 |
| jina embeddings v2 base de | jina embeddings v2 base de | ₽11.83/M | ₽11.83/M | ₽296 |
| jina embeddings v2 base en | jina embeddings v2 base en | ₽11.83/M | ₽11.83/M | ₽296 |
| jina embeddings v2 base es | jina embeddings v2 base es | ₽11.83/M | ₽11.83/M | ₽296 |
| jina embeddings v2 base zh | jina embeddings v2 base zh | ₽11.83/M | ₽11.83/M | ₽296 |
| jina reranker v1 base en | jina reranker v1 base en | ₽11.83/M | ₽11.83/M | ₽296 |
| jina reranker v1 tiny en | jina reranker v1 tiny en | ₽11.83/M | ₽11.83/M | ₽296 |
| jina reranker v1 turbo en | jina reranker v1 turbo en | ₽11.83/M | ₽11.83/M | ₽296 |
| Text Embedding ADA | text embedding ada | ₽12.45/M | ₽12.45/M | ₽311 |
| Gemini 1.5 Flash | gemini 1.5 flash | ₽9.34/M | ₽37.35/M | ₽373 |
| Gemini 2.0 Flash Lite | ₽9.34/M | ₽37.35/M | ₽373 | |
| GPT-5 Nano | gpt 5 nano | ₽6.22/M | ₽49.80/M | ₽373 |
| text embedding 3 large | openai | ₽16.18/M | ₽16.18/M | ₽405 |
| ERNIE Tiny 8K | ERNIE Tiny 8K | ₽17.68/M | ₽17.68/M | ₽442 |
| ERNIE Lite Pro 128K | ERNIE Lite Pro 128K | ₽15.77/M | ₽31.54/M | ₽473 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽12.45/M | ₽49.80/M | ₽498 |
| gpt 4.1 nano | openai | ₽12.45/M | ₽49.80/M | ₽498 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽15.77/M | ₽39.42/M | ₽513 |
| Bge Large En | bge large en | ₽22.39/M | ₽22.39/M | ₽560 |
| Bge Large Zh | bge large zh | ₽22.39/M | ₽22.39/M | ₽560 |
| Tao 8K | tao 8k | ₽22.39/M | ₽22.39/M | ₽560 |
| Embedding V1 | embedding 001 | ₽22.53/M | ₽22.53/M | ₽563 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽24.90/M | ₽24.90/M | ₽622 |
| Omni Moderation | omni moderation latest | ₽24.90/M | ₽24.90/M | ₽622 |
| Sora 2 | Sora 2 | ₽24.90/M | ₽24.90/M | ₽622 |
| Text Moderation | text moderation latest | ₽24.90/M | ₽24.90/M | ₽622 |
| Text Moderation 007 | text moderation 007 | ₽24.90/M | ₽24.90/M | ₽622 |
| Text Moderation Stable | text moderation stable | ₽24.90/M | ₽24.90/M | ₽622 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽23.65/M | ₽47.31/M | ₽710 |
| ERNIE Character 8K | ERNIE Character 8K | ₽23.65/M | ₽47.31/M | ₽710 |
| ERNIE Character Fiction 8K | ERNIE Character Fiction 8K | ₽23.65/M | ₽47.31/M | ₽710 |
| ERNIE Speed Pro 128K | ERNIE Speed Pro 128K | ₽23.65/M | ₽47.31/M | ₽710 |
| GPT-4o Mini | gpt 4o mini | ₽18.67/M | ₽74.70/M | ₽747 |
| Grok 3 Mini | grok 3 mini | ₽37.35/M | ₽6.24/M | ₽778 |
| Bce Reranker Base | bce reranker base | ₽39.42/M | ₽39.42/M | ₽986 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽39.42/M | ₽39.42/M | ₽986 |
| GLM 4 Flash | glm 4 flash | ₽39.42/M | ₽39.42/M | ₽986 |
| glm z1 air | glm z1 air | ₽39.42/M | ₽39.42/M | ₽986 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽39.42/M | ₽39.42/M | ₽986 |
| qwen3-embedding-0.6b | qwen | ₽39.42/M | ₽39.42/M | ₽986 |
| gpt oss 20b | openai | ₽24.90/M | ₽99.60/M | ₽996 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽31.54/M | ₽78.85/M | ₽1 025 |
| GLM 4 Vision Plus | glm 4v plus | ₽44.79/M | ₽44.79/M | ₽1 120 |
| Claude 3 Haiku | Anthropic | ₽24.90/M | ₽124/M | ₽1 120 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽39.42/M | ₽78.85/M | ₽1 183 |
| Text Ada 001 | text ada 001 | ₽49.80/M | ₽49.80/M | ₽1 245 |
| gpt 5.4 nano | openai | ₽24.90/M | ₽156/M | ₽1 276 |
| Qwen3 0.6b | qwen3 0.6b | ₽7.88/M | ₽237/M | ₽1 340 |
| hunyuan code | hunyuan code | ₽44.79/M | ₽89.57/M | ₽1 344 |
| hunyuan functioncall | hunyuan functioncall | ₽44.79/M | ₽89.57/M | ₽1 344 |
| hunyuan role | hunyuan role | ₽44.79/M | ₽89.57/M | ₽1 344 |
| doubao embedding large text 250515 | doubao embedding large text 250515 | ₽55.19/M | ₽55.19/M | ₽1 380 |
| doubao embedding vision 241215 | doubao embedding vision 241215 | ₽55.19/M | ₽55.19/M | ₽1 380 |
| doubao embedding vision 250328 | doubao embedding vision 250328 | ₽55.19/M | ₽55.19/M | ₽1 380 |
| doubao embedding vision 250615 | doubao embedding vision 250615 | ₽55.19/M | ₽55.19/M | ₽1 380 |
| gte rerank | gte rerank | ₽55.19/M | ₽55.19/M | ₽1 380 |
| abab5.5s chat | abab5.5s chat | ₽55.98/M | ₽55.98/M | ₽1 400 |
| GLM 3 Turbo | glm 3 turbo | ₽55.98/M | ₽55.98/M | ₽1 400 |
| doubao seed 1 6 lite 251015 | doubao seed 1 6 lite 251015 | ₽23.65/M | ₽189/M | ₽1 419 |
| Grok Code Fast 1 | grok code fast 1 | ₽24.90/M | ₽187/M | ₽1 432 |
| Qwen3 1.7b | qwen3 1.7b | ₽15.77/M | ₽237/M | ₽1 498 |
| gemini 3.1 flash lite | ₽31.12/M | ₽187/M | ₽1 556 | |
| Text Babbage 001 | text babbage 001 | ₽62.25/M | ₽62.25/M | ₽1 556 |
| hunyuan large | hunyuan large | ₽44.79/M | ₽134/M | ₽1 567 |
| Qwen Long | qwen long | ₽39.42/M | ₽158/M | ₽1 577 |
| Doubao Seed 1.6 Flash | bytedance | ₽23.65/M | ₽237/M | ₽1 656 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽23.65/M | ₽237/M | ₽1 656 |
| Qwen Turbo | qwen turbo | ₽23.65/M | ₽237/M | ₽1 656 |
| Qwen3 4B | qwen3 4b | ₽23.65/M | ₽237/M | ₽1 656 |
| ERNIE Speed 128K | ERNIE Speed 128K | ₽70.71/M | ₽70.71/M | ₽1 768 |
| ERNIE Speed 8K | ERNIE Speed 8K | ₽70.71/M | ₽70.71/M | ₽1 768 |
| gpt 5.1 codex mini | openai | ₽31.12/M | ₽249/M | ₽1 867 |
| GPT-5 Mini | gpt 5 mini | ₽31.12/M | ₽249/M | ₽1 867 |
| ocoolai deepsearch v3 | ocoolai deepsearch v3 | ₽62.25/M | ₽124/M | ₽1 867 |
| Qwen-MT Turbo | alibaba | ₽55.19/M | ₽154/M | ₽1 873 |
| Yi Lightning | yi lightning | ₽78.06/M | ₽78.06/M | ₽1 951 |
| SparkDesk Lite | SparkDesk Lite | ₽78.85/M | ₽78.85/M | ₽1 971 |
| gpt 4.1 mini | openai | ₽49.80/M | ₽199/M | ₽1 992 |
| ERNIE 3.5 128K | ERNIE 3.5 128K | ₽63.08/M | ₽158/M | ₽2 050 |
| ERNIE 3.5 8K | ERNIE 3.5 8K | ₽63.08/M | ₽158/M | ₽2 050 |
| hunyuan turbos latest | hunyuan turbos 20250226 | ₽63.08/M | ₽158/M | ₽2 050 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽52.29/M | ₽209/M | ₽2 092 |
| gpt 3.5 turbo | openai | ₽62.25/M | ₽187/M | ₽2 179 |
| Claude 3.5 Haiku | Anthropic | ₽49.80/M | ₽249/M | ₽2 241 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽37.35/M | ₽311/M | ₽2 303 |
| hunyuan large longcontext | hunyuan large longcontext | ₽67.18/M | ₽202/M | ₽2 351 |
| qwen1.5 7b chat | qwen1.5 7b chat | ₽78.85/M | ₽158/M | ₽2 365 |
| Qwen2 7B Instruct | Qwen | ₽78.85/M | ₽158/M | ₽2 365 |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | ₽78.85/M | ₽158/M | ₽2 365 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽78.85/M | ₽158/M | ₽2 365 |
| step 2 mini | step 2 mini | ₽78.85/M | ₽158/M | ₽2 365 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽63.08/M | ₽252/M | ₽2 523 |
| ERNIE 4.5 Turbo 32k | ERNIE 4.5 Turbo 32k | ₽63.08/M | ₽252/M | ₽2 523 |
| glm 4.5 air | z ai | ₽47.31/M | ₽316/M | ₽2 524 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽78.85/M | ₽237/M | ₽2 760 |
| qwen3 8b | qwen | ₽39.42/M | ₽394/M | ₽2 760 |
| abab6.5s chat | abab6.5s chat | ₽112/M | ₽112/M | ₽2 799 |
| glm 4 airx | glm 4 airx | ₽112/M | ₽112/M | ₽2 799 |
| Doubao 1.5 Pro 256K | Doubao 1.5 pro 256k | ₽98.56/M | ₽177/M | ₽2 858 |
| Ascend · DeepSeek-R1 | Ascend | ₽74.70/M | ₽299/M | ₽2 988 |
| gpt audio mini | openai | ₽74.70/M | ₽299/M | ₽2 988 |
| Gemini 3 Flash | gemini 3 flash | ₽62.25/M | ₽373/M | ₽3 112 |
| net glm 3 turbo | net glm 3 turbo | ₽124/M | ₽124/M | ₽3 112 |
| net gpt 3.5 turbo | net gpt 3.5 turbo | ₽124/M | ₽124/M | ₽3 112 |
| net gpt 3.5 turbo 16k | net gpt 3.5 turbo 16k | ₽124/M | ₽124/M | ₽3 112 |
| net gpt 4 | net gpt 4 | ₽124/M | ₽124/M | ₽3 112 |
| net gpt 4 1106 preview | net gpt 4 1106 preview | ₽124/M | ₽124/M | ₽3 112 |
| net gpt 4 turbo | net gpt 4 turbo | ₽124/M | ₽124/M | ₽3 112 |
| ocoolai helper | ocoolai helper | ₽124/M | ₽124/M | ₽3 112 |
| hunyuan t1 | hunyuan t1 | ₽78.85/M | ₽315/M | ₽3 154 |
| qwen2.5 vl 3b instruct | qwen2.5 vl 3b instruct | ₽94.62/M | ₽284/M | ₽3 312 |
| Qwen3-VL Flash | alibaba | ₽47.31/M | ₽473/M | ₽3 312 |
| doubao 1 5 lite 32k 250115 | doubao 1 5 lite 32k 250115 | ₽118/M | ₽237/M | ₽3 548 |
| GPT 3.5 Turbo 1106 | gpt 3.5 turbo 1106 | ₽124/M | ₽249/M | ₽3 735 |
| ocoolai deepresearch v2 | ocoolai deepresearch v2 | ₽124/M | ₽249/M | ₽3 735 |
| Bge Reranker V2 M3 | BAAI | ₽158/M | ₽158/M | ₽3 942 |
| doubao seedream 4 0 250828 | doubao seedream 4 0 250828 | ₽158/M | ₽158/M | ₽3 942 |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽158/M | ₽158/M | ₽3 942 |
| Jina Reranker M0 | jina reranker m0 | ₽158/M | ₽158/M | ₽3 942 |
| jina reranker v2 base multilingual | jina reranker v2 base multilingual | ₽158/M | ₽158/M | ₽3 942 |
| Qwen-VL Max | alibaba | ₽126/M | ₽315/M | ₽4 100 |
| doubao 1.5 vision lite 250315 | doubao 1.5 vision lite 250315 | ₽118/M | ₽355/M | ₽4 140 |
| doubao 1.5 vision pro 250328 | doubao 1.5 vision pro 250328 | ₽118/M | ₽355/M | ₽4 140 |
| Qwen-VL Plus | alibaba | ₽118/M | ₽355/M | ₽4 140 |
| qwen3 30b a3b | qwen | ₽59.14/M | ₽591/M | ₽4 140 |
| abab5.5 chat | abab5.5 chat | ₽168/M | ₽168/M | ₽4 199 |
| DeepSeek 3.2 Speciale | deepseek v3.2 speciale | ₽158/M | ₽237/M | ₽4 337 |
| deepseek reasoner v3.2 | deepseek reasoner v3.2 | ₽158/M | ₽237/M | ₽4 337 |
| deepseek v3.2 | deepseek | ₽158/M | ₽237/M | ₽4 337 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽63.08/M | ₽631/M | ₽4 415 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽63.08/M | ₽631/M | ₽4 415 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽63.08/M | ₽631/M | ₽4 415 |
| Doubao Seed 1.6 Vision 250815 | doubao seed 1 6 vision 250815 | ₽63.08/M | ₽631/M | ₽4 415 |
| Qwen Plus | qwen plus | ₽63.08/M | ₽631/M | ₽4 415 |
| gemma 2 27b it | ₽187/M | ₽187/M | ₽4 669 | |
| gpt 5.4 mini | openai | ₽93.37/M | ₽560/M | ₽4 669 |
| MiniMax Text 01 | MiniMax Text 01 | ₽78.85/M | ₽631/M | ₽4 731 |
| qwen1.5 14b chat | qwen1.5 14b chat | ₽158/M | ₽315/M | ₽4 731 |
| hunyuan vision | hunyuan vision | ₽202/M | ₽202/M | ₽5 038 |
| doubao seed code preview 251028 | doubao seed code preview 251028 | ₽94.62/M | ₽634/M | ₽5 062 |
| qwen2.5 vl 7b instruct | qwen2.5 vl 7b instruct | ₽158/M | ₽394/M | ₽5 125 |
| babbage 002 | babbage 002 | ₽209/M | ₽209/M | ₽5 229 |
| gpt oss 120b | openai | ₽137/M | ₽548/M | ₽5 478 |
| O1 Mini | o1 mini | ₽137/M | ₽548/M | ₽5 478 |
| o3 mini low | o3 mini low | ₽137/M | ₽548/M | ₽5 478 |
| o3 mini medium | o3 mini medium | ₽137/M | ₽548/M | ₽5 478 |
| O4 Mini | o4 mini | ₽137/M | ₽548/M | ₽5 478 |
| Gemini 1.5 Pro | gemini 1.5 pro | ₽157/M | ₽471/M | ₽5 490 |
| qwen 2.5 coder 32b instruct | qwen | ₽158/M | ₽473/M | ₽5 519 |
| qwen coder turbo | qwen coder turbo | ₽158/M | ₽473/M | ₽5 519 |
| qwen math turbo | qwen math turbo | ₽158/M | ₽473/M | ₽5 519 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽158/M | ₽473/M | ₽5 519 |
| qwen2.5 coder 14b instruct | qwen2.5 coder 14b instruct | ₽158/M | ₽473/M | ₽5 519 |
| qwen3 14b | qwen | ₽78.85/M | ₽788/M | ₽5 519 |
| Qwen3-VL Plus | alibaba | ₽78.85/M | ₽788/M | ₽5 519 |
| Qwq 32b | qwen | ₽158/M | ₽473/M | ₽5 519 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽124/M | ₽622/M | ₽5 602 |
| gpt 4 claude3 haiku 20240307 | gpt 4 claude3 haiku 20240307 | ₽124/M | ₽622/M | ₽5 602 |
| gpt 4 claude3.5 haiku 20241022 | gpt 4 claude3.5 haiku 20241022 | ₽124/M | ₽622/M | ₽5 602 |
| Qwen-VL OCR | alibaba | ₽225/M | ₽225/M | ₽5 632 |
| Doubao 1.5 Pro 256K 250115 | doubao 1 5 pro 256k 250115 | ₽197/M | ₽355/M | ₽5 716 |
| hunyuan turbo | hunyuan turbo | ₽168/M | ₽560/M | ₽6 158 |
| gpt 5.6 luna | openai | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna high | gpt 5.6 luna high | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna high openai compact | gpt 5.6 luna high openai compact | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna low | gpt 5.6 luna low | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna low openai compact | gpt 5.6 luna low openai compact | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna max | gpt 5.6 luna max | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna max openai compact | gpt 5.6 luna max openai compact | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna medium | gpt 5.6 luna medium | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna medium openai compact | gpt 5.6 luna medium openai compact | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna openai compact | gpt 5.6 luna openai compact | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna ultra | gpt 5.6 luna ultra | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna ultra openai compact | gpt 5.6 luna ultra openai compact | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna xhigh | gpt 5.6 luna xhigh | ₽124/M | ₽747/M | ₽6 225 |
| gpt 5.6 luna xhigh openai compact | gpt 5.6 luna xhigh openai compact | ₽124/M | ₽747/M | ₽6 225 |
| GPT-4o Mini Transcribe | openai | ₽156/M | ₽622/M | ₽6 225 |
| grok 3 image | grok 3 image | ₽249/M | ₽249/M | ₽6 225 |
| Llama 3.3 70B | llama 3.3 70b | ₽249/M | ₽249/M | ₽6 225 |
| Text Curie 001 | text curie 001 | ₽249/M | ₽249/M | ₽6 225 |
| Gemini | gemini exp 1114 | ₽157/M | ₽627/M | ₽6 275 |
| Gemini | gemini exp 1121 | ₽157/M | ₽627/M | ₽6 275 |
| gemini 2.5 flash image | ₽157/M | ₽627/M | ₽6 275 | |
| DeepSeek Chat (V3) | deepseek chat | ₽158/M | ₽631/M | ₽6 308 |
| glm 4.5 | z ai | ₽158/M | ₽631/M | ₽6 308 |
| minimax m2 | minimax | ₽158/M | ₽631/M | ₽6 308 |
| minimax m2.1 | minimax | ₽166/M | ₽662/M | ₽6 623 |
| Qwen Flash | alibaba | ₽94.62/M | ₽946/M | ₽6 623 |
| qwen coder plus | qwen coder plus | ₽225/M | ₽451/M | ₽6 759 |
| Moonshot V1 8K | moonshot v1 8k | ₽158/M | ₽788/M | ₽7 096 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽158/M | ₽788/M | ₽7 096 |
| step 1o turbo vision | step 1o turbo vision | ₽197/M | ₽631/M | ₽7 096 |
| step r1 v mini | step r1 v mini | ₽197/M | ₽631/M | ₽7 096 |
| Codex Mini | codex mini | ₽187/M | ₽747/M | ₽7 470 |
| ocoolai deepresearch v1pro | ocoolai deepresearch v1pro | ₽249/M | ₽498/M | ₽7 470 |
| Qwen Max | qwen max | ₽189/M | ₽757/M | ₽7 569 |
| Sora 2 Pro | sora 2 pro | ₽314/M | ₽314/M | ₽7 843 |
| qwen math plus | qwen math plus | ₽225/M | ₽676/M | ₽7 885 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽237/M | ₽710/M | ₽8 279 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽237/M | ₽710/M | ₽8 279 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽237/M | ₽710/M | ₽8 279 |
| qwen1.5 32b chat | qwen1.5 32b chat | ₽276/M | ₽552/M | ₽8 279 |
| Qwen2 57B A14B Instruct | Qwen | ₽276/M | ₽552/M | ₽8 279 |
| gpt 4o lite | gpt 4o lite | ₽249/M | ₽747/M | ₽8 715 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt 5 chat | openai | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt 5 codex | openai | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt 5 codex mini | gpt 5 codex mini | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt 5.1 | openai | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt 5.1 chat | openai | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt 5.1 codex | openai | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt 5.1 codex max | openai | ₽156/M | ₽1 245/M | ₽9 337 |
| gpt audio | openai | ₽311/M | ₽622/M | ₽9 337 |
| GPT-5 | gpt 5 | ₽156/M | ₽1 245/M | ₽9 337 |
| abab6.5g chat | abab6.5g chat | ₽394/M | ₽394/M | ₽9 856 |
| abab6.5t chat | abab6.5t chat | ₽394/M | ₽394/M | ₽9 856 |
| glm z1 airx | glm z1 airx | ₽394/M | ₽394/M | ₽9 856 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽166/M | ₽1 325/M | ₽9 935 |
| gpt 3.5 turbo 16k | openai | ₽373/M | ₽498/M | ₽9 960 |
| Azure · DeepSeek-R1 | Azure | ₽249/M | ₽996/M | ₽9 960 |
| gemini 2.0 flash thinking exp 1219 | gemini 2.0 flash thinking exp 1219 | ₽249/M | ₽996/M | ₽9 960 |
| gpt 4.1 | openai | ₽249/M | ₽996/M | ₽9 960 |
| gpt image 1 mini | openai | ₽249/M | ₽996/M | ₽9 960 |
| O3 | o3 | ₽249/M | ₽996/M | ₽9 960 |
| deepseek v3.1 | deepseek v3.1 | ₽315/M | ₽946/M | ₽11 039 |
| deepseek v3.1 terminus | deepseek | ₽315/M | ₽946/M | ₽11 039 |
| glm 4.6 | z ai | ₽276/M | ₽1 104/M | ₽11 039 |
| glm 4.6v | z ai | ₽276/M | ₽1 104/M | ₽11 039 |
| qwen 2.5 72b instruct | qwen | ₽315/M | ₽946/M | ₽11 039 |
| Qwen2 72B Instruct | Qwen | ₽315/M | ₽946/M | ₽11 039 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽315/M | ₽946/M | ₽11 039 |
| qwen3 235b a22b | qwen | ₽158/M | ₽1 577/M | ₽11 039 |
| qwen3 32b | qwen | ₽158/M | ₽1 577/M | ₽11 039 |
| Grok 2 1212 | grok 2 1212 | ₽249/M | ₽1 245/M | ₽11 205 |
| Grok 2 Vision 1212 | grok 2 vision 1212 | ₽249/M | ₽1 245/M | ₽11 205 |
| kimi latest | kimi latest | ₽249/M | ₽1 245/M | ₽11 205 |
| step 1 32k | step 1 32k | ₽269/M | ₽1 254/M | ₽11 644 |
| step 1v 32k | step 1v 32k | ₽269/M | ₽1 254/M | ₽11 644 |
| yi vision v2 | yi vision v2 | ₽473/M | ₽473/M | ₽11 827 |
| qwen1.5 72b chat | qwen1.5 72b chat | ₽394/M | ₽788/M | ₽11 827 |
| gemini 2.0 pro exp | gemini 2.0 pro exp | ₽311/M | ₽1 245/M | ₽12 450 |
| Gemini 3 Pro | gemini 3 pro | ₽249/M | ₽1 494/M | ₽12 450 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽249/M | ₽1 494/M | ₽12 450 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽311/M | ₽1 245/M | ₽12 450 |
| GPT-4o | gpt 4o | ₽311/M | ₽1 245/M | ₽12 450 |
| GPT-4o Transcribe | openai | ₽311/M | ₽1 245/M | ₽12 450 |
| llama 4 | meta llama | ₽311/M | ₽1 245/M | ₽12 450 |
| Llama 4 Scout | llama 4 scout | ₽311/M | ₽1 245/M | ₽12 450 |
| gpt 4o mini realtime preview | gpt 4o mini realtime preview | ₽314/M | ₽1 255/M | ₽12 549 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽315/M | ₽1 262/M | ₽12 616 |
| doubao 1 5 thinking pro 250415 | doubao 1 5 thinking pro 250415 | ₽315/M | ₽1 262/M | ₽12 616 |
| GLM 4.5 Airx | glm 4.5 airx | ₽315/M | ₽1 262/M | ₽12 616 |
| glm 4.7 | z ai | ₽315/M | ₽1 262/M | ₽12 616 |
| Kimi K2 | kimi k2 | ₽315/M | ₽1 262/M | ₽12 616 |
| ocoolAI · DeepSeek-R1 | ocoolAI | ₽324/M | ₽1 295/M | ₽12 948 |
| gpt 3.5o | gpt 3.5o | ₽373/M | ₽1 120/M | ₽13 072 |
| gpt 5.2 | openai | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.2 chat | openai | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.2 codex | openai | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.3 chat | openai | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.3 codex | openai | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.3 codex low | gpt 5.3 codex low | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.3 codex openai compact | gpt 5.3 codex openai compact | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.3 codex spark | gpt 5.3 codex spark | ₽218/M | ₽1 743/M | ₽13 072 |
| gpt 5.3 codex xhigh | gpt 5.3 codex xhigh | ₽218/M | ₽1 743/M | ₽13 072 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽189/M | ₽1 892/M | ₽13 246 |
| minimax m1 | minimax | ₽189/M | ₽1 892/M | ₽13 246 |
| GLM-4 Plus | glm 4 plus | ₽560/M | ₽560/M | ₽13 995 |
| Kimi K2.5 | kimi k2.5 | ₽315/M | ₽1 656/M | ₽14 587 |
| gpt 5.4 | openai | ₽311/M | ₽1 867/M | ₽15 562 |
| GPT 5.4 High | gpt 5.4 high | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.4 openai compact | gpt 5.4 openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra | openai | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra high | gpt 5.6 terra high | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra high openai compact | gpt 5.6 terra high openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra low | gpt 5.6 terra low | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra low openai compact | gpt 5.6 terra low openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra max | gpt 5.6 terra max | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra max openai compact | gpt 5.6 terra max openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra medium | gpt 5.6 terra medium | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra medium openai compact | gpt 5.6 terra medium openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra openai compact | gpt 5.6 terra openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra ultra | gpt 5.6 terra ultra | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra ultra openai compact | gpt 5.6 terra ultra openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra xhigh | gpt 5.6 terra xhigh | ₽311/M | ₽1 867/M | ₽15 562 |
| gpt 5.6 terra xhigh openai compact | gpt 5.6 terra xhigh openai compact | ₽311/M | ₽1 867/M | ₽15 562 |
| Grok Vision Beta | grok vision beta | ₽622/M | ₽622/M | ₽15 562 |
| Moonshot V1 32K | moonshot v1 32k | ₽394/M | ₽1 577/M | ₽15 770 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽394/M | ₽1 577/M | ₽15 770 |
| qwen1.5 110b chat | qwen1.5 110b chat | ₽552/M | ₽1 104/M | ₽16 558 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽373/M | ₽1 867/M | ₽16 807 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽373/M | ₽1 867/M | ₽16 807 |
| gpt 4 claude3 sonnet 20240229 | gpt 4 claude3 sonnet 20240229 | ₽373/M | ₽1 867/M | ₽16 807 |
| gpt 4 claude3.5 sonnet 20240620 | gpt 4 claude3.5 sonnet 20240620 | ₽373/M | ₽1 867/M | ₽16 807 |
| gpt 4 claude3.5 sonnet 20241022 | gpt 4 claude3.5 sonnet 20241022 | ₽373/M | ₽1 867/M | ₽16 807 |
| gpt 4 claude3.7 sonnet 20250219 | gpt 4 claude3.7 sonnet 20250219 | ₽373/M | ₽1 867/M | ₽16 807 |
| grok 3 deepersearch | grok 3 deepersearch | ₽373/M | ₽1 867/M | ₽16 807 |
| grok 3 reasoning | grok 3 reasoning | ₽373/M | ₽1 867/M | ₽16 807 |
| Grok 4 | grok 4 | ₽373/M | ₽1 867/M | ₽16 807 |
| qwen3 coder flash | qwen | ₽394/M | ₽1 971/M | ₽17 741 |
| GLM-5 | glm 5 | ₽473/M | ₽1 892/M | ₽18 923 |
| deepseek ai · DeepSeek-R1 | deepseek ai | ₽498/M | ₽1 992/M | ₽19 919 |
| gpt realtime | gpt realtime | ₽498/M | ₽1 992/M | ₽19 919 |
| grok beta | grok beta | ₽622/M | ₽1 867/M | ₽21 787 |
| hunyuan turbo vision | hunyuan turbo vision | ₽896/M | ₽896/M | ₽22 393 |
| Meta Llama 3.1 405B Instruct | Meta Llama 3.1 405B Instruct | ₽896/M | ₽896/M | ₽22 409 |
| Qwen-MT Plus | alibaba | ₽710/M | ₽2 129/M | ₽24 837 |
| gpt 4o realtime preview | gpt 4o realtime preview | ₽622/M | ₽2 490/M | ₽24 899 |
| GLM 4.5 X | glm 4.5 x | ₽631/M | ₽2 523/M | ₽25 231 |
| Davinci | davinci | ₽1 046/M | ₽1 046/M | ₽26 144 |
| gemini 3.1 flash image | ₽1 046/M | ₽1 046/M | ₽26 144 | |
| Moonshot V1 128K | moonshot v1 128k | ₽788/M | ₽2 365/M | ₽27 597 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽788/M | ₽2 365/M | ₽27 597 |
| SparkDesk Pro | SparkDesk Pro | ₽1 104/M | ₽1 104/M | ₽27 597 |
| GLM 4 Vision | glm 4v | ₽1 120/M | ₽1 120/M | ₽27 991 |
| Claude Opus 4.5 | claude opus 4 5 | ₽622/M | ₽3 112/M | ₽28 012 |
| Claude Opus 4.6 | claude opus 4 6 | ₽622/M | ₽3 112/M | ₽28 012 |
| Claude Opus 4.7 | claude opus 4 7 | ₽622/M | ₽3 112/M | ₽28 012 |
| claude opus 4.8 | anthropic | ₽622/M | ₽3 112/M | ₽28 012 |
| KAT Dev 72B Exp | KAT Dev 72B Exp | ₽749/M | ₽2 996/M | ₽29 962 |
| gpt 5.5 | openai | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.5 openai compact | gpt 5.5 openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol | openai | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol high | gpt 5.6 sol high | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol high openai compact | gpt 5.6 sol high openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol low | gpt 5.6 sol low | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol low openai compact | gpt 5.6 sol low openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol max | gpt 5.6 sol max | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol max openai compact | gpt 5.6 sol max openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol medium | gpt 5.6 sol medium | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol medium openai compact | gpt 5.6 sol medium openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol openai compact | gpt 5.6 sol openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol ultra | gpt 5.6 sol ultra | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol ultra openai compact | gpt 5.6 sol ultra openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol xhigh | gpt 5.6 sol xhigh | ₽622/M | ₽3 735/M | ₽31 124 |
| gpt 5.6 sol xhigh openai compact | gpt 5.6 sol xhigh openai compact | ₽622/M | ₽3 735/M | ₽31 124 |
| KAT Coder | KAT Coder | ₽788/M | ₽3 154/M | ₽31 539 |
| Qwen3 Max | qwen3 max | ₽788/M | ₽3 154/M | ₽31 539 |
| gpt image 1.5 | openai | ₽622/M | ₽3 984/M | ₽32 369 |
| Qvq 72B Preview | Qwen | ₽946/M | ₽2 839/M | ₽33 116 |
| kimi k2 thinking turbo | kimi k2 thinking turbo | ₽631/M | ₽4 573/M | ₽35 482 |
| gpt image 1 | openai | ₽622/M | ₽4 980/M | ₽37 349 |
| gpt 5 search api | gpt 5 search api | ₽654/M | ₽5 229/M | ₽39 216 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽1 245/M | ₽3 735/M | ₽43 574 |
| gpt 4 turbo | openai | ₽1 245/M | ₽3 735/M | ₽43 574 |
| gpt 4 vision | gpt 4 vision | ₽1 245/M | ₽3 735/M | ₽43 574 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽1 262/M | ₽3 785/M | ₽44 155 |
| qwen2.5 vl 72b instruct | qwen | ₽1 262/M | ₽3 785/M | ₽44 155 |
| tts 1 | openai | ₽1 867/M | ₽1 867/M | ₽46 686 |
| Tts 1 1106 | tts 1 1106 | ₽1 867/M | ₽1 867/M | ₽46 686 |
| ERNIE 4.0 8K | ERNIE 4.0 8K | ₽1 344/M | ₽4 031/M | ₽47 025 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽1 262/M | ₽5 046/M | ₽50 463 |
| SparkDesk Pro 128K | SparkDesk Pro 128K | ₽2 050/M | ₽2 050/M | ₽51 251 |
| step 1o vision 32k | step 1o vision 32k | ₽1 183/M | ₽5 519/M | ₽51 251 |
| ERNIE 4.0 Turbo 128K | ERNIE 4.0 Turbo 128K | ₽1 577/M | ₽4 731/M | ₽55 193 |
| ERNIE 4.0 Turbo 8K | ERNIE 4.0 Turbo 8K | ₽1 577/M | ₽4 731/M | ₽55 193 |
| claude fable 5 | anthropic | ₽1 245/M | ₽6 225/M | ₽56 023 |
| GLM 4 | glm 4 | ₽2 365/M | ₽2 365/M | ₽59 136 |
| Text Davinci 002 | text davinci 002 | ₽2 490/M | ₽2 490/M | ₽62 248 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽2 490/M | ₽2 490/M | ₽62 248 |
| Claude Sonnet 4 | claude sonnet 4 | ₽1 569/M | ₽7 843/M | ₽70 590 |
| Sonnet 3 | claude 3 sonnet 20240229 | ₽1 569/M | ₽7 843/M | ₽70 590 |
| whisper 1 | openai | ₽3 735/M | ₽3 735/M | ₽74 698 |
| gpt 4 claude3 opus 20240229 | gpt 4 claude3 opus 20240229 | ₽1 867/M | ₽9 337/M | ₽84 035 |
| hunyuan pro | hunyuan pro | ₽2 365/M | ₽7 885/M | ₽86 733 |
| tts 1 hd | openai | ₽3 735/M | ₽3 735/M | ₽93 372 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽3 735/M | ₽3 735/M | ₽93 372 |
| o3 pro | openai | ₽2 490/M | ₽9 960/M | ₽99 597 |
| ERNIE Novel 8K | ERNIE Novel 8K | ₽3 154/M | ₽9 462/M | ₽110 387 |
| qwen3 coder plus | qwen | ₽1 577/M | ₽15 770/M | ₽110 387 |
| gpt 4 gizmo * | gpt 4 gizmo * | ₽3 735/M | ₽7 470/M | ₽112 047 |
| gpt 5 pro | openai | ₽1 867/M | ₽14 940/M | ₽112 047 |
| SparkDesk Max | SparkDesk Max | ₽4 731/M | ₽4 731/M | ₽118 272 |
| DALL E 3 | DALL E 3 | ₽4 980/M | ₽4 980/M | ₽124 497 |
| doubao seed 2 0 mini 260215 | doubao seed 2 0 mini 260215 | ₽5 914/M | ₽5 914/M | ₽147 840 |
| Doubao Seed 2.0 Code Preview | bytedance | ₽5 914/M | ₽5 914/M | ₽147 840 |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | ₽5 914/M | ₽5 914/M | ₽147 840 |
| Doubao Seed 2.0 Pro | bytedance | ₽5 914/M | ₽5 914/M | ₽147 840 |
| glm 4.6v flash | glm 4.6v flash | ₽5 914/M | ₽5 914/M | ₽147 840 |
| KAT Coder Air V1 | KAT Coder Air V1 | ₽5 914/M | ₽5 914/M | ₽147 840 |
| KAT Coder Exp 72B 1010 | KAT Coder Exp 72B 1010 | ₽5 914/M | ₽5 914/M | ₽147 840 |
| KAT Coder Pro V1 | KAT Coder Pro V1 | ₽5 914/M | ₽5 914/M | ₽147 840 |
| minimax m2.5 | minimax | ₽5 914/M | ₽5 914/M | ₽147 840 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽5 914/M | ₽5 914/M | ₽147 840 |
| SparkDesk Max 32k | SparkDesk Max 32k | ₽7 096/M | ₽7 096/M | ₽177 408 |
| step tts mini | step tts mini | ₽7 096/M | ₽7 096/M | ₽177 408 |
| gpt 5.4 pro | openai | ₽3 735/M | ₽22 409/M | ₽186 745 |
| sambert v1 | sambert v1 | ₽7 885/M | ₽7 885/M | ₽197 120 |
| SenseVoiceSmall | SenseVoiceSmall | ₽7 885/M | ₽7 885/M | ₽197 120 |
| GPT 4 32K | gpt 4 32k | ₽7 470/M | ₽14 940/M | ₽224 094 |
| chirp v3 0 | chirp v3 0 | ₽9 337/M | ₽9 337/M | ₽233 431 |
| chirp v3 5 | chirp v3 5 | ₽9 337/M | ₽9 337/M | ₽233 431 |
| codex auto review | codex auto review | ₽9 337/M | ₽9 337/M | ₽233 431 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽9 337/M | ₽9 337/M | ₽233 431 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽9 337/M | ₽9 337/M | ₽233 431 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽9 337/M | ₽9 337/M | ₽233 431 |
| grok 4.5 | x ai | ₽9 337/M | ₽9 337/M | ₽233 431 |
| pika text to video | pika text to video | ₽9 337/M | ₽9 337/M | ₽233 431 |
| Dall E 2 | dall e 2 | ₽10 458/M | ₽10 458/M | ₽261 443 |
| SparkDesk 4.0 Ultra | SparkDesk 4.0 Ultra | ₽11 039/M | ₽11 039/M | ₽275 967 |
| gpt 4.5 preview | gpt 4.5 preview | ₽9 337/M | ₽18 674/M | ₽280 117 |
| Claude 3 Opus | claude 3 opus | ₽7 843/M | ₽39 216/M | ₽352 948 |
| Claude Opus 4 | claude opus 4 | ₽7 843/M | ₽39 216/M | ₽352 948 |
| gpt realtime mini | gpt realtime mini | ₽9 337/M | ₽37 349/M | ₽373 490 |
| z image | z image | ₽15 687/M | ₽15 687/M | ₽392 164 |
| speech 01 turbo | speech 01 turbo | ₽15 770/M | ₽15 770/M | ₽394 239 |
| speech 02 turbo | speech 02 turbo | ₽15 770/M | ₽15 770/M | ₽394 239 |
| gpt 5.2 pro | openai | ₽10 981/M | ₽87 845/M | ₽658 836 |
| paraformer realtime v2 | paraformer realtime v2 | ₽27 597/M | ₽27 597/M | ₽689 918 |
| speech 01 hd | speech 01 hd | ₽27 597/M | ₽27 597/M | ₽689 918 |
| speech 02 hd | speech 02 hd | ₽27 597/M | ₽27 597/M | ₽689 918 |
| Flux Kontext Max | flux kontext max | ₽39 216/M | ₽39 216/M | ₽980 410 |
| flux kontext pro | flux kontext pro | ₽39 216/M | ₽39 216/M | ₽980 410 |
| Doubao tts | Doubao tts | ₽39 424/M | ₽39 424/M | ₽985 598 |
| parse pdf | parse pdf | ₽1 576 956/M | ₽1 576 956/M | ₽39 423 908 |
Изображения
за изображение · 3
▼
Изображения
за изображение · 3
| Модель | Maker | Цена |
|---|---|---|
| Flux | flux | ₽1.24/изобр. |
| gpt 4o image | gpt 4o image | ₽6.22/изобр. |
| gpt image 2 | gpt image 2 | ₽24.90/изобр. |
За запрос
фиксированная цена за вызов · 31
▼
За запрос
фиксированная цена за вызов · 31
| Модель | Maker | Цена |
|---|---|---|
| stable diffusion | stable diffusion | ₽0.12/вызов |
| Chatglm_pro | chatglm_pro | ₽0.82/вызов |
| Concise | concise | ₽0.82/вызов |
| concise scholar | concise scholar | ₽0.82/вызов |
| Detail | detail | ₽0.82/вызов |
| detail scholar | detail scholar | ₽0.82/вызов |
| Hailuo | hailuo | ₽0.82/вызов |
| Research | research | ₽0.82/вызов |
| research scholar | research scholar | ₽0.82/вызов |
| Grok 3 | grok 3 | ₽1.24/вызов |
| DeepSeek R1 | deepseek r1 | ₽2.60/вызов |
| O3 Mini | o3 mini | ₽3.73/вызов |
| DeepSeek V3 | deepseek search | ₽4.11/вызов |
| jimeng 3.0 | jimeng 3.0 | ₽6.22/вызов |
| gpt 4 claude3.5 sonnet all | gpt 4 claude3.5 sonnet all | ₽8.09/вызов |
| Sonnet 3.5 | claude 3 5 sonnet 20240620 | ₽8.09/вызов |
| gpt 4 grok 3 all | gpt 4 grok 3 all | ₽8.22/вызов |
| grok 3 deepsearch | grok 3 deepsearch | ₽8.22/вызов |
| grok 3 reasoner | grok 3 reasoner | ₽8.22/вызов |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽12.45/вызов |
| gpt 4 | openai | ₽12.45/вызов |
| luma video | luma video | ₽12.45/вызов |
| mj chat | mj chat | ₽12.45/вызов |
| url analysis | url analysis | ₽12.45/вызов |
| Midjourney | midjourney | ₽13.69/вызов |
| Suno | suno | ₽14.94/вызов |
| o3 mini high | openai | ₽19.92/вызов |
| O1 | o1 | ₽37.35/вызов |
| o1 pro | openai | ₽74.70/вызов |
| veo 3.0 fast generate 001 | veo 3.0 fast generate 001 | ₽627/вызов |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽1 673/вызов |
Без публичной цены
нет данных в открытых источниках · 1
▼
Без публичной цены
нет данных в открытых источниках · 1
| Модель | Maker | Примечание |
|---|---|---|
| GLM 4V Flash | GLM 4V Flash | — |
Как мы считаем цены
Провайдер на движке OneAPI/New API: в каталоге цены задаются коэффициентами model_ratio и completion_ratio, а не прямой строкой «$X за 1M токенов». Мы пересчитываем ratio в USD по формуле OneAPI: input ≈ model_ratio × $2 × group_ratio за 1M токенов, output умножается на completion_ratio. Часть моделей billed за вызов (изображение, видео, search) — фикс USD за запрос. Итог зависит от group_ratio — группы маршрута/upstream у API-ключа. oCoolAI — New API, list-формат pricing (data[] + group_ratio).
О провайдере
О сервисе
oCoolAI — выбор для broad coverage моделей через New API. Сравнивайте пересчитанные $/1M с o3.fan и DMX — одинаковое имя ≠ цена.
Частые вопросы
- oCoolAI — оплата в USD или CNY?
- UI сайта часто в CNY; публичный /api/pricing — OneAPI list с ratio (как o3.fan). На AI-APISHKA цены пересчитаны в ₽.
- oCoolAI — самый большой каталог OneAPI?
- В AI-APISHKA oCoolAI — один из крупных каталогов, наряду с o3.fan. Точное число моделей — в таблице выше.
- Как получить pricing oCoolAI?
- GET https://one.ocoolai.com/api/pricing — публичный JSON, list format (data[] + group_ratio).
- oCoolAI совместим с OpenAI SDK?
- Да — OpenAI-compatible endpoint, меняете base URL и ключ.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
oCoolAI предлагает 474 моделей AI API. Средняя цена — ₽4 817/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.06/M (step 1 8k).
Сравните цены на stable diffusion , Chatglm_pro , Concise , concise scholar и Detail у других провайдеров или в каталоге агрегаторов . Данные обновлены 13.08.2026.