oCoolAI
Сайт ↗Китайский New API-агрегатор с расчётом в CNY (юани)
- Моделей
- 440
- Средняя цена
- ₽4 647/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 = 83.2454 ₽ · 1 CNY = 12.4028 ₽ · 02.10.2026
440 моделей
Текст и чат
оплата за токены · 381
▼
Текст и чат
оплата за токены · 381
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Qwen Text Embedding v3 | Qwen | ₽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 | ₽1.35/M | ₽15 |
| step 1 256k | step 1 256k | ₽1.07/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 | ₽2.50/M | ₽2.50/M | ₽62 |
| glm 4.5 flash | glm 4.5 flash | ₽1.58/M | ₽6.33/M | ₽63 |
| Embedding 2 | embedding 2 | ₽5.61/M | ₽5.61/M | ₽140 |
| Embedding 3 | embedding 3 | ₽5.61/M | ₽5.61/M | ₽140 |
| glm 4 air | glm 4 air | ₽5.61/M | ₽5.61/M | ₽140 |
| gpt 4o mini tts | OpenAI | ₽3.75/M | ₽14.98/M | ₽150 |
| hunyuan embedding | hunyuan embedding | ₽7.86/M | ₽7.86/M | ₽197 |
| glm z1 flash | glm z1 flash | ₽7.91/M | ₽7.91/M | ₽198 |
| hunyuan lite | hunyuan lite | ₽7.91/M | ₽7.91/M | ₽198 |
| Jina Embeddings V3 | jina embeddings v3 | ₽7.91/M | ₽7.91/M | ₽198 |
| charglm 4 | charglm 4 | ₽11.23/M | ₽11.23/M | ₽281 |
| GLM 4 Long | GLM 4 Long | ₽11.23/M | ₽11.23/M | ₽281 |
| hunyuan standard | hunyuan standard | ₽8.98/M | ₽22.46/M | ₽292 |
| jina clip v1 | jina clip v1 | ₽11.86/M | ₽11.86/M | ₽297 |
| jina colbert v1 en | jina colbert v1 en | ₽11.86/M | ₽11.86/M | ₽297 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽11.86/M | ₽11.86/M | ₽297 |
| jina embeddings v2 base de | jina embeddings v2 base de | ₽11.86/M | ₽11.86/M | ₽297 |
| jina embeddings v2 base en | jina embeddings v2 base en | ₽11.86/M | ₽11.86/M | ₽297 |
| jina embeddings v2 base es | jina embeddings v2 base es | ₽11.86/M | ₽11.86/M | ₽297 |
| jina embeddings v2 base zh | jina embeddings v2 base zh | ₽11.86/M | ₽11.86/M | ₽297 |
| jina reranker v1 base en | jina reranker v1 base en | ₽11.86/M | ₽11.86/M | ₽297 |
| jina reranker v1 tiny en | jina reranker v1 tiny en | ₽11.86/M | ₽11.86/M | ₽297 |
| jina reranker v1 turbo en | jina reranker v1 turbo en | ₽11.86/M | ₽11.86/M | ₽297 |
| Text Embedding ADA | text embedding ada | ₽12.49/M | ₽12.49/M | ₽312 |
| gemini 1.5 flash | ₽9.37/M | ₽37.46/M | ₽375 | |
| Gemini 2.0 Flash-Lite | ₽9.37/M | ₽37.46/M | ₽375 | |
| Gpt 6 Luna | OpenAI | ₽8.32/M | ₽41.62/M | ₽375 |
| GPT-5 Nano | OpenAI | ₽6.24/M | ₽49.95/M | ₽375 |
| text embedding 3 large | OpenAI | ₽16.23/M | ₽16.23/M | ₽406 |
| ERNIE Tiny 8K | ERNIE Tiny 8K | ₽17.73/M | ₽17.73/M | ₽443 |
| ERNIE Lite Pro 128K | ERNIE Lite Pro 128K | ₽15.82/M | ₽31.63/M | ₽474 |
| Gemini 2.0 Flash | ₽12.49/M | ₽49.95/M | ₽499 | |
| Gpt 4.1 Nano | OpenAI | ₽12.49/M | ₽49.95/M | ₽499 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽15.82/M | ₽39.54/M | ₽514 |
| Bge Large En | bge large en | ₽22.46/M | ₽22.46/M | ₽561 |
| Bge Large Zh | bge large zh | ₽22.46/M | ₽22.46/M | ₽561 |
| Tao 8K | tao 8k | ₽22.46/M | ₽22.46/M | ₽561 |
| Embedding V1 | embedding 001 | ₽22.60/M | ₽22.60/M | ₽565 |
| Omni Moderation | omni moderation latest | ₽24.97/M | ₽24.97/M | ₽624 |
| Sora 2 | Sora 2 | ₽24.97/M | ₽24.97/M | ₽624 |
| Text Moderation | text moderation latest | ₽24.97/M | ₽24.97/M | ₽624 |
| Text Moderation 007 | text moderation 007 | ₽24.97/M | ₽24.97/M | ₽624 |
| Text Moderation Stable | text moderation stable | ₽24.97/M | ₽24.97/M | ₽624 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽23.72/M | ₽47.45/M | ₽712 |
| ERNIE Character 8K | ERNIE Character 8K | ₽23.72/M | ₽47.45/M | ₽712 |
| ERNIE Character Fiction 8K | ERNIE Character Fiction 8K | ₽23.72/M | ₽47.45/M | ₽712 |
| ERNIE Speed Pro 128K | ERNIE Speed Pro 128K | ₽23.72/M | ₽47.45/M | ₽712 |
| GPT-4o Mini | OpenAI | ₽18.73/M | ₽74.92/M | ₽749 |
| Grok 3 Mini | xAI | ₽37.46/M | ₽6.26/M | ₽780 |
| Qwen Flash | Qwen | ₽12.49/M | ₽125/M | ₽874 |
| Bce Reranker Base | bce reranker base | ₽39.54/M | ₽39.54/M | ₽989 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽39.54/M | ₽39.54/M | ₽989 |
| GLM 4 Flash | glm 4 flash | ₽39.54/M | ₽39.54/M | ₽989 |
| glm z1 air | glm z1 air | ₽39.54/M | ₽39.54/M | ₽989 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽39.54/M | ₽39.54/M | ₽989 |
| qwen3-embedding-0.6b | Qwen | ₽39.54/M | ₽39.54/M | ₽989 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽31.63/M | ₽79.08/M | ₽1 028 |
| GLM 4 Vision Plus | glm 4v plus | ₽44.92/M | ₽44.92/M | ₽1 123 |
| Claude 3 Haiku | Anthropic | ₽24.97/M | ₽125/M | ₽1 124 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽39.54/M | ₽79.08/M | ₽1 186 |
| Text Ada 001 | text ada 001 | ₽49.95/M | ₽49.95/M | ₽1 249 |
| Qwen3 0.6b | qwen3 0.6b | ₽7.91/M | ₽237/M | ₽1 344 |
| hunyuan code | hunyuan code | ₽44.92/M | ₽89.84/M | ₽1 348 |
| hunyuan functioncall | hunyuan functioncall | ₽44.92/M | ₽89.84/M | ₽1 348 |
| hunyuan role | hunyuan role | ₽44.92/M | ₽89.84/M | ₽1 348 |
| doubao embedding large text 250515 | doubao embedding large text 250515 | ₽55.36/M | ₽55.36/M | ₽1 384 |
| doubao embedding vision 241215 | doubao embedding vision 241215 | ₽55.36/M | ₽55.36/M | ₽1 384 |
| doubao embedding vision 250328 | doubao embedding vision 250328 | ₽55.36/M | ₽55.36/M | ₽1 384 |
| doubao embedding vision 250615 | doubao embedding vision 250615 | ₽55.36/M | ₽55.36/M | ₽1 384 |
| gte rerank | gte rerank | ₽55.36/M | ₽55.36/M | ₽1 384 |
| abab5.5s chat | abab5.5s chat | ₽56.15/M | ₽56.15/M | ₽1 404 |
| GLM 3 Turbo | glm 3 turbo | ₽56.15/M | ₽56.15/M | ₽1 404 |
| doubao seed 1 6 lite 251015 | doubao seed 1 6 lite 251015 | ₽23.72/M | ₽190/M | ₽1 423 |
| Qwen3 1.7b | qwen3 1.7b | ₽15.82/M | ₽237/M | ₽1 503 |
| Text Babbage 001 | text babbage 001 | ₽62.43/M | ₽62.43/M | ₽1 561 |
| hunyuan large | hunyuan large | ₽44.92/M | ₽135/M | ₽1 572 |
| Qwen Long | Qwen | ₽39.54/M | ₽158/M | ₽1 582 |
| Doubao Seed 1.6 Flash | ByteDance | ₽23.72/M | ₽237/M | ₽1 661 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽23.72/M | ₽237/M | ₽1 661 |
| Qwen Turbo | Qwen | ₽23.72/M | ₽237/M | ₽1 661 |
| Qwen3 4B | qwen3 4b | ₽23.72/M | ₽237/M | ₽1 661 |
| ERNIE Speed 128K | ERNIE Speed 128K | ₽70.93/M | ₽70.93/M | ₽1 773 |
| ERNIE Speed 8K | ERNIE Speed 8K | ₽70.93/M | ₽70.93/M | ₽1 773 |
| GPT-5 Mini | OpenAI | ₽31.22/M | ₽250/M | ₽1 873 |
| ocoolai deepsearch v3 | ocoolai deepsearch v3 | ₽62.43/M | ₽125/M | ₽1 873 |
| Qwen-MT Turbo | Qwen | ₽55.36/M | ₽154/M | ₽1 878 |
| yi lightning | yi lightning | ₽78.29/M | ₽78.29/M | ₽1 957 |
| SparkDesk Lite | SparkDesk Lite | ₽79.08/M | ₽79.08/M | ₽1 977 |
| Gpt 4.1 Mini | OpenAI | ₽49.95/M | ₽200/M | ₽1 998 |
| ERNIE 3.5 128K | ERNIE 3.5 128K | ₽63.27/M | ₽158/M | ₽2 056 |
| ERNIE 3.5 8K | ERNIE 3.5 8K | ₽63.27/M | ₽158/M | ₽2 056 |
| hunyuan turbos latest | hunyuan turbos 20250226 | ₽63.27/M | ₽158/M | ₽2 056 |
| gemini 2.5 flash lite | ₽52.44/M | ₽210/M | ₽2 098 | |
| Qwen Plus | Qwen | ₽66.60/M | ₽166/M | ₽2 164 |
| gpt 3.5 turbo | OpenAI | ₽62.43/M | ₽187/M | ₽2 185 |
| claude 3 5 haiku latest | Anthropic | ₽49.95/M | ₽250/M | ₽2 248 |
| Gemini 2.5 Flash | ₽37.46/M | ₽312/M | ₽2 310 | |
| hunyuan large longcontext | hunyuan large longcontext | ₽67.38/M | ₽202/M | ₽2 358 |
| qwen1.5 7b chat | qwen1.5 7b chat | ₽79.08/M | ₽158/M | ₽2 372 |
| Qwen2 7B Instruct | Qwen | ₽79.08/M | ₽158/M | ₽2 372 |
| Qwen2.5 Coder 7B | Qwen | ₽79.08/M | ₽158/M | ₽2 372 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽79.08/M | ₽158/M | ₽2 372 |
| step 2 mini | step 2 mini | ₽79.08/M | ₽158/M | ₽2 372 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽63.27/M | ₽253/M | ₽2 531 |
| ERNIE 4.5 Turbo 32k | ERNIE 4.5 Turbo 32k | ₽63.27/M | ₽253/M | ₽2 531 |
| GLM 4.5 Air | Z.ai | ₽47.45/M | ₽316/M | ₽2 531 |
| Grok 4.1 Fast (reasoning) | xAI | ₽105/M | ₽105/M | ₽2 622 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽79.08/M | ₽237/M | ₽2 768 |
| Qwen3 8B | Qwen | ₽39.54/M | ₽395/M | ₽2 768 |
| abab6.5s chat | abab6.5s chat | ₽112/M | ₽112/M | ₽2 807 |
| glm 4 airx | glm 4 airx | ₽112/M | ₽112/M | ₽2 807 |
| Doubao 1.5 Pro 256K | Doubao 1.5 pro 256k | ₽98.85/M | ₽178/M | ₽2 867 |
| Ascend · DeepSeek-R1 | Ascend | ₽74.92/M | ₽300/M | ₽2 997 |
| gpt audio mini | OpenAI | ₽74.92/M | ₽300/M | ₽2 997 |
| net glm 3 turbo | net glm 3 turbo | ₽125/M | ₽125/M | ₽3 122 |
| net gpt 3.5 turbo | net gpt 3.5 turbo | ₽125/M | ₽125/M | ₽3 122 |
| net gpt 3.5 turbo 16k | net gpt 3.5 turbo 16k | ₽125/M | ₽125/M | ₽3 122 |
| net gpt 4 | net gpt 4 | ₽125/M | ₽125/M | ₽3 122 |
| net gpt 4 1106 preview | net gpt 4 1106 preview | ₽125/M | ₽125/M | ₽3 122 |
| net gpt 4 turbo | net gpt 4 turbo | ₽125/M | ₽125/M | ₽3 122 |
| ocoolai helper | ocoolai helper | ₽125/M | ₽125/M | ₽3 122 |
| hunyuan t1 | hunyuan t1 | ₽79.08/M | ₽316/M | ₽3 163 |
| qwen2.5 vl 3b instruct | qwen2.5 vl 3b instruct | ₽94.90/M | ₽285/M | ₽3 321 |
| Qwen3-VL Flash | alibaba | ₽47.45/M | ₽474/M | ₽3 321 |
| Qwen3 Coder Flash | Qwen | ₽83.25/M | ₽333/M | ₽3 330 |
| doubao 1 5 lite 32k 250115 | doubao 1 5 lite 32k 250115 | ₽119/M | ₽237/M | ₽3 559 |
| ocoolai deepresearch v2 | ocoolai deepresearch v2 | ₽125/M | ₽250/M | ₽3 746 |
| bge reranker v2 m3 | bge reranker v2 m3 | ₽158/M | ₽158/M | ₽3 954 |
| doubao seedream 4 0 250828 | doubao seedream 4 0 250828 | ₽158/M | ₽158/M | ₽3 954 |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽158/M | ₽158/M | ₽3 954 |
| Jina Reranker M0 | jina reranker m0 | ₽158/M | ₽158/M | ₽3 954 |
| jina reranker v2 base multilingual | jina reranker v2 base multilingual | ₽158/M | ₽158/M | ₽3 954 |
| Qwen-VL Max | Qwen | ₽127/M | ₽316/M | ₽4 112 |
| doubao 1.5 vision lite 250315 | doubao 1.5 vision lite 250315 | ₽119/M | ₽356/M | ₽4 152 |
| doubao 1.5 vision pro 250328 | doubao 1.5 vision pro 250328 | ₽119/M | ₽356/M | ₽4 152 |
| Qwen-VL Plus | Qwen | ₽119/M | ₽356/M | ₽4 152 |
| Qwen3 30B A3B | Qwen | ₽59.31/M | ₽593/M | ₽4 152 |
| Gpt 5.6 Luna | OpenAI | ₽83.25/M | ₽499/M | ₽4 162 |
| gpt oss 20b | OpenAI | ₽105/M | ₽420/M | ₽4 196 |
| abab5.5 chat | abab5.5 chat | ₽168/M | ₽168/M | ₽4 211 |
| deepseek reasoner v3.2 | DeepSeek | ₽158/M | ₽237/M | ₽4 350 |
| deepseek v3.2 | DeepSeek | ₽158/M | ₽237/M | ₽4 350 |
| DeepSeek V3.2 Speciale | DeepSeek | ₽158/M | ₽237/M | ₽4 350 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽63.27/M | ₽633/M | ₽4 429 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽63.27/M | ₽633/M | ₽4 429 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽63.27/M | ₽633/M | ₽4 429 |
| Doubao Seed 1.6 Vision 250815 | doubao seed 1 6 vision 250815 | ₽63.27/M | ₽633/M | ₽4 429 |
| Gemma 2 27B | ₽187/M | ₽187/M | ₽4 683 | |
| MiniMax Text 01 | MiniMax Text 01 | ₽79.08/M | ₽633/M | ₽4 745 |
| qwen1.5 14b chat | qwen1.5 14b chat | ₽158/M | ₽316/M | ₽4 745 |
| hunyuan vision | hunyuan vision | ₽202/M | ₽202/M | ₽5 053 |
| doubao seed code preview 251028 | doubao seed code preview 251028 | ₽94.90/M | ₽636/M | ₽5 077 |
| qwen2.5 vl 7b instruct | qwen2.5 vl 7b instruct | ₽158/M | ₽395/M | ₽5 140 |
| babbage 002 | babbage 002 | ₽210/M | ₽210/M | ₽5 244 |
| gpt oss 120b | OpenAI | ₽137/M | ₽549/M | ₽5 494 |
| o1 mini | OpenAI | ₽137/M | ₽549/M | ₽5 494 |
| o3 mini low | OpenAI | ₽137/M | ₽549/M | ₽5 494 |
| o3 mini medium | OpenAI | ₽137/M | ₽549/M | ₽5 494 |
| O4 Mini | OpenAI | ₽137/M | ₽549/M | ₽5 494 |
| gemini 1.5 pro | ₽157/M | ₽472/M | ₽5 507 | |
| qwen coder turbo | Qwen | ₽158/M | ₽474/M | ₽5 536 |
| qwen math turbo | Qwen | ₽158/M | ₽474/M | ₽5 536 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽158/M | ₽474/M | ₽5 536 |
| qwen2.5 coder 14b instruct | qwen2.5 coder 14b instruct | ₽158/M | ₽474/M | ₽5 536 |
| Qwen2.5 Coder 32B Instruct | Qwen | ₽158/M | ₽474/M | ₽5 536 |
| Qwen3 14B | Qwen | ₽79.08/M | ₽791/M | ₽5 536 |
| Qwq 32b | Qwen | ₽158/M | ₽474/M | ₽5 536 |
| Claude Haiku 4.5 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| gpt 4 claude3 haiku 20240307 | OpenAI | ₽125/M | ₽624/M | ₽5 619 |
| gpt 4 claude3.5 haiku 20241022 | OpenAI | ₽125/M | ₽624/M | ₽5 619 |
| Qwen-VL OCR | Qwen | ₽226/M | ₽226/M | ₽5 649 |
| Doubao 1.5 Pro 256K 250115 | doubao 1 5 pro 256k 250115 | ₽198/M | ₽356/M | ₽5 734 |
| Qwen3-VL Plus | alibaba | ₽83.25/M | ₽832/M | ₽5 827 |
| hunyuan turbo | hunyuan turbo | ₽168/M | ₽561/M | ₽6 176 |
| gemini 2.5 pro | ₽104/M | ₽832/M | ₽6 243 | |
| gpt 4o mini transcribe | OpenAI | ₽156/M | ₽624/M | ₽6 243 |
| grok 3 image | xAI | ₽250/M | ₽250/M | ₽6 243 |
| Llama 3.3 70B | Meta | ₽250/M | ₽250/M | ₽6 243 |
| Text Curie 001 | text curie 001 | ₽250/M | ₽250/M | ₽6 243 |
| Gemini | ₽157/M | ₽629/M | ₽6 293 | |
| Gemini | ₽157/M | ₽629/M | ₽6 293 | |
| gemini 2.5 flash image | ₽157/M | ₽629/M | ₽6 293 | |
| DeepSeek Chat (V3) | DeepSeek | ₽158/M | ₽633/M | ₽6 327 |
| GLM 4.5 | Z.ai | ₽158/M | ₽633/M | ₽6 327 |
| MiniMax M2 | MiniMax | ₽158/M | ₽633/M | ₽6 327 |
| GPT 3.5 Turbo 1106 | OpenAI | ₽187/M | ₽562/M | ₽6 556 |
| MiniMax M2.1 | MiniMax | ₽166/M | ₽664/M | ₽6 643 |
| qwen coder plus | Qwen | ₽226/M | ₽452/M | ₽6 779 |
| Moonshot V1 8K | moonshot v1 8k | ₽158/M | ₽791/M | ₽7 117 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽158/M | ₽791/M | ₽7 117 |
| step 1o turbo vision | step 1o turbo vision | ₽198/M | ₽633/M | ₽7 117 |
| step r1 v mini | step r1 v mini | ₽198/M | ₽633/M | ₽7 117 |
| codex mini | codex mini | ₽187/M | ₽749/M | ₽7 492 |
| Gpt 6 Sol | OpenAI | ₽166/M | ₽832/M | ₽7 492 |
| ocoolai deepresearch v1pro | ocoolai deepresearch v1pro | ₽250/M | ₽499/M | ₽7 492 |
| Qwen Max | Qwen | ₽190/M | ₽759/M | ₽7 592 |
| Sora 2 Pro | sora 2 pro | ₽315/M | ₽315/M | ₽7 867 |
| qwen math plus | Qwen | ₽226/M | ₽678/M | ₽7 908 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽237/M | ₽712/M | ₽8 304 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽237/M | ₽712/M | ₽8 304 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽237/M | ₽712/M | ₽8 304 |
| qwen1.5 32b chat | qwen1.5 32b chat | ₽277/M | ₽554/M | ₽8 304 |
| Qwen2 57B A14B Instruct | Qwen | ₽277/M | ₽554/M | ₽8 304 |
| Qwen3 Max | qwen3 max | ₽208/M | ₽832/M | ₽8 325 |
| gpt 4o lite | OpenAI | ₽250/M | ₽749/M | ₽8 741 |
| gpt 5 codex | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| gpt 5 codex mini | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| Gpt 5.1 | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| gpt image 1 mini | OpenAI | ₽312/M | ₽624/M | ₽9 365 |
| GPT-5 | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| GPT-5 Chat | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| GPT-5.1 Chat | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| GPT-5.1-Codex | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| GPT-5.1-Codex-Max | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| GPT-5.1-Codex-Mini | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| abab6.5g chat | abab6.5g chat | ₽395/M | ₽395/M | ₽9 885 |
| abab6.5t chat | abab6.5t chat | ₽395/M | ₽395/M | ₽9 885 |
| glm z1 airx | glm z1 airx | ₽395/M | ₽395/M | ₽9 885 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽166/M | ₽1 329/M | ₽9 964 |
| Azure · DeepSeek-R1 | Azure | ₽250/M | ₽999/M | ₽9 989 |
| gemini 2.0 flash thinking exp 1219 | ₽250/M | ₽999/M | ₽9 989 | |
| Gpt 4.1 | OpenAI | ₽250/M | ₽999/M | ₽9 989 |
| O3 | OpenAI | ₽250/M | ₽999/M | ₽9 989 |
| Gpt 5.4 | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| Gpt 5.4 Mini | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| Gpt 5.4 Nano | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| gpt 5.4 openai compact | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| Gpt 5.6 Terra | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| GPT-4o | OpenAI | ₽312/M | ₽937/M | ₽10 926 |
| deepseek v3.1 | DeepSeek | ₽316/M | ₽949/M | ₽11 072 |
| DeepSeek V3.1 Terminus | DeepSeek | ₽316/M | ₽949/M | ₽11 072 |
| GLM 4.6 | Z.ai | ₽277/M | ₽1 107/M | ₽11 072 |
| glm 4.6v | Z.ai | ₽277/M | ₽1 107/M | ₽11 072 |
| qwen 2.5 72b instruct | Qwen | ₽316/M | ₽949/M | ₽11 072 |
| Qwen2 72B Instruct | Qwen | ₽316/M | ₽949/M | ₽11 072 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽316/M | ₽949/M | ₽11 072 |
| qwen3 235b a22b | Qwen | ₽158/M | ₽1 582/M | ₽11 072 |
| Qwen3 32B | Qwen | ₽158/M | ₽1 582/M | ₽11 072 |
| Claude Sonnet 5 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| Claude Sonnet 5.5 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| GPT-3.5 Turbo 16k | OpenAI | ₽375/M | ₽749/M | ₽11 238 |
| Grok 2 1212 | xAI | ₽250/M | ₽1 249/M | ₽11 238 |
| Grok 2 Vision 1212 | xAI | ₽250/M | ₽1 249/M | ₽11 238 |
| kimi latest | kimi latest | ₽250/M | ₽1 249/M | ₽11 238 |
| step 1 32k | step 1 32k | ₽270/M | ₽1 258/M | ₽11 679 |
| step 1v 32k | step 1v 32k | ₽270/M | ₽1 258/M | ₽11 679 |
| yi vision v2 | yi vision v2 | ₽474/M | ₽474/M | ₽11 862 |
| qwen1.5 72b chat | qwen1.5 72b chat | ₽395/M | ₽791/M | ₽11 862 |
| gemini 2.0 pro exp | ₽312/M | ₽1 249/M | ₽12 487 | |
| GPT 4o Audio Preview | OpenAI | ₽312/M | ₽1 249/M | ₽12 487 |
| gpt 4o transcribe | OpenAI | ₽312/M | ₽1 249/M | ₽12 487 |
| gpt audio | OpenAI | ₽312/M | ₽1 249/M | ₽12 487 |
| llama 4 | Meta | ₽312/M | ₽1 249/M | ₽12 487 |
| Llama 4 Scout | Meta | ₽312/M | ₽1 249/M | ₽12 487 |
| gpt 4o mini realtime preview | OpenAI | ₽315/M | ₽1 259/M | ₽12 587 |
| DeepSeek Reasoner (R1) | DeepSeek | ₽316/M | ₽1 265/M | ₽12 653 |
| doubao 1 5 thinking pro 250415 | doubao 1 5 thinking pro 250415 | ₽316/M | ₽1 265/M | ₽12 653 |
| GLM 4.5 Airx | glm 4.5 airx | ₽316/M | ₽1 265/M | ₽12 653 |
| Glm 4.7 | glm 4.7 | ₽316/M | ₽1 265/M | ₽12 653 |
| Kimi K2 0711 | MoonshotAI | ₽316/M | ₽1 265/M | ₽12 653 |
| ocoolAI · DeepSeek-R1 | ocoolAI | ₽325/M | ₽1 299/M | ₽12 986 |
| gemini 3 flash | ₽262/M | ₽1 573/M | ₽13 111 | |
| gpt 3.5o | OpenAI | ₽375/M | ₽1 124/M | ₽13 111 |
| Gpt 5.2 | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| gpt 5.3 codex | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| gpt 5.3 codex low | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| gpt 5.3 codex openai compact | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| gpt 5.3 codex spark | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| gpt 5.3 codex xhigh | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| GPT-5.2 Chat | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| GPT-5.2-Codex | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| GPT-5.3 Chat | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽190/M | ₽1 898/M | ₽13 286 |
| MiniMax M1 | MiniMax | ₽190/M | ₽1 898/M | ₽13 286 |
| qwen3 coder plus | Qwen | ₽333/M | ₽1 332/M | ₽13 319 |
| GLM 4 Plus | glm 4 plus | ₽561/M | ₽561/M | ₽14 037 |
| Kimi K2.5 | MoonshotAI | ₽316/M | ₽1 661/M | ₽14 630 |
| gpt 5.6 | OpenAI | ₽333/M | ₽1 665/M | ₽14 984 |
| Grok Vision Beta | xAI | ₽624/M | ₽624/M | ₽15 609 |
| Moonshot V1 32K | moonshot v1 32k | ₽395/M | ₽1 582/M | ₽15 817 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽395/M | ₽1 582/M | ₽15 817 |
| qwen1.5 110b chat | qwen1.5 110b chat | ₽554/M | ₽1 107/M | ₽16 607 |
| Claude Sonnet 4 | Anthropic | ₽375/M | ₽1 873/M | ₽16 857 |
| Claude Sonnet 4.5 | Anthropic | ₽375/M | ₽1 873/M | ₽16 857 |
| Claude Sonnet 4.6 | Anthropic | ₽375/M | ₽1 873/M | ₽16 857 |
| gpt 4 claude3 sonnet 20240229 | OpenAI | ₽375/M | ₽1 873/M | ₽16 857 |
| gpt 4 claude3.5 sonnet 20240620 | OpenAI | ₽375/M | ₽1 873/M | ₽16 857 |
| gpt 4 claude3.5 sonnet 20241022 | OpenAI | ₽375/M | ₽1 873/M | ₽16 857 |
| gpt 4 claude3.7 sonnet 20250219 | OpenAI | ₽375/M | ₽1 873/M | ₽16 857 |
| grok 3 deepersearch | xAI | ₽375/M | ₽1 873/M | ₽16 857 |
| grok 3 reasoning | xAI | ₽375/M | ₽1 873/M | ₽16 857 |
| Grok 4 | xAI | ₽375/M | ₽1 873/M | ₽16 857 |
| GLM-5 | glm 5 | ₽474/M | ₽1 898/M | ₽18 980 |
| deepseek ai · DeepSeek-R1 | DeepSeek | ₽499/M | ₽1 998/M | ₽19 979 |
| gpt realtime | OpenAI | ₽499/M | ₽1 998/M | ₽19 979 |
| Gpt 5.5 | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt 5.5 openai compact | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| Gpt 5.6 Sol | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 2 | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| grok beta | xAI | ₽624/M | ₽1 873/M | ₽21 852 |
| hunyuan turbo vision | hunyuan turbo vision | ₽898/M | ₽898/M | ₽22 460 |
| Meta Llama 3.1 405B Instruct | Meta | ₽899/M | ₽899/M | ₽22 476 |
| Qwen-MT Plus | Qwen | ₽712/M | ₽2 135/M | ₽24 911 |
| GLM 4.5 X | glm 4.5 x | ₽633/M | ₽2 531/M | ₽25 307 |
| Davinci | davinci | ₽1 049/M | ₽1 049/M | ₽26 222 |
| Moonshot V1 128K | moonshot v1 128k | ₽791/M | ₽2 372/M | ₽27 679 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽791/M | ₽2 372/M | ₽27 679 |
| SparkDesk Pro | SparkDesk Pro | ₽1 107/M | ₽1 107/M | ₽27 679 |
| GLM 4 Vision | glm 4v | ₽1 123/M | ₽1 123/M | ₽28 075 |
| Claude Opus 4 8 | Anthropic | ₽624/M | ₽3 122/M | ₽28 095 |
| Claude Opus 4.5 | Anthropic | ₽624/M | ₽3 122/M | ₽28 095 |
| Claude Opus 4.6 | Anthropic | ₽624/M | ₽3 122/M | ₽28 095 |
| Claude Opus 4.7 | Anthropic | ₽624/M | ₽3 122/M | ₽28 095 |
| KAT Dev 72B Exp | KAT Dev 72B Exp | ₽751/M | ₽3 005/M | ₽30 052 |
| gpt image 2.5 | OpenAI | ₽624/M | ₽3 746/M | ₽31 217 |
| KAT Coder | KAT Coder | ₽791/M | ₽3 163/M | ₽31 633 |
| Qvq 72B Preview | Qwen | ₽949/M | ₽2 847/M | ₽33 215 |
| gpt 4o realtime preview | OpenAI | ₽874/M | ₽3 496/M | ₽34 963 |
| kimi k2 thinking turbo | kimi k2 thinking turbo | ₽633/M | ₽4 587/M | ₽35 587 |
| gpt image 1.5 | OpenAI | ₽699/M | ₽4 475/M | ₽36 362 |
| Gpt 6 Astra | OpenAI | ₽832/M | ₽4 162/M | ₽37 460 |
| gpt image 1 | OpenAI | ₽624/M | ₽4 995/M | ₽37 460 |
| Gpt 5 Search API | OpenAI | ₽656/M | ₽5 244/M | ₽39 333 |
| GPT 4 1106 Preview | OpenAI | ₽1 249/M | ₽3 746/M | ₽43 704 |
| gpt 4 turbo | OpenAI | ₽1 249/M | ₽3 746/M | ₽43 704 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽1 265/M | ₽3 796/M | ₽44 287 |
| Qwen2.5 VL 72B Instruct | Qwen | ₽1 265/M | ₽3 796/M | ₽44 287 |
| tts 1 | OpenAI | ₽1 873/M | ₽1 873/M | ₽46 826 |
| Tts 1 1106 | tts 1 1106 | ₽1 873/M | ₽1 873/M | ₽46 826 |
| ERNIE 4.0 8K | ERNIE 4.0 8K | ₽1 348/M | ₽4 043/M | ₽47 165 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽1 265/M | ₽5 061/M | ₽50 613 |
| SparkDesk Pro 128K | SparkDesk Pro 128K | ₽2 056/M | ₽2 056/M | ₽51 404 |
| step 1o vision 32k | step 1o vision 32k | ₽1 186/M | ₽5 536/M | ₽51 404 |
| gemini 3 pro | ₽1 049/M | ₽6 293/M | ₽52 445 | |
| ERNIE 4.0 Turbo 128K | ERNIE 4.0 Turbo 128K | ₽1 582/M | ₽4 745/M | ₽55 358 |
| ERNIE 4.0 Turbo 8K | ERNIE 4.0 Turbo 8K | ₽1 582/M | ₽4 745/M | ₽55 358 |
| claude fable 5 | Anthropic | ₽1 249/M | ₽6 243/M | ₽56 191 |
| Claude Fable 5 1 | Anthropic | ₽1 249/M | ₽6 243/M | ₽56 191 |
| GLM 4 | glm 4 | ₽2 372/M | ₽2 372/M | ₽59 312 |
| Text Davinci 002 | text davinci 002 | ₽2 497/M | ₽2 497/M | ₽62 434 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽2 497/M | ₽2 497/M | ₽62 434 |
| Sonnet 3 | Anthropic | ₽1 573/M | ₽7 867/M | ₽70 800 |
| whisper 1 | OpenAI | ₽3 746/M | ₽3 746/M | ₽74 921 |
| Claude Opus 4 | Anthropic | ₽1 873/M | ₽9 365/M | ₽84 286 |
| gpt 4 claude3 opus 20240229 | OpenAI | ₽1 873/M | ₽9 365/M | ₽84 286 |
| hunyuan pro | hunyuan pro | ₽2 372/M | ₽7 908/M | ₽86 991 |
| gpt 4 vision | OpenAI | ₽2 497/M | ₽7 492/M | ₽87 408 |
| tts 1 hd | OpenAI | ₽3 746/M | ₽3 746/M | ₽93 651 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽3 746/M | ₽3 746/M | ₽93 651 |
| o3 Pro | OpenAI | ₽2 497/M | ₽9 989/M | ₽99 894 |
| ERNIE Novel 8K | ERNIE Novel 8K | ₽3 163/M | ₽9 490/M | ₽110 716 |
| gpt 4 gizmo * | OpenAI | ₽3 746/M | ₽7 492/M | ₽112 381 |
| GPT-5 Pro | OpenAI | ₽1 873/M | ₽14 984/M | ₽112 381 |
| DALL E 3 | DALL E 3 | ₽4 995/M | ₽4 995/M | ₽124 868 |
| gpt 5.4 pro | OpenAI | ₽2 497/M | ₽14 984/M | ₽124 868 |
| SparkDesk Max 32k | SparkDesk Max 32k | ₽7 117/M | ₽7 117/M | ₽177 937 |
| step tts mini | step tts mini | ₽7 117/M | ₽7 117/M | ₽177 937 |
| sambert v1 | sambert v1 | ₽7 908/M | ₽7 908/M | ₽197 708 |
| SenseVoiceSmall | SenseVoiceSmall | ₽7 908/M | ₽7 908/M | ₽197 708 |
| gpt 4 32k | OpenAI | ₽7 492/M | ₽14 984/M | ₽224 763 |
| Dall E 2 | dall e 2 | ₽10 489/M | ₽10 489/M | ₽262 223 |
| SparkDesk 4.0 Ultra | SparkDesk 4.0 Ultra | ₽11 072/M | ₽11 072/M | ₽276 791 |
| gpt 4.5 preview | OpenAI | ₽9 365/M | ₽18 730/M | ₽280 953 |
| claude 3 opus latest | Anthropic | ₽7 867/M | ₽39 333/M | ₽354 001 |
| Z-Image | z image | ₽15 733/M | ₽15 733/M | ₽393 335 |
| speech 01 turbo | speech 01 turbo | ₽15 817/M | ₽15 817/M | ₽395 416 |
| speech 02 turbo | speech 02 turbo | ₽15 817/M | ₽15 817/M | ₽395 416 |
| GPT-5.2 Pro | OpenAI | ₽11 013/M | ₽88 107/M | ₽660 802 |
| paraformer realtime v2 | paraformer realtime v2 | ₽27 679/M | ₽27 679/M | ₽691 977 |
| speech 01 hd | speech 01 hd | ₽27 679/M | ₽27 679/M | ₽691 977 |
| speech 02 hd | speech 02 hd | ₽27 679/M | ₽27 679/M | ₽691 977 |
| Doubao tts | Doubao tts | ₽39 542/M | ₽39 542/M | ₽988 539 |
| parse pdf | parse pdf | ₽1 581 663/M | ₽1 581 663/M | ₽39 541 565 |
Изображения
за изображение · 3
▼
Изображения
за изображение · 3
| Модель | Maker | Цена |
|---|---|---|
| Flux | Black Forest Labs | ₽1.25/изобр. |
| gpt 4o image | OpenAI | ₽6.24/изобр. |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽157/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 | xAI | ₽1.25/вызов |
| deepseek r1 | DeepSeek | ₽2.61/вызов |
| O3 Mini | OpenAI | ₽3.75/вызов |
| DeepSeek V3 | DeepSeek | ₽4.12/вызов |
| jimeng 3.0 | jimeng 3.0 | ₽6.24/вызов |
| gpt 4 claude3.5 sonnet all | OpenAI | ₽8.12/вызов |
| Sonnet 3.5 | Anthropic | ₽8.12/вызов |
| gpt 4 grok 3 all | OpenAI | ₽8.24/вызов |
| grok 3 deepsearch | xAI | ₽8.24/вызов |
| grok 3 reasoner | xAI | ₽8.24/вызов |
| gpt 4 | OpenAI | ₽12.49/вызов |
| luma video | luma video | ₽12.49/вызов |
| mj chat | mj chat | ₽12.49/вызов |
| Sonnet 3.7 | Anthropic | ₽12.49/вызов |
| url analysis | url analysis | ₽12.49/вызов |
| Midjourney | midjourney | ₽13.74/вызов |
| Suno | suno | ₽14.98/вызов |
| o3 Mini High | OpenAI | ₽19.98/вызов |
| O1 | OpenAI | ₽37.46/вызов |
| o1-pro | OpenAI | ₽74.92/вызов |
| veo 3.0 fast generate 001 | veo 3.0 fast generate 001 | ₽629/вызов |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽1 678/вызов |
Без публичной цены
нет данных в открытых источниках · 24
▼
Без публичной цены
нет данных в открытых источниках · 24
| Модель | Maker | Примечание |
|---|---|---|
| chirp v3 0 | chirp v3 0 | — |
| chirp v3 5 | chirp v3 5 | — |
| Claude Opus 5 | Anthropic | — |
| Claude Opus 5 5 | Anthropic | — |
| codex auto review | codex auto review | — |
| doubao seed 2 0 mini 260215 | doubao seed 2 0 mini 260215 | — |
| Doubao Seed 2.0 Code Preview | ByteDance | — |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | — |
| Doubao Seed 2.0 Pro | ByteDance | — |
| Flux Kontext Max | Black Forest Labs | — |
| flux kontext pro | Black Forest Labs | — |
| glm 4.6v flash | glm 4.6v flash | — |
| GLM 4V Flash | GLM 4V Flash | — |
| GPT Realtime Mini | OpenAI | — |
| Grok 4 Fast | xAI | — |
| Grok 4 Fast (reasoning) | xAI | — |
| grok 4.5 | xAI | — |
| KAT Coder Air V1 | KAT Coder Air V1 | — |
| KAT Coder Exp 72B 1010 | KAT Coder Exp 72B 1010 | — |
| KAT Coder Pro V1 | KAT Coder Pro V1 | — |
| MiniMax M2.5 | MiniMax | — |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | — |
| pika text to video | pika text to video | — |
| SparkDesk Max | SparkDesk Max | — |
Текст и чат
оплата за токены · 381
▼
Текст и чат
оплата за токены · 381
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Qwen Text Embedding v3 | Qwen | ₽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 | ₽1.35/M | ₽15 |
| step 1 256k | step 1 256k | ₽1.07/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 | ₽2.50/M | ₽2.50/M | ₽62 |
| glm 4.5 flash | glm 4.5 flash | ₽1.58/M | ₽6.33/M | ₽63 |
| Embedding 2 | embedding 2 | ₽5.61/M | ₽5.61/M | ₽140 |
| Embedding 3 | embedding 3 | ₽5.61/M | ₽5.61/M | ₽140 |
| glm 4 air | glm 4 air | ₽5.61/M | ₽5.61/M | ₽140 |
| gpt 4o mini tts | OpenAI | ₽3.75/M | ₽14.98/M | ₽150 |
| hunyuan embedding | hunyuan embedding | ₽7.86/M | ₽7.86/M | ₽197 |
| glm z1 flash | glm z1 flash | ₽7.91/M | ₽7.91/M | ₽198 |
| hunyuan lite | hunyuan lite | ₽7.91/M | ₽7.91/M | ₽198 |
| Jina Embeddings V3 | jina embeddings v3 | ₽7.91/M | ₽7.91/M | ₽198 |
| charglm 4 | charglm 4 | ₽11.23/M | ₽11.23/M | ₽281 |
| GLM 4 Long | GLM 4 Long | ₽11.23/M | ₽11.23/M | ₽281 |
| hunyuan standard | hunyuan standard | ₽8.98/M | ₽22.46/M | ₽292 |
| jina clip v1 | jina clip v1 | ₽11.86/M | ₽11.86/M | ₽297 |
| jina colbert v1 en | jina colbert v1 en | ₽11.86/M | ₽11.86/M | ₽297 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽11.86/M | ₽11.86/M | ₽297 |
| jina embeddings v2 base de | jina embeddings v2 base de | ₽11.86/M | ₽11.86/M | ₽297 |
| jina embeddings v2 base en | jina embeddings v2 base en | ₽11.86/M | ₽11.86/M | ₽297 |
| jina embeddings v2 base es | jina embeddings v2 base es | ₽11.86/M | ₽11.86/M | ₽297 |
| jina embeddings v2 base zh | jina embeddings v2 base zh | ₽11.86/M | ₽11.86/M | ₽297 |
| jina reranker v1 base en | jina reranker v1 base en | ₽11.86/M | ₽11.86/M | ₽297 |
| jina reranker v1 tiny en | jina reranker v1 tiny en | ₽11.86/M | ₽11.86/M | ₽297 |
| jina reranker v1 turbo en | jina reranker v1 turbo en | ₽11.86/M | ₽11.86/M | ₽297 |
| Text Embedding ADA | text embedding ada | ₽12.49/M | ₽12.49/M | ₽312 |
| gemini 1.5 flash | ₽9.37/M | ₽37.46/M | ₽375 | |
| Gemini 2.0 Flash-Lite | ₽9.37/M | ₽37.46/M | ₽375 | |
| Gpt 6 Luna | OpenAI | ₽8.32/M | ₽41.62/M | ₽375 |
| GPT-5 Nano | OpenAI | ₽6.24/M | ₽49.95/M | ₽375 |
| text embedding 3 large | OpenAI | ₽16.23/M | ₽16.23/M | ₽406 |
| ERNIE Tiny 8K | ERNIE Tiny 8K | ₽17.73/M | ₽17.73/M | ₽443 |
| ERNIE Lite Pro 128K | ERNIE Lite Pro 128K | ₽15.82/M | ₽31.63/M | ₽474 |
| Gemini 2.0 Flash | ₽12.49/M | ₽49.95/M | ₽499 | |
| Gpt 4.1 Nano | OpenAI | ₽12.49/M | ₽49.95/M | ₽499 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽15.82/M | ₽39.54/M | ₽514 |
| Bge Large En | bge large en | ₽22.46/M | ₽22.46/M | ₽561 |
| Bge Large Zh | bge large zh | ₽22.46/M | ₽22.46/M | ₽561 |
| Tao 8K | tao 8k | ₽22.46/M | ₽22.46/M | ₽561 |
| Embedding V1 | embedding 001 | ₽22.60/M | ₽22.60/M | ₽565 |
| Omni Moderation | omni moderation latest | ₽24.97/M | ₽24.97/M | ₽624 |
| Sora 2 | Sora 2 | ₽24.97/M | ₽24.97/M | ₽624 |
| Text Moderation | text moderation latest | ₽24.97/M | ₽24.97/M | ₽624 |
| Text Moderation 007 | text moderation 007 | ₽24.97/M | ₽24.97/M | ₽624 |
| Text Moderation Stable | text moderation stable | ₽24.97/M | ₽24.97/M | ₽624 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽23.72/M | ₽47.45/M | ₽712 |
| ERNIE Character 8K | ERNIE Character 8K | ₽23.72/M | ₽47.45/M | ₽712 |
| ERNIE Character Fiction 8K | ERNIE Character Fiction 8K | ₽23.72/M | ₽47.45/M | ₽712 |
| ERNIE Speed Pro 128K | ERNIE Speed Pro 128K | ₽23.72/M | ₽47.45/M | ₽712 |
| GPT-4o Mini | OpenAI | ₽18.73/M | ₽74.92/M | ₽749 |
| Grok 3 Mini | xAI | ₽37.46/M | ₽6.26/M | ₽780 |
| Qwen Flash | Qwen | ₽12.49/M | ₽125/M | ₽874 |
| Bce Reranker Base | bce reranker base | ₽39.54/M | ₽39.54/M | ₽989 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽39.54/M | ₽39.54/M | ₽989 |
| GLM 4 Flash | glm 4 flash | ₽39.54/M | ₽39.54/M | ₽989 |
| glm z1 air | glm z1 air | ₽39.54/M | ₽39.54/M | ₽989 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽39.54/M | ₽39.54/M | ₽989 |
| qwen3-embedding-0.6b | Qwen | ₽39.54/M | ₽39.54/M | ₽989 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽31.63/M | ₽79.08/M | ₽1 028 |
| GLM 4 Vision Plus | glm 4v plus | ₽44.92/M | ₽44.92/M | ₽1 123 |
| Claude 3 Haiku | Anthropic | ₽24.97/M | ₽125/M | ₽1 124 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽39.54/M | ₽79.08/M | ₽1 186 |
| Text Ada 001 | text ada 001 | ₽49.95/M | ₽49.95/M | ₽1 249 |
| Qwen3 0.6b | qwen3 0.6b | ₽7.91/M | ₽237/M | ₽1 344 |
| hunyuan code | hunyuan code | ₽44.92/M | ₽89.84/M | ₽1 348 |
| hunyuan functioncall | hunyuan functioncall | ₽44.92/M | ₽89.84/M | ₽1 348 |
| hunyuan role | hunyuan role | ₽44.92/M | ₽89.84/M | ₽1 348 |
| doubao embedding large text 250515 | doubao embedding large text 250515 | ₽55.36/M | ₽55.36/M | ₽1 384 |
| doubao embedding vision 241215 | doubao embedding vision 241215 | ₽55.36/M | ₽55.36/M | ₽1 384 |
| doubao embedding vision 250328 | doubao embedding vision 250328 | ₽55.36/M | ₽55.36/M | ₽1 384 |
| doubao embedding vision 250615 | doubao embedding vision 250615 | ₽55.36/M | ₽55.36/M | ₽1 384 |
| gte rerank | gte rerank | ₽55.36/M | ₽55.36/M | ₽1 384 |
| abab5.5s chat | abab5.5s chat | ₽56.15/M | ₽56.15/M | ₽1 404 |
| GLM 3 Turbo | glm 3 turbo | ₽56.15/M | ₽56.15/M | ₽1 404 |
| doubao seed 1 6 lite 251015 | doubao seed 1 6 lite 251015 | ₽23.72/M | ₽190/M | ₽1 423 |
| Qwen3 1.7b | qwen3 1.7b | ₽15.82/M | ₽237/M | ₽1 503 |
| Text Babbage 001 | text babbage 001 | ₽62.43/M | ₽62.43/M | ₽1 561 |
| hunyuan large | hunyuan large | ₽44.92/M | ₽135/M | ₽1 572 |
| Qwen Long | Qwen | ₽39.54/M | ₽158/M | ₽1 582 |
| Doubao Seed 1.6 Flash | ByteDance | ₽23.72/M | ₽237/M | ₽1 661 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽23.72/M | ₽237/M | ₽1 661 |
| Qwen Turbo | Qwen | ₽23.72/M | ₽237/M | ₽1 661 |
| Qwen3 4B | qwen3 4b | ₽23.72/M | ₽237/M | ₽1 661 |
| ERNIE Speed 128K | ERNIE Speed 128K | ₽70.93/M | ₽70.93/M | ₽1 773 |
| ERNIE Speed 8K | ERNIE Speed 8K | ₽70.93/M | ₽70.93/M | ₽1 773 |
| GPT-5 Mini | OpenAI | ₽31.22/M | ₽250/M | ₽1 873 |
| ocoolai deepsearch v3 | ocoolai deepsearch v3 | ₽62.43/M | ₽125/M | ₽1 873 |
| Qwen-MT Turbo | Qwen | ₽55.36/M | ₽154/M | ₽1 878 |
| yi lightning | yi lightning | ₽78.29/M | ₽78.29/M | ₽1 957 |
| SparkDesk Lite | SparkDesk Lite | ₽79.08/M | ₽79.08/M | ₽1 977 |
| Gpt 4.1 Mini | OpenAI | ₽49.95/M | ₽200/M | ₽1 998 |
| ERNIE 3.5 128K | ERNIE 3.5 128K | ₽63.27/M | ₽158/M | ₽2 056 |
| ERNIE 3.5 8K | ERNIE 3.5 8K | ₽63.27/M | ₽158/M | ₽2 056 |
| hunyuan turbos latest | hunyuan turbos 20250226 | ₽63.27/M | ₽158/M | ₽2 056 |
| gemini 2.5 flash lite | ₽52.44/M | ₽210/M | ₽2 098 | |
| Qwen Plus | Qwen | ₽66.60/M | ₽166/M | ₽2 164 |
| gpt 3.5 turbo | OpenAI | ₽62.43/M | ₽187/M | ₽2 185 |
| claude 3 5 haiku latest | Anthropic | ₽49.95/M | ₽250/M | ₽2 248 |
| Gemini 2.5 Flash | ₽37.46/M | ₽312/M | ₽2 310 | |
| hunyuan large longcontext | hunyuan large longcontext | ₽67.38/M | ₽202/M | ₽2 358 |
| qwen1.5 7b chat | qwen1.5 7b chat | ₽79.08/M | ₽158/M | ₽2 372 |
| Qwen2 7B Instruct | Qwen | ₽79.08/M | ₽158/M | ₽2 372 |
| Qwen2.5 Coder 7B | Qwen | ₽79.08/M | ₽158/M | ₽2 372 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽79.08/M | ₽158/M | ₽2 372 |
| step 2 mini | step 2 mini | ₽79.08/M | ₽158/M | ₽2 372 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽63.27/M | ₽253/M | ₽2 531 |
| ERNIE 4.5 Turbo 32k | ERNIE 4.5 Turbo 32k | ₽63.27/M | ₽253/M | ₽2 531 |
| GLM 4.5 Air | Z.ai | ₽47.45/M | ₽316/M | ₽2 531 |
| Grok 4.1 Fast (reasoning) | xAI | ₽105/M | ₽105/M | ₽2 622 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽79.08/M | ₽237/M | ₽2 768 |
| Qwen3 8B | Qwen | ₽39.54/M | ₽395/M | ₽2 768 |
| abab6.5s chat | abab6.5s chat | ₽112/M | ₽112/M | ₽2 807 |
| glm 4 airx | glm 4 airx | ₽112/M | ₽112/M | ₽2 807 |
| Doubao 1.5 Pro 256K | Doubao 1.5 pro 256k | ₽98.85/M | ₽178/M | ₽2 867 |
| Ascend · DeepSeek-R1 | Ascend | ₽74.92/M | ₽300/M | ₽2 997 |
| gpt audio mini | OpenAI | ₽74.92/M | ₽300/M | ₽2 997 |
| net glm 3 turbo | net glm 3 turbo | ₽125/M | ₽125/M | ₽3 122 |
| net gpt 3.5 turbo | net gpt 3.5 turbo | ₽125/M | ₽125/M | ₽3 122 |
| net gpt 3.5 turbo 16k | net gpt 3.5 turbo 16k | ₽125/M | ₽125/M | ₽3 122 |
| net gpt 4 | net gpt 4 | ₽125/M | ₽125/M | ₽3 122 |
| net gpt 4 1106 preview | net gpt 4 1106 preview | ₽125/M | ₽125/M | ₽3 122 |
| net gpt 4 turbo | net gpt 4 turbo | ₽125/M | ₽125/M | ₽3 122 |
| ocoolai helper | ocoolai helper | ₽125/M | ₽125/M | ₽3 122 |
| hunyuan t1 | hunyuan t1 | ₽79.08/M | ₽316/M | ₽3 163 |
| qwen2.5 vl 3b instruct | qwen2.5 vl 3b instruct | ₽94.90/M | ₽285/M | ₽3 321 |
| Qwen3-VL Flash | alibaba | ₽47.45/M | ₽474/M | ₽3 321 |
| Qwen3 Coder Flash | Qwen | ₽83.25/M | ₽333/M | ₽3 330 |
| doubao 1 5 lite 32k 250115 | doubao 1 5 lite 32k 250115 | ₽119/M | ₽237/M | ₽3 559 |
| ocoolai deepresearch v2 | ocoolai deepresearch v2 | ₽125/M | ₽250/M | ₽3 746 |
| bge reranker v2 m3 | bge reranker v2 m3 | ₽158/M | ₽158/M | ₽3 954 |
| doubao seedream 4 0 250828 | doubao seedream 4 0 250828 | ₽158/M | ₽158/M | ₽3 954 |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽158/M | ₽158/M | ₽3 954 |
| Jina Reranker M0 | jina reranker m0 | ₽158/M | ₽158/M | ₽3 954 |
| jina reranker v2 base multilingual | jina reranker v2 base multilingual | ₽158/M | ₽158/M | ₽3 954 |
| Qwen-VL Max | Qwen | ₽127/M | ₽316/M | ₽4 112 |
| doubao 1.5 vision lite 250315 | doubao 1.5 vision lite 250315 | ₽119/M | ₽356/M | ₽4 152 |
| doubao 1.5 vision pro 250328 | doubao 1.5 vision pro 250328 | ₽119/M | ₽356/M | ₽4 152 |
| Qwen-VL Plus | Qwen | ₽119/M | ₽356/M | ₽4 152 |
| Qwen3 30B A3B | Qwen | ₽59.31/M | ₽593/M | ₽4 152 |
| Gpt 5.6 Luna | OpenAI | ₽83.25/M | ₽499/M | ₽4 162 |
| gpt oss 20b | OpenAI | ₽105/M | ₽420/M | ₽4 196 |
| abab5.5 chat | abab5.5 chat | ₽168/M | ₽168/M | ₽4 211 |
| deepseek reasoner v3.2 | DeepSeek | ₽158/M | ₽237/M | ₽4 350 |
| deepseek v3.2 | DeepSeek | ₽158/M | ₽237/M | ₽4 350 |
| DeepSeek V3.2 Speciale | DeepSeek | ₽158/M | ₽237/M | ₽4 350 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽63.27/M | ₽633/M | ₽4 429 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽63.27/M | ₽633/M | ₽4 429 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽63.27/M | ₽633/M | ₽4 429 |
| Doubao Seed 1.6 Vision 250815 | doubao seed 1 6 vision 250815 | ₽63.27/M | ₽633/M | ₽4 429 |
| Gemma 2 27B | ₽187/M | ₽187/M | ₽4 683 | |
| MiniMax Text 01 | MiniMax Text 01 | ₽79.08/M | ₽633/M | ₽4 745 |
| qwen1.5 14b chat | qwen1.5 14b chat | ₽158/M | ₽316/M | ₽4 745 |
| hunyuan vision | hunyuan vision | ₽202/M | ₽202/M | ₽5 053 |
| doubao seed code preview 251028 | doubao seed code preview 251028 | ₽94.90/M | ₽636/M | ₽5 077 |
| qwen2.5 vl 7b instruct | qwen2.5 vl 7b instruct | ₽158/M | ₽395/M | ₽5 140 |
| babbage 002 | babbage 002 | ₽210/M | ₽210/M | ₽5 244 |
| gpt oss 120b | OpenAI | ₽137/M | ₽549/M | ₽5 494 |
| o1 mini | OpenAI | ₽137/M | ₽549/M | ₽5 494 |
| o3 mini low | OpenAI | ₽137/M | ₽549/M | ₽5 494 |
| o3 mini medium | OpenAI | ₽137/M | ₽549/M | ₽5 494 |
| O4 Mini | OpenAI | ₽137/M | ₽549/M | ₽5 494 |
| gemini 1.5 pro | ₽157/M | ₽472/M | ₽5 507 | |
| qwen coder turbo | Qwen | ₽158/M | ₽474/M | ₽5 536 |
| qwen math turbo | Qwen | ₽158/M | ₽474/M | ₽5 536 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽158/M | ₽474/M | ₽5 536 |
| qwen2.5 coder 14b instruct | qwen2.5 coder 14b instruct | ₽158/M | ₽474/M | ₽5 536 |
| Qwen2.5 Coder 32B Instruct | Qwen | ₽158/M | ₽474/M | ₽5 536 |
| Qwen3 14B | Qwen | ₽79.08/M | ₽791/M | ₽5 536 |
| Qwq 32b | Qwen | ₽158/M | ₽474/M | ₽5 536 |
| Claude Haiku 4.5 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| gpt 4 claude3 haiku 20240307 | OpenAI | ₽125/M | ₽624/M | ₽5 619 |
| gpt 4 claude3.5 haiku 20241022 | OpenAI | ₽125/M | ₽624/M | ₽5 619 |
| Qwen-VL OCR | Qwen | ₽226/M | ₽226/M | ₽5 649 |
| Doubao 1.5 Pro 256K 250115 | doubao 1 5 pro 256k 250115 | ₽198/M | ₽356/M | ₽5 734 |
| Qwen3-VL Plus | alibaba | ₽83.25/M | ₽832/M | ₽5 827 |
| hunyuan turbo | hunyuan turbo | ₽168/M | ₽561/M | ₽6 176 |
| gemini 2.5 pro | ₽104/M | ₽832/M | ₽6 243 | |
| gpt 4o mini transcribe | OpenAI | ₽156/M | ₽624/M | ₽6 243 |
| grok 3 image | xAI | ₽250/M | ₽250/M | ₽6 243 |
| Llama 3.3 70B | Meta | ₽250/M | ₽250/M | ₽6 243 |
| Text Curie 001 | text curie 001 | ₽250/M | ₽250/M | ₽6 243 |
| Gemini | ₽157/M | ₽629/M | ₽6 293 | |
| Gemini | ₽157/M | ₽629/M | ₽6 293 | |
| gemini 2.5 flash image | ₽157/M | ₽629/M | ₽6 293 | |
| DeepSeek Chat (V3) | DeepSeek | ₽158/M | ₽633/M | ₽6 327 |
| GLM 4.5 | Z.ai | ₽158/M | ₽633/M | ₽6 327 |
| MiniMax M2 | MiniMax | ₽158/M | ₽633/M | ₽6 327 |
| GPT 3.5 Turbo 1106 | OpenAI | ₽187/M | ₽562/M | ₽6 556 |
| MiniMax M2.1 | MiniMax | ₽166/M | ₽664/M | ₽6 643 |
| qwen coder plus | Qwen | ₽226/M | ₽452/M | ₽6 779 |
| Moonshot V1 8K | moonshot v1 8k | ₽158/M | ₽791/M | ₽7 117 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽158/M | ₽791/M | ₽7 117 |
| step 1o turbo vision | step 1o turbo vision | ₽198/M | ₽633/M | ₽7 117 |
| step r1 v mini | step r1 v mini | ₽198/M | ₽633/M | ₽7 117 |
| codex mini | codex mini | ₽187/M | ₽749/M | ₽7 492 |
| Gpt 6 Sol | OpenAI | ₽166/M | ₽832/M | ₽7 492 |
| ocoolai deepresearch v1pro | ocoolai deepresearch v1pro | ₽250/M | ₽499/M | ₽7 492 |
| Qwen Max | Qwen | ₽190/M | ₽759/M | ₽7 592 |
| Sora 2 Pro | sora 2 pro | ₽315/M | ₽315/M | ₽7 867 |
| qwen math plus | Qwen | ₽226/M | ₽678/M | ₽7 908 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽237/M | ₽712/M | ₽8 304 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽237/M | ₽712/M | ₽8 304 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽237/M | ₽712/M | ₽8 304 |
| qwen1.5 32b chat | qwen1.5 32b chat | ₽277/M | ₽554/M | ₽8 304 |
| Qwen2 57B A14B Instruct | Qwen | ₽277/M | ₽554/M | ₽8 304 |
| Qwen3 Max | qwen3 max | ₽208/M | ₽832/M | ₽8 325 |
| gpt 4o lite | OpenAI | ₽250/M | ₽749/M | ₽8 741 |
| gpt 5 codex | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| gpt 5 codex mini | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| Gpt 5.1 | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| gpt image 1 mini | OpenAI | ₽312/M | ₽624/M | ₽9 365 |
| GPT-5 | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| GPT-5 Chat | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| GPT-5.1 Chat | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| GPT-5.1-Codex | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| GPT-5.1-Codex-Max | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| GPT-5.1-Codex-Mini | OpenAI | ₽156/M | ₽1 249/M | ₽9 365 |
| abab6.5g chat | abab6.5g chat | ₽395/M | ₽395/M | ₽9 885 |
| abab6.5t chat | abab6.5t chat | ₽395/M | ₽395/M | ₽9 885 |
| glm z1 airx | glm z1 airx | ₽395/M | ₽395/M | ₽9 885 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽166/M | ₽1 329/M | ₽9 964 |
| Azure · DeepSeek-R1 | Azure | ₽250/M | ₽999/M | ₽9 989 |
| gemini 2.0 flash thinking exp 1219 | ₽250/M | ₽999/M | ₽9 989 | |
| Gpt 4.1 | OpenAI | ₽250/M | ₽999/M | ₽9 989 |
| O3 | OpenAI | ₽250/M | ₽999/M | ₽9 989 |
| Gpt 5.4 | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| Gpt 5.4 Mini | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| Gpt 5.4 Nano | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| gpt 5.4 openai compact | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| Gpt 5.6 Terra | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| GPT-4o | OpenAI | ₽312/M | ₽937/M | ₽10 926 |
| deepseek v3.1 | DeepSeek | ₽316/M | ₽949/M | ₽11 072 |
| DeepSeek V3.1 Terminus | DeepSeek | ₽316/M | ₽949/M | ₽11 072 |
| GLM 4.6 | Z.ai | ₽277/M | ₽1 107/M | ₽11 072 |
| glm 4.6v | Z.ai | ₽277/M | ₽1 107/M | ₽11 072 |
| qwen 2.5 72b instruct | Qwen | ₽316/M | ₽949/M | ₽11 072 |
| Qwen2 72B Instruct | Qwen | ₽316/M | ₽949/M | ₽11 072 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽316/M | ₽949/M | ₽11 072 |
| qwen3 235b a22b | Qwen | ₽158/M | ₽1 582/M | ₽11 072 |
| Qwen3 32B | Qwen | ₽158/M | ₽1 582/M | ₽11 072 |
| Claude Sonnet 5 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| Claude Sonnet 5.5 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| GPT-3.5 Turbo 16k | OpenAI | ₽375/M | ₽749/M | ₽11 238 |
| Grok 2 1212 | xAI | ₽250/M | ₽1 249/M | ₽11 238 |
| Grok 2 Vision 1212 | xAI | ₽250/M | ₽1 249/M | ₽11 238 |
| kimi latest | kimi latest | ₽250/M | ₽1 249/M | ₽11 238 |
| step 1 32k | step 1 32k | ₽270/M | ₽1 258/M | ₽11 679 |
| step 1v 32k | step 1v 32k | ₽270/M | ₽1 258/M | ₽11 679 |
| yi vision v2 | yi vision v2 | ₽474/M | ₽474/M | ₽11 862 |
| qwen1.5 72b chat | qwen1.5 72b chat | ₽395/M | ₽791/M | ₽11 862 |
| gemini 2.0 pro exp | ₽312/M | ₽1 249/M | ₽12 487 | |
| GPT 4o Audio Preview | OpenAI | ₽312/M | ₽1 249/M | ₽12 487 |
| gpt 4o transcribe | OpenAI | ₽312/M | ₽1 249/M | ₽12 487 |
| gpt audio | OpenAI | ₽312/M | ₽1 249/M | ₽12 487 |
| llama 4 | Meta | ₽312/M | ₽1 249/M | ₽12 487 |
| Llama 4 Scout | Meta | ₽312/M | ₽1 249/M | ₽12 487 |
| gpt 4o mini realtime preview | OpenAI | ₽315/M | ₽1 259/M | ₽12 587 |
| DeepSeek Reasoner (R1) | DeepSeek | ₽316/M | ₽1 265/M | ₽12 653 |
| doubao 1 5 thinking pro 250415 | doubao 1 5 thinking pro 250415 | ₽316/M | ₽1 265/M | ₽12 653 |
| GLM 4.5 Airx | glm 4.5 airx | ₽316/M | ₽1 265/M | ₽12 653 |
| Glm 4.7 | glm 4.7 | ₽316/M | ₽1 265/M | ₽12 653 |
| Kimi K2 0711 | MoonshotAI | ₽316/M | ₽1 265/M | ₽12 653 |
| ocoolAI · DeepSeek-R1 | ocoolAI | ₽325/M | ₽1 299/M | ₽12 986 |
| gemini 3 flash | ₽262/M | ₽1 573/M | ₽13 111 | |
| gpt 3.5o | OpenAI | ₽375/M | ₽1 124/M | ₽13 111 |
| Gpt 5.2 | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| gpt 5.3 codex | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| gpt 5.3 codex low | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| gpt 5.3 codex openai compact | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| gpt 5.3 codex spark | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| gpt 5.3 codex xhigh | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| GPT-5.2 Chat | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| GPT-5.2-Codex | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| GPT-5.3 Chat | OpenAI | ₽219/M | ₽1 748/M | ₽13 111 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽190/M | ₽1 898/M | ₽13 286 |
| MiniMax M1 | MiniMax | ₽190/M | ₽1 898/M | ₽13 286 |
| qwen3 coder plus | Qwen | ₽333/M | ₽1 332/M | ₽13 319 |
| GLM 4 Plus | glm 4 plus | ₽561/M | ₽561/M | ₽14 037 |
| Kimi K2.5 | MoonshotAI | ₽316/M | ₽1 661/M | ₽14 630 |
| gpt 5.6 | OpenAI | ₽333/M | ₽1 665/M | ₽14 984 |
| Grok Vision Beta | xAI | ₽624/M | ₽624/M | ₽15 609 |
| Moonshot V1 32K | moonshot v1 32k | ₽395/M | ₽1 582/M | ₽15 817 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽395/M | ₽1 582/M | ₽15 817 |
| qwen1.5 110b chat | qwen1.5 110b chat | ₽554/M | ₽1 107/M | ₽16 607 |
| Claude Sonnet 4 | Anthropic | ₽375/M | ₽1 873/M | ₽16 857 |
| Claude Sonnet 4.5 | Anthropic | ₽375/M | ₽1 873/M | ₽16 857 |
| Claude Sonnet 4.6 | Anthropic | ₽375/M | ₽1 873/M | ₽16 857 |
| gpt 4 claude3 sonnet 20240229 | OpenAI | ₽375/M | ₽1 873/M | ₽16 857 |
| gpt 4 claude3.5 sonnet 20240620 | OpenAI | ₽375/M | ₽1 873/M | ₽16 857 |
| gpt 4 claude3.5 sonnet 20241022 | OpenAI | ₽375/M | ₽1 873/M | ₽16 857 |
| gpt 4 claude3.7 sonnet 20250219 | OpenAI | ₽375/M | ₽1 873/M | ₽16 857 |
| grok 3 deepersearch | xAI | ₽375/M | ₽1 873/M | ₽16 857 |
| grok 3 reasoning | xAI | ₽375/M | ₽1 873/M | ₽16 857 |
| Grok 4 | xAI | ₽375/M | ₽1 873/M | ₽16 857 |
| GLM-5 | glm 5 | ₽474/M | ₽1 898/M | ₽18 980 |
| deepseek ai · DeepSeek-R1 | DeepSeek | ₽499/M | ₽1 998/M | ₽19 979 |
| gpt realtime | OpenAI | ₽499/M | ₽1 998/M | ₽19 979 |
| Gpt 5.5 | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt 5.5 openai compact | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| Gpt 5.6 Sol | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 2 | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| grok beta | xAI | ₽624/M | ₽1 873/M | ₽21 852 |
| hunyuan turbo vision | hunyuan turbo vision | ₽898/M | ₽898/M | ₽22 460 |
| Meta Llama 3.1 405B Instruct | Meta | ₽899/M | ₽899/M | ₽22 476 |
| Qwen-MT Plus | Qwen | ₽712/M | ₽2 135/M | ₽24 911 |
| GLM 4.5 X | glm 4.5 x | ₽633/M | ₽2 531/M | ₽25 307 |
| Davinci | davinci | ₽1 049/M | ₽1 049/M | ₽26 222 |
| Moonshot V1 128K | moonshot v1 128k | ₽791/M | ₽2 372/M | ₽27 679 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽791/M | ₽2 372/M | ₽27 679 |
| SparkDesk Pro | SparkDesk Pro | ₽1 107/M | ₽1 107/M | ₽27 679 |
| GLM 4 Vision | glm 4v | ₽1 123/M | ₽1 123/M | ₽28 075 |
| Claude Opus 4 8 | Anthropic | ₽624/M | ₽3 122/M | ₽28 095 |
| Claude Opus 4.5 | Anthropic | ₽624/M | ₽3 122/M | ₽28 095 |
| Claude Opus 4.6 | Anthropic | ₽624/M | ₽3 122/M | ₽28 095 |
| Claude Opus 4.7 | Anthropic | ₽624/M | ₽3 122/M | ₽28 095 |
| KAT Dev 72B Exp | KAT Dev 72B Exp | ₽751/M | ₽3 005/M | ₽30 052 |
| gpt image 2.5 | OpenAI | ₽624/M | ₽3 746/M | ₽31 217 |
| KAT Coder | KAT Coder | ₽791/M | ₽3 163/M | ₽31 633 |
| Qvq 72B Preview | Qwen | ₽949/M | ₽2 847/M | ₽33 215 |
| gpt 4o realtime preview | OpenAI | ₽874/M | ₽3 496/M | ₽34 963 |
| kimi k2 thinking turbo | kimi k2 thinking turbo | ₽633/M | ₽4 587/M | ₽35 587 |
| gpt image 1.5 | OpenAI | ₽699/M | ₽4 475/M | ₽36 362 |
| Gpt 6 Astra | OpenAI | ₽832/M | ₽4 162/M | ₽37 460 |
| gpt image 1 | OpenAI | ₽624/M | ₽4 995/M | ₽37 460 |
| Gpt 5 Search API | OpenAI | ₽656/M | ₽5 244/M | ₽39 333 |
| GPT 4 1106 Preview | OpenAI | ₽1 249/M | ₽3 746/M | ₽43 704 |
| gpt 4 turbo | OpenAI | ₽1 249/M | ₽3 746/M | ₽43 704 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽1 265/M | ₽3 796/M | ₽44 287 |
| Qwen2.5 VL 72B Instruct | Qwen | ₽1 265/M | ₽3 796/M | ₽44 287 |
| tts 1 | OpenAI | ₽1 873/M | ₽1 873/M | ₽46 826 |
| Tts 1 1106 | tts 1 1106 | ₽1 873/M | ₽1 873/M | ₽46 826 |
| ERNIE 4.0 8K | ERNIE 4.0 8K | ₽1 348/M | ₽4 043/M | ₽47 165 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽1 265/M | ₽5 061/M | ₽50 613 |
| SparkDesk Pro 128K | SparkDesk Pro 128K | ₽2 056/M | ₽2 056/M | ₽51 404 |
| step 1o vision 32k | step 1o vision 32k | ₽1 186/M | ₽5 536/M | ₽51 404 |
| gemini 3 pro | ₽1 049/M | ₽6 293/M | ₽52 445 | |
| ERNIE 4.0 Turbo 128K | ERNIE 4.0 Turbo 128K | ₽1 582/M | ₽4 745/M | ₽55 358 |
| ERNIE 4.0 Turbo 8K | ERNIE 4.0 Turbo 8K | ₽1 582/M | ₽4 745/M | ₽55 358 |
| claude fable 5 | Anthropic | ₽1 249/M | ₽6 243/M | ₽56 191 |
| Claude Fable 5 1 | Anthropic | ₽1 249/M | ₽6 243/M | ₽56 191 |
| GLM 4 | glm 4 | ₽2 372/M | ₽2 372/M | ₽59 312 |
| Text Davinci 002 | text davinci 002 | ₽2 497/M | ₽2 497/M | ₽62 434 |
| Text Davinci Edit 001 | text davinci edit 001 | ₽2 497/M | ₽2 497/M | ₽62 434 |
| Sonnet 3 | Anthropic | ₽1 573/M | ₽7 867/M | ₽70 800 |
| whisper 1 | OpenAI | ₽3 746/M | ₽3 746/M | ₽74 921 |
| Claude Opus 4 | Anthropic | ₽1 873/M | ₽9 365/M | ₽84 286 |
| gpt 4 claude3 opus 20240229 | OpenAI | ₽1 873/M | ₽9 365/M | ₽84 286 |
| hunyuan pro | hunyuan pro | ₽2 372/M | ₽7 908/M | ₽86 991 |
| gpt 4 vision | OpenAI | ₽2 497/M | ₽7 492/M | ₽87 408 |
| tts 1 hd | OpenAI | ₽3 746/M | ₽3 746/M | ₽93 651 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽3 746/M | ₽3 746/M | ₽93 651 |
| o3 Pro | OpenAI | ₽2 497/M | ₽9 989/M | ₽99 894 |
| ERNIE Novel 8K | ERNIE Novel 8K | ₽3 163/M | ₽9 490/M | ₽110 716 |
| gpt 4 gizmo * | OpenAI | ₽3 746/M | ₽7 492/M | ₽112 381 |
| GPT-5 Pro | OpenAI | ₽1 873/M | ₽14 984/M | ₽112 381 |
| DALL E 3 | DALL E 3 | ₽4 995/M | ₽4 995/M | ₽124 868 |
| gpt 5.4 pro | OpenAI | ₽2 497/M | ₽14 984/M | ₽124 868 |
| SparkDesk Max 32k | SparkDesk Max 32k | ₽7 117/M | ₽7 117/M | ₽177 937 |
| step tts mini | step tts mini | ₽7 117/M | ₽7 117/M | ₽177 937 |
| sambert v1 | sambert v1 | ₽7 908/M | ₽7 908/M | ₽197 708 |
| SenseVoiceSmall | SenseVoiceSmall | ₽7 908/M | ₽7 908/M | ₽197 708 |
| gpt 4 32k | OpenAI | ₽7 492/M | ₽14 984/M | ₽224 763 |
| Dall E 2 | dall e 2 | ₽10 489/M | ₽10 489/M | ₽262 223 |
| SparkDesk 4.0 Ultra | SparkDesk 4.0 Ultra | ₽11 072/M | ₽11 072/M | ₽276 791 |
| gpt 4.5 preview | OpenAI | ₽9 365/M | ₽18 730/M | ₽280 953 |
| claude 3 opus latest | Anthropic | ₽7 867/M | ₽39 333/M | ₽354 001 |
| Z-Image | z image | ₽15 733/M | ₽15 733/M | ₽393 335 |
| speech 01 turbo | speech 01 turbo | ₽15 817/M | ₽15 817/M | ₽395 416 |
| speech 02 turbo | speech 02 turbo | ₽15 817/M | ₽15 817/M | ₽395 416 |
| GPT-5.2 Pro | OpenAI | ₽11 013/M | ₽88 107/M | ₽660 802 |
| paraformer realtime v2 | paraformer realtime v2 | ₽27 679/M | ₽27 679/M | ₽691 977 |
| speech 01 hd | speech 01 hd | ₽27 679/M | ₽27 679/M | ₽691 977 |
| speech 02 hd | speech 02 hd | ₽27 679/M | ₽27 679/M | ₽691 977 |
| Doubao tts | Doubao tts | ₽39 542/M | ₽39 542/M | ₽988 539 |
| parse pdf | parse pdf | ₽1 581 663/M | ₽1 581 663/M | ₽39 541 565 |
Изображения
за изображение · 3
▼
Изображения
за изображение · 3
| Модель | Maker | Цена |
|---|---|---|
| Flux | Black Forest Labs | ₽1.25/изобр. |
| gpt 4o image | OpenAI | ₽6.24/изобр. |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽157/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 | xAI | ₽1.25/вызов |
| deepseek r1 | DeepSeek | ₽2.61/вызов |
| O3 Mini | OpenAI | ₽3.75/вызов |
| DeepSeek V3 | DeepSeek | ₽4.12/вызов |
| jimeng 3.0 | jimeng 3.0 | ₽6.24/вызов |
| gpt 4 claude3.5 sonnet all | OpenAI | ₽8.12/вызов |
| Sonnet 3.5 | Anthropic | ₽8.12/вызов |
| gpt 4 grok 3 all | OpenAI | ₽8.24/вызов |
| grok 3 deepsearch | xAI | ₽8.24/вызов |
| grok 3 reasoner | xAI | ₽8.24/вызов |
| gpt 4 | OpenAI | ₽12.49/вызов |
| luma video | luma video | ₽12.49/вызов |
| mj chat | mj chat | ₽12.49/вызов |
| Sonnet 3.7 | Anthropic | ₽12.49/вызов |
| url analysis | url analysis | ₽12.49/вызов |
| Midjourney | midjourney | ₽13.74/вызов |
| Suno | suno | ₽14.98/вызов |
| o3 Mini High | OpenAI | ₽19.98/вызов |
| O1 | OpenAI | ₽37.46/вызов |
| o1-pro | OpenAI | ₽74.92/вызов |
| veo 3.0 fast generate 001 | veo 3.0 fast generate 001 | ₽629/вызов |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽1 678/вызов |
Без публичной цены
нет данных в открытых источниках · 24
▼
Без публичной цены
нет данных в открытых источниках · 24
| Модель | Maker | Примечание |
|---|---|---|
| chirp v3 0 | chirp v3 0 | — |
| chirp v3 5 | chirp v3 5 | — |
| Claude Opus 5 | Anthropic | — |
| Claude Opus 5 5 | Anthropic | — |
| codex auto review | codex auto review | — |
| doubao seed 2 0 mini 260215 | doubao seed 2 0 mini 260215 | — |
| Doubao Seed 2.0 Code Preview | ByteDance | — |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | — |
| Doubao Seed 2.0 Pro | ByteDance | — |
| Flux Kontext Max | Black Forest Labs | — |
| flux kontext pro | Black Forest Labs | — |
| glm 4.6v flash | glm 4.6v flash | — |
| GLM 4V Flash | GLM 4V Flash | — |
| GPT Realtime Mini | OpenAI | — |
| Grok 4 Fast | xAI | — |
| Grok 4 Fast (reasoning) | xAI | — |
| grok 4.5 | xAI | — |
| KAT Coder Air V1 | KAT Coder Air V1 | — |
| KAT Coder Exp 72B 1010 | KAT Coder Exp 72B 1010 | — |
| KAT Coder Pro V1 | KAT Coder Pro V1 | — |
| MiniMax M2.5 | MiniMax | — |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | — |
| pika text to video | pika text to video | — |
| SparkDesk Max | SparkDesk Max | — |
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. У части моделей новых сборок движка цена задана выражением billing_expr (контекстные тарифы, peak/off-peak по UTC) — тогда берём коэффициенты из выражения, а model_ratio игнорируем: там заглушка. Если модели нет в таблице коэффициентов движка, /api/pricing отдаёт вместо цены константу (37.5 у New API, 30 у one-api) — такую модель показываем без цены, а не с пересчитанной из заглушки. 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 440 моделей AI API. Средняя цена — ₽4 647/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 01.10.2026.