o3.fan
Сайт ↗1600+ моделей OneAPI: map-pricing, один из крупнейших каталогов
- Моделей
- 439
- Средняя цена
- ₽890/M
- Регион
- Зарубежный · сайт на китайский
- Оплата
- USD (доллары), PayPal
- Биллинг
- за токены
- API
- OpenAI-compatible
Сайт на китайском · Ratio/map 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
439 моделей
Текст и чат
оплата за токены · 392
▼
Текст и чат
оплата за токены · 392
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| glm 4.6v flash | glm 4.6v flash | ₽0.0083/M | ₽0.0083/M | ₽0 |
| gpt 4o mini transcribe | OpenAI | ₽0.50/M | ₽2.00/M | ₽20 |
| codegeex 4 | codegeex 4 | ₽1.14/M | ₽1.14/M | ₽29 |
| ERNIE Speed 8K | ERNIE Speed 8K | ₽1.14/M | ₽1.14/M | ₽29 |
| ERNIE Tiny 8K | ERNIE Tiny 8K | ₽1.14/M | ₽1.14/M | ₽29 |
| GLM 4 Flash | glm 4 flash | ₽1.14/M | ₽1.14/M | ₽29 |
| glm 4 flashx | glm 4 flashx | ₽1.14/M | ₽1.14/M | ₽29 |
| GLM 4V Flash | GLM 4V Flash | ₽1.14/M | ₽1.14/M | ₽29 |
| glm z1 flash | glm z1 flash | ₽1.14/M | ₽1.14/M | ₽29 |
| hunyuan lite | hunyuan lite | ₽1.14/M | ₽1.14/M | ₽29 |
| Jina Embeddings V3 | jina embeddings v3 | ₽1.14/M | ₽1.14/M | ₽29 |
| gpt 4o transcribe | OpenAI | ₽1.00/M | ₽4.00/M | ₽40 |
| text embedding 3 small | OpenAI | ₽1.66/M | ₽1.66/M | ₽42 |
| jina clip v1 | jina clip v1 | ₽1.71/M | ₽1.71/M | ₽43 |
| jina colbert v1 en | jina colbert v1 en | ₽1.71/M | ₽1.71/M | ₽43 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base de | jina embeddings v2 base de | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base en | jina embeddings v2 base en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base es | jina embeddings v2 base es | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base zh | jina embeddings v2 base zh | ₽1.71/M | ₽1.71/M | ₽43 |
| Jina Reranker M0 | jina reranker m0 | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v1 base en | jina reranker v1 base en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v1 tiny en | jina reranker v1 tiny en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v1 turbo en | jina reranker v1 turbo en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v2 base multilingual | jina reranker v2 base multilingual | ₽1.71/M | ₽1.71/M | ₽43 |
| tts 1 | OpenAI | ₽2.50/M | ₽2.50/M | ₽62 |
| Tts 1 1106 | tts 1 1106 | ₽2.50/M | ₽2.50/M | ₽62 |
| ERNIE Lite Pro 128K | ERNIE Lite Pro 128K | ₽2.28/M | ₽4.56/M | ₽68 |
| gpt 4o mini tts | OpenAI | ₽2.50/M | ₽9.99/M | ₽100 |
| doubao 1 5 lite 32k 250115 | doubao 1 5 lite 32k 250115 | ₽3.42/M | ₽6.84/M | ₽103 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽3.42/M | ₽6.84/M | ₽103 |
| ERNIE Character 8K | ERNIE Character 8K | ₽3.42/M | ₽6.84/M | ₽103 |
| ERNIE Character Fiction 8K | ERNIE Character Fiction 8K | ₽3.42/M | ₽6.84/M | ₽103 |
| ERNIE Speed Pro 128K | ERNIE Speed Pro 128K | ₽3.42/M | ₽6.84/M | ₽103 |
| Qwen Turbo | Qwen | ₽3.42/M | ₽6.84/M | ₽103 |
| gemini 1.5 flash 8b | ₽3.12/M | ₽12.49/M | ₽125 | |
| tts 1 hd | OpenAI | ₽4.99/M | ₽4.99/M | ₽125 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽4.99/M | ₽4.99/M | ₽125 |
| Gemini 2.0 Flash | ₽3.33/M | ₽13.32/M | ₽133 | |
| Qwen Flash Character | Qwen | ₽1.92/M | ₽19.21/M | ₽134 |
| Qwen3 0.6b | qwen3 0.6b | ₽3.42/M | ₽13.68/M | ₽137 |
| Qwen3 1.7b | qwen3 1.7b | ₽3.42/M | ₽13.68/M | ₽137 |
| Qwen3 4B | qwen3 4b | ₽3.42/M | ₽13.68/M | ₽137 |
| Bce Reranker Base | bce reranker base | ₽5.70/M | ₽5.70/M | ₽143 |
| Bge Large En | bge large en | ₽5.70/M | ₽5.70/M | ₽143 |
| Bge Large Zh | bge large zh | ₽5.70/M | ₽5.70/M | ₽143 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽5.70/M | ₽5.70/M | ₽143 |
| Embedding 2 | embedding 2 | ₽5.70/M | ₽5.70/M | ₽143 |
| Embedding 3 | embedding 3 | ₽5.70/M | ₽5.70/M | ₽143 |
| Embedding V1 | embedding 001 | ₽5.70/M | ₽5.70/M | ₽143 |
| glm z1 air | glm z1 air | ₽5.70/M | ₽5.70/M | ₽143 |
| Qwen Text Embedding v3 | Qwen | ₽5.70/M | ₽5.70/M | ₽143 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽5.70/M | ₽5.70/M | ₽143 |
| qwen3-embedding-0.6b | Qwen | ₽5.70/M | ₽5.70/M | ₽143 |
| Tao 8K | tao 8k | ₽5.70/M | ₽5.70/M | ₽143 |
| doubao embedding large text 250515 | doubao embedding large text 250515 | ₽7.98/M | ₽7.98/M | ₽200 |
| doubao embedding vision 241215 | doubao embedding vision 241215 | ₽7.98/M | ₽7.98/M | ₽200 |
| doubao embedding vision 250328 | doubao embedding vision 250328 | ₽7.98/M | ₽7.98/M | ₽200 |
| doubao embedding vision 250615 | doubao embedding vision 250615 | ₽7.98/M | ₽7.98/M | ₽200 |
| gte rerank | gte rerank | ₽7.98/M | ₽7.98/M | ₽200 |
| hunyuan embedding | hunyuan embedding | ₽7.98/M | ₽7.98/M | ₽200 |
| Sora 2 | Sora 2 | ₽8.32/M | ₽8.32/M | ₽208 |
| Text Embedding ADA | text embedding ada | ₽8.32/M | ₽8.32/M | ₽208 |
| Qwen Long | Qwen | ₽5.70/M | ₽22.81/M | ₽228 |
| Qwen3 8B | Qwen | ₽5.70/M | ₽22.81/M | ₽228 |
| gemini 1.5 flash | ₽6.24/M | ₽24.97/M | ₽250 | |
| Gemini 2.0 Flash-Lite | ₽6.24/M | ₽24.97/M | ₽250 | |
| GPT-5 Nano | OpenAI | ₽4.16/M | ₽33.30/M | ₽250 |
| bge reranker v2 m3 | bge reranker v2 m3 | ₽10.26/M | ₽10.26/M | ₽257 |
| text embedding 3 large | OpenAI | ₽10.82/M | ₽10.82/M | ₽271 |
| Qwen-MT Turbo | Qwen | ₽7.98/M | ₽22.24/M | ₽271 |
| claude 3 5 haiku latest | Anthropic | ₽6.24/M | ₽31.22/M | ₽281 |
| yi lightning | yi lightning | ₽11.29/M | ₽11.29/M | ₽282 |
| abab6.5s chat | abab6.5s chat | ₽11.40/M | ₽11.40/M | ₽285 |
| charglm 4 | charglm 4 | ₽11.40/M | ₽11.40/M | ₽285 |
| GLM 3 Turbo | glm 3 turbo | ₽11.40/M | ₽11.40/M | ₽285 |
| glm 4 air | glm 4 air | ₽11.40/M | ₽11.40/M | ₽285 |
| GLM 4 Long | GLM 4 Long | ₽11.40/M | ₽11.40/M | ₽285 |
| SparkDesk Lite | SparkDesk Lite | ₽11.40/M | ₽11.40/M | ₽285 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽9.12/M | ₽22.81/M | ₽296 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽9.12/M | ₽22.81/M | ₽296 |
| ERNIE 3.5 128K | ERNIE 3.5 128K | ₽9.12/M | ₽22.81/M | ₽296 |
| ERNIE 3.5 8K | ERNIE 3.5 8K | ₽9.12/M | ₽22.81/M | ₽296 |
| hunyuan standard | hunyuan standard | ₽9.12/M | ₽22.81/M | ₽296 |
| hunyuan turbos latest | hunyuan turbos 20250226 | ₽9.12/M | ₽22.81/M | ₽296 |
| Qwen Plus | Qwen | ₽9.12/M | ₽22.81/M | ₽297 |
| gemini embedding exp | ₽12.49/M | ₽12.49/M | ₽312 | |
| Gemini 2.5 Flash | ₽8.32/M | ₽33.30/M | ₽333 | |
| gemini 2.5 flash lite | ₽8.32/M | ₽33.30/M | ₽333 | |
| Gemini Flash-Lite Latest | ₽8.32/M | ₽33.30/M | ₽333 | |
| Gpt 4.1 Nano | OpenAI | ₽8.32/M | ₽33.30/M | ₽333 |
| KAT Coder Exp 72B 1010 | KAT Coder Exp 72B 1010 | ₽16.65/M | ₽1.66/M | ₽341 |
| step 2 mini | step 2 mini | ₽11.40/M | ₽22.81/M | ₽342 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽9.12/M | ₽36.49/M | ₽365 |
| ERNIE 4.5 Turbo 32k | ERNIE 4.5 Turbo 32k | ₽9.12/M | ₽36.49/M | ₽365 |
| Gpt 6 Luna | OpenAI | ₽8.32/M | ₽41.62/M | ₽375 |
| Gemini Embedding 2 | ₽16.65/M | ₽16.65/M | ₽416 | |
| KAT Coder Air V1 | KAT Coder Air V1 | ₽16.65/M | ₽16.65/M | ₽416 |
| KAT Coder Pro V1 | KAT Coder Pro V1 | ₽16.65/M | ₽16.65/M | ₽416 |
| Omni Moderation | omni moderation latest | ₽16.65/M | ₽16.65/M | ₽416 |
| Wan 2.2 I2V Flash | alibaba | ₽16.65/M | ₽16.65/M | ₽416 |
| Wan 2.2 KF2V Flash | alibaba | ₽16.65/M | ₽16.65/M | ₽416 |
| deepseek ai · DeepSeek-R1 | DeepSeek | ₽11.15/M | ₽44.62/M | ₽446 |
| hunyuan t1 | hunyuan t1 | ₽11.40/M | ₽45.61/M | ₽456 |
| Qwen3 14B | Qwen | ₽11.40/M | ₽45.61/M | ₽456 |
| qwen3.5 plus | qwen3.5 plus | ₽9.12/M | ₽54.74/M | ₽456 |
| Doubao Seed 1.6 Flash | ByteDance | ₽6.84/M | ₽68.42/M | ₽479 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽6.84/M | ₽68.42/M | ₽479 |
| qwen2.5 vl 3b instruct | qwen2.5 vl 3b instruct | ₽13.68/M | ₽41.05/M | ₽479 |
| Qwen3-VL Flash | alibaba | ₽6.84/M | ₽68.42/M | ₽479 |
| gemini 2.5 flash preview native audio dialog | ₽12.49/M | ₽49.95/M | ₽499 | |
| GPT-4o Mini | OpenAI | ₽12.49/M | ₽49.95/M | ₽499 |
| Qwen3 Coder Flash | Qwen | ₽12.81/M | ₽51.23/M | ₽512 |
| DeepSeek-V3 | DeepSeek | ₽13.32/M | ₽53.28/M | ₽533 |
| Qwq 32b | Qwen | ₽23.31/M | ₽23.31/M | ₽583 |
| Wan 2.2 I2V Plus | alibaba | ₽23.31/M | ₽23.31/M | ₽583 |
| Wan 2.2 T2V Plus | alibaba | ₽23.31/M | ₽23.31/M | ₽583 |
| Qwen-VL Plus | Qwen | ₽17.11/M | ₽54.74/M | ₽616 |
| Gpt 5.4 Mini | OpenAI | ₽12.49/M | ₽74.92/M | ₽624 |
| Sora 2 Pro | sora 2 pro | ₽24.97/M | ₽24.97/M | ₽624 |
| deepseek reasoner v3.2 | DeepSeek | ₽22.81/M | ₽34.21/M | ₽627 |
| deepseek v3.2 | DeepSeek | ₽22.81/M | ₽34.21/M | ₽627 |
| DeepSeek V3.2 Speciale | DeepSeek | ₽22.81/M | ₽34.21/M | ₽627 |
| doubao 1 5 thinking pro 250415 | doubao 1 5 thinking pro 250415 | ₽9.12/M | ₽91.23/M | ₽639 |
| doubao seed 2 0 mini 260215 | doubao seed 2 0 mini 260215 | ₽9.12/M | ₽91.24/M | ₽639 |
| deepseek r1 | DeepSeek | ₽16.65/M | ₽66.60/M | ₽666 |
| MiniMax Text 01 | MiniMax Text 01 | ₽11.40/M | ₽91.23/M | ₽684 |
| Qwen3 30B A3B | Qwen | ₽17.11/M | ₽68.42/M | ₽684 |
| deepseek v4 flash | DeepSeek | ₽23.31/M | ₽46.62/M | ₽699 |
| Qwen-MT Plus | Qwen | ₽20.53/M | ₽61.58/M | ₽718 |
| GLM 4.5 Air | Z.ai | ₽13.68/M | ₽91.23/M | ₽730 |
| GLM 4.5 Airx | glm 4.5 airx | ₽13.68/M | ₽91.23/M | ₽730 |
| qwen2.5 vl 7b instruct | qwen2.5 vl 7b instruct | ₽22.81/M | ₽57.02/M | ₽741 |
| Grok 3 Mini | xAI | ₽24.97/M | ₽49.95/M | ₽749 |
| glm 4.6v | Z.ai | ₽22.81/M | ₽68.42/M | ₽798 |
| qwen coder turbo | Qwen | ₽22.81/M | ₽68.42/M | ₽798 |
| qwen math turbo | Qwen | ₽22.81/M | ₽68.42/M | ₽798 |
| Gpt 5.4 Nano | OpenAI | ₽16.65/M | ₽104/M | ₽853 |
| Qwen3-VL Plus | alibaba | ₽12.81/M | ₽128/M | ₽896 |
| DeepSeek Chat (V3) | DeepSeek | ₽22.81/M | ₽91.23/M | ₽912 |
| Claude 3 Haiku | Anthropic | ₽20.81/M | ₽104/M | ₽937 |
| MiniMax M2.1 | MiniMax | ₽23.94/M | ₽95.77/M | ₽958 |
| MiniMax M2.5 | MiniMax | ₽23.94/M | ₽95.77/M | ₽958 |
| MiniMax M2 | MiniMax | ₽23.95/M | ₽95.79/M | ₽958 |
| Qwen Flash | Qwen | ₽13.68/M | ₽137/M | ₽958 |
| wanx2.1 i2v turbo | wanx2.1 i2v turbo | ₽39.96/M | ₽39.96/M | ₽999 |
| wanx2.1 t2v turbo | wanx2.1 t2v turbo | ₽39.96/M | ₽39.96/M | ₽999 |
| Moonshot V1 8K | moonshot v1 8k | ₽22.81/M | ₽114/M | ₽1 026 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽22.81/M | ₽114/M | ₽1 026 |
| step 1o turbo vision | step 1o turbo vision | ₽28.51/M | ₽91.23/M | ₽1 026 |
| step r1 v mini | step r1 v mini | ₽28.51/M | ₽91.23/M | ₽1 026 |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | ₽20.53/M | ₽123/M | ₽1 026 |
| Gemini 3.1 Flash Lite | ₽20.81/M | ₽125/M | ₽1 041 | |
| Qwen Max | Qwen | ₽27.37/M | ₽109/M | ₽1 095 |
| Claude Haiku 4.5 | Anthropic | ₽24.97/M | ₽125/M | ₽1 124 |
| Qwen3 Max | qwen3 max | ₽28.50/M | ₽114/M | ₽1 140 |
| Kimi K2 0711 | MoonshotAI | ₽28.97/M | ₽116/M | ₽1 159 |
| Qwen3.6 Plus | Qwen | ₽23.31/M | ₽140/M | ₽1 165 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽34.21/M | ₽103/M | ₽1 197 |
| doubao 1.5 vision pro 250328 | doubao 1.5 vision pro 250328 | ₽34.21/M | ₽103/M | ₽1 197 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽34.21/M | ₽103/M | ₽1 197 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽34.21/M | ₽103/M | ₽1 197 |
| Qwen-VL Max | Qwen | ₽34.21/M | ₽103/M | ₽1 197 |
| qwen coder plus | Qwen | ₽39.91/M | ₽79.82/M | ₽1 197 |
| GPT-5 Mini | OpenAI | ₽20.81/M | ₽166/M | ₽1 249 |
| GPT-5.1-Codex-Mini | OpenAI | ₽20.81/M | ₽166/M | ₽1 249 |
| gpt 3.5 turbo | OpenAI | ₽41.62/M | ₽83.25/M | ₽1 249 |
| Wan 2.5 I2V Preview | alibaba | ₽49.95/M | ₽49.95/M | ₽1 249 |
| Wan 2.5 T2V Preview | alibaba | ₽49.95/M | ₽49.95/M | ₽1 249 |
| Gpt 4.1 Mini | OpenAI | ₽33.30/M | ₽133/M | ₽1 332 |
| hunyuan code | hunyuan code | ₽45.61/M | ₽91.23/M | ₽1 368 |
| hunyuan functioncall | hunyuan functioncall | ₽45.61/M | ₽91.23/M | ₽1 368 |
| hunyuan role | hunyuan role | ₽45.61/M | ₽91.23/M | ₽1 368 |
| abab5.5s chat | abab5.5s chat | ₽57.02/M | ₽57.02/M | ₽1 425 |
| abab6.5g chat | abab6.5g chat | ₽57.02/M | ₽57.02/M | ₽1 425 |
| abab6.5t chat | abab6.5t chat | ₽57.02/M | ₽57.02/M | ₽1 425 |
| glm z1 airx | glm z1 airx | ₽57.02/M | ₽57.02/M | ₽1 425 |
| Qwen-VL OCR | Qwen | ₽57.02/M | ₽57.02/M | ₽1 425 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽23.95/M | ₽192/M | ₽1 437 |
| Glm 4.7 | glm 4.7 | ₽34.96/M | ₽163/M | ₽1 515 |
| Gemini Flash Latest | ₽24.97/M | ₽208/M | ₽1 541 | |
| DeepSeek V3.1 Terminus | DeepSeek | ₽45.61/M | ₽137/M | ₽1 596 |
| hunyuan large | hunyuan large | ₽45.61/M | ₽137/M | ₽1 596 |
| qwen math plus | Qwen | ₽45.61/M | ₽137/M | ₽1 596 |
| qwen3 235b a22b | Qwen | ₽45.61/M | ₽137/M | ₽1 596 |
| deepseek v3.1 | DeepSeek | ₽45.62/M | ₽137/M | ₽1 597 |
| yi vision v2 | yi vision v2 | ₽68.42/M | ₽68.42/M | ₽1 711 |
| DeepSeek Reasoner (R1) | DeepSeek | ₽45.61/M | ₽182/M | ₽1 825 |
| GLM 4.5 | Z.ai | ₽45.61/M | ₽182/M | ₽1 825 |
| GLM 4.6 | Z.ai | ₽45.61/M | ₽182/M | ₽1 825 |
| gpt oss 120b | OpenAI | ₽45.78/M | ₽183/M | ₽1 831 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽27.37/M | ₽274/M | ₽1 916 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽27.37/M | ₽274/M | ₽1 916 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽27.37/M | ₽274/M | ₽1 916 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽27.37/M | ₽274/M | ₽1 916 |
| MiniMax M1 | MiniMax | ₽27.37/M | ₽274/M | ₽1 916 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽47.90/M | ₽192/M | ₽1 916 |
| GLM-5 | glm 5 | ₽45.62/M | ₽205/M | ₽1 939 |
| gpt 4o mini realtime preview | OpenAI | ₽49.95/M | ₽200/M | ₽1 998 |
| gpt audio mini | OpenAI | ₽49.95/M | ₽200/M | ₽1 998 |
| qwen3 coder plus | Qwen | ₽51.23/M | ₽205/M | ₽2 049 |
| gemini 3 flash | ₽41.62/M | ₽250/M | ₽2 081 | |
| gemini 3.1 flash preview | ₽41.62/M | ₽250/M | ₽2 081 | |
| Kimi K2.5 | MoonshotAI | ₽45.61/M | ₽239/M | ₽2 110 |
| minimax m3 | MiniMax | ₽53.28/M | ₽213/M | ₽2 131 |
| Claude Sonnet 5.5 | Anthropic | ₽49.95/M | ₽250/M | ₽2 248 |
| doubao 1.5 vision lite 250315 | doubao 1.5 vision lite 250315 | ₽91.23/M | ₽91.23/M | ₽2 281 |
| Moonshot V1 32K | moonshot v1 32k | ₽57.02/M | ₽228/M | ₽2 281 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽57.02/M | ₽228/M | ₽2 281 |
| step 1 8k | step 1 8k | ₽57.02/M | ₽228/M | ₽2 281 |
| step 1v 8k | step 1v 8k | ₽57.02/M | ₽228/M | ₽2 281 |
| Claude Instant 1.2 | Anthropic | ₽66.60/M | ₽200/M | ₽2 331 |
| hunyuan large longcontext | hunyuan large longcontext | ₽68.42/M | ₽205/M | ₽2 395 |
| GPT 3.5 Turbo 1106 | OpenAI | ₽83.25/M | ₽166/M | ₽2 497 |
| Wan2.6 I2v | wan2.6 i2v | ₽99.89/M | ₽99.89/M | ₽2 497 |
| Wan2.6 T2v | wan2.6 t2v | ₽99.89/M | ₽99.89/M | ₽2 497 |
| Wan2.7 I2v | wan2.7 i2v | ₽99.89/M | ₽99.89/M | ₽2 497 |
| Wan2.7 T2v | wan2.7 t2v | ₽99.89/M | ₽99.89/M | ₽2 497 |
| Gemini 3.6 Flash | ₽62.43/M | ₽312/M | ₽2 810 | |
| Gemini 3.8 Flash | ₽62.43/M | ₽312/M | ₽2 810 | |
| glm 4 airx | glm 4 airx | ₽114/M | ₽114/M | ₽2 851 |
| GLM 4 Vision Plus | glm 4v plus | ₽114/M | ₽114/M | ₽2 851 |
| Glm 5.1 | glm 5.1 | ₽71.34/M | ₽285/M | ₽2 854 |
| mimo v2 pro | mimo v2 pro | ₽83.25/M | ₽250/M | ₽2 914 |
| wanx2.1 i2v plus | wanx2.1 i2v plus | ₽117/M | ₽117/M | ₽2 914 |
| wanx2.1 kf2v plus | wanx2.1 kf2v plus | ₽117/M | ₽117/M | ₽2 914 |
| wanx2.1 t2v plus | wanx2.1 t2v plus | ₽117/M | ₽117/M | ₽2 914 |
| gemini 2.0 flash thinking exp 1219 | ₽83.25/M | ₽333/M | ₽3 330 | |
| Claude Sonnet 4 | Anthropic | ₽74.92/M | ₽375/M | ₽3 371 |
| Claude Sonnet 4.5 | Anthropic | ₽74.92/M | ₽375/M | ₽3 371 |
| Claude Sonnet 4.6 | Anthropic | ₽74.92/M | ₽375/M | ₽3 371 |
| o1 mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| O3 Mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| o3 Mini High | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| o3 mini low | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| o3 mini medium | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| O4 Mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| Glm 5.2 | glm 5.2 | ₽99.89/M | ₽350/M | ₽3 746 |
| SparkDesk Pro | SparkDesk Pro | ₽160/M | ₽160/M | ₽3 991 |
| Moonshot V1 128K | moonshot v1 128k | ₽114/M | ₽342/M | ₽3 991 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽114/M | ₽342/M | ₽3 991 |
| codex auto review | codex auto review | ₽83.25/M | ₽499/M | ₽4 162 |
| gemini 3 pro | ₽83.25/M | ₽499/M | ₽4 162 | |
| Gpt 5.6 Luna | OpenAI | ₽83.25/M | ₽499/M | ₽4 162 |
| gemini 1.5 pro | ₽104/M | ₽416/M | ₽4 162 | |
| Deepseek V4 Pro | DeepSeek | ₽142/M | ₽283/M | ₽4 246 |
| KAT Dev 72B Exp | KAT Dev 72B Exp | ₽108/M | ₽433/M | ₽4 333 |
| Claude Opus 5 5 | Anthropic | ₽99.89/M | ₽499/M | ₽4 495 |
| KAT Coder | KAT Coder | ₽114/M | ₽456/M | ₽4 561 |
| Qvq 72B Preview | Qwen | ₽137/M | ₽411/M | ₽4 789 |
| Doubao Seed 2.0 Code Preview | ByteDance | ₽109/M | ₽547/M | ₽4 926 |
| Doubao Seed 2.0 Pro | ByteDance | ₽109/M | ₽547/M | ₽4 926 |
| qwen3.7 max | Qwen | ₽142/M | ₽425/M | ₽4 953 |
| codex mini | codex mini | ₽125/M | ₽499/M | ₽4 995 |
| Gemini 2.5 Flash Preview Tts | ₽41.62/M | ₽832/M | ₽4 995 | |
| abab5.5 chat | abab5.5 chat | ₽166/M | ₽333/M | ₽4 995 |
| kimi k2 thinking turbo | kimi k2 thinking turbo | ₽91.23/M | ₽661/M | ₽5 132 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽91.23/M | ₽661/M | ₽5 132 |
| hunyuan vision | hunyuan vision | ₽205/M | ₽205/M | ₽5 132 |
| Claude Opus 4 8 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| Claude Opus 4.5 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| Claude Opus 4.6 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| Claude Opus 5 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| Grok 4 | xAI | ₽125/M | ₽624/M | ₽5 619 |
| grok 4.5 | xAI | ₽166/M | ₽499/M | ₽5 827 |
| qwen 2.5 72b instruct | Qwen | ₽238/M | ₽238/M | ₽5 946 |
| qwen1.5 110b chat | qwen1.5 110b chat | ₽238/M | ₽238/M | ₽5 946 |
| qwen1.5 14b chat | qwen1.5 14b chat | ₽238/M | ₽238/M | ₽5 946 |
| qwen1.5 32b chat | qwen1.5 32b chat | ₽238/M | ₽238/M | ₽5 946 |
| qwen1.5 72b chat | qwen1.5 72b chat | ₽238/M | ₽238/M | ₽5 946 |
| qwen1.5 7b chat | qwen1.5 7b chat | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2 57B A14B Instruct | Qwen | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2 72B Instruct | Qwen | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2 7B Instruct | Qwen | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽238/M | ₽238/M | ₽5 946 |
| qwen2.5 coder 14b instruct | qwen2.5 coder 14b instruct | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2.5 Coder 32B Instruct | Qwen | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2.5 Coder 7B | Qwen | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽238/M | ₽238/M | ₽5 946 |
| Gemini 2.5 Computer Use Preview | ₽104/M | ₽832/M | ₽6 243 | |
| gemini 2.5 pro | ₽104/M | ₽832/M | ₽6 243 | |
| gemini 2.5 pro video | ₽104/M | ₽832/M | ₽6 243 | |
| Gemini 3.5 Flash | ₽125/M | ₽749/M | ₽6 243 | |
| Gemini Pro | ₽104/M | ₽832/M | ₽6 243 | |
| gpt 5 codex | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| Gpt 5 Search API | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| Gpt 5.1 | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5 | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5 Chat | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1 Chat | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1-Codex | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1-Codex-Max | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| hunyuan turbo | hunyuan turbo | ₽171/M | ₽570/M | ₽6 272 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽182/M | ₽547/M | ₽6 386 |
| Qwen2.5 VL 72B Instruct | Qwen | ₽182/M | ₽547/M | ₽6 386 |
| GPT-3.5 Turbo 16k | OpenAI | ₽250/M | ₽333/M | ₽6 659 |
| Gpt 4.1 | OpenAI | ₽166/M | ₽666/M | ₽6 660 |
| O3 | OpenAI | ₽166/M | ₽666/M | ₽6 660 |
| whisper 1 | OpenAI | ₽333/M | ₽333/M | ₽6 660 |
| Kimi K3 | kimi k3 | ₽250/M | ₽416/M | ₽7 076 |
| GLM 4.5 X | glm 4.5 x | ₽182/M | ₽730/M | ₽7 298 |
| step 1 32k | step 1 32k | ₽171/M | ₽798/M | ₽7 412 |
| step 1o vision 32k | step 1o vision 32k | ₽171/M | ₽798/M | ₽7 412 |
| step 1v 32k | step 1v 32k | ₽171/M | ₽798/M | ₽7 412 |
| SparkDesk Pro 128K | SparkDesk Pro 128K | ₽296/M | ₽296/M | ₽7 412 |
| Claude Sonnet 5 | Anthropic | ₽166/M | ₽832/M | ₽7 492 |
| Gpt 6 Sol | OpenAI | ₽166/M | ₽832/M | ₽7 492 |
| gpt 6.1 sol | OpenAI | ₽166/M | ₽832/M | ₽7 492 |
| Grok 3 | xAI | ₽250/M | ₽499/M | ₽7 492 |
| ERNIE 4.0 Turbo 128K | ERNIE 4.0 Turbo 128K | ₽228/M | ₽684/M | ₽7 982 |
| ERNIE 4.0 Turbo 8K | ERNIE 4.0 Turbo 8K | ₽228/M | ₽684/M | ₽7 982 |
| Gemini 3.1 Pro | ₽166/M | ₽999/M | ₽8 325 | |
| gemini 3.1 pro high | ₽166/M | ₽999/M | ₽8 325 | |
| Gemini 3.1 Pro Preview Custom Tools | ₽166/M | ₽999/M | ₽8 325 | |
| gemini 2.0 pro exp | ₽208/M | ₽832/M | ₽8 325 | |
| GPT 4o Audio Preview | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| gpt audio | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| gpt audio 1.5 | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| gpt image 1 mini | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| GPT-4o | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| Gpt 5.2 | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| gpt 5.3 codex | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT-5.2 Chat | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT-5.2-Codex | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT-5.3 Chat | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| Gemini 2.5 Pro Preview Tts | ₽83.25/M | ₽1 665/M | ₽9 989 | |
| Gemini 3.1 Flash TTS | ₽83.25/M | ₽1 665/M | ₽9 989 | |
| Gpt 5.4 | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| Gpt 5.6 Terra | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| claude fable 5 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| Claude Fable 5 1 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| Sonnet 3 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| Sonnet 3.5 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| Sonnet 3.7 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| ERNIE 4.0 8K | ERNIE 4.0 8K | ₽342/M | ₽1 026/M | ₽11 974 |
| hunyuan pro | hunyuan pro | ₽342/M | ₽1 140/M | ₽12 544 |
| gpt realtime | OpenAI | ₽333/M | ₽1 332/M | ₽13 319 |
| GLM 4 Plus | glm 4 plus | ₽570/M | ₽570/M | ₽14 254 |
| GLM 4 Vision | glm 4v | ₽570/M | ₽570/M | ₽14 254 |
| Step 2 16K | step 2 16k | ₽433/M | ₽1 368/M | ₽15 509 |
| ERNIE Novel 8K | ERNIE Novel 8K | ₽456/M | ₽1 368/M | ₽15 965 |
| GPT Realtime 2.1 | OpenAI | ₽333/M | ₽1 998/M | ₽16 649 |
| gpt 4o realtime preview | OpenAI | ₽416/M | ₽1 665/M | ₽16 649 |
| Claude Opus 4 | Anthropic | ₽375/M | ₽1 873/M | ₽16 857 |
| SparkDesk Max | SparkDesk Max | ₽684/M | ₽684/M | ₽17 105 |
| Claude Opus 4.7 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| 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 | 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 |
| gpt image 2.5 flare | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 2.5 sunburst | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 1.5 | OpenAI | ₽416/M | ₽2 664/M | ₽21 644 |
| hunyuan turbo vision | hunyuan turbo vision | ₽912/M | ₽912/M | ₽22 807 |
| SparkDesk Max 32k | SparkDesk Max 32k | ₽1 026/M | ₽1 026/M | ₽25 658 |
| step tts mini | step tts mini | ₽1 026/M | ₽1 026/M | ₽25 658 |
| GLM 4 | glm 4 | ₽1 140/M | ₽1 140/M | ₽28 509 |
| sambert v1 | sambert v1 | ₽1 140/M | ₽1 140/M | ₽28 509 |
| SenseVoiceSmall | SenseVoiceSmall | ₽1 140/M | ₽1 140/M | ₽28 509 |
| gpt 4 | OpenAI | ₽832/M | ₽2 497/M | ₽29 136 |
| GPT 4 1106 Preview | OpenAI | ₽832/M | ₽2 497/M | ₽29 136 |
| gpt 4 turbo | OpenAI | ₽832/M | ₽2 497/M | ₽29 136 |
| gpt 4 vision | OpenAI | ₽832/M | ₽2 497/M | ₽29 136 |
| O3 Deep Research | OpenAI | ₽832/M | ₽3 330/M | ₽33 298 |
| Gpt 6 Astra | OpenAI | ₽832/M | ₽4 162/M | ₽37 460 |
| SparkDesk 4.0 Ultra | SparkDesk 4.0 Ultra | ₽1 596/M | ₽1 596/M | ₽39 912 |
| Text Davinci 002 | text davinci 002 | ₽1 665/M | ₽1 665/M | ₽41 623 |
| gpt image 1 | OpenAI | ₽832/M | ₽6 660/M | ₽49 947 |
| O1 | OpenAI | ₽1 249/M | ₽4 995/M | ₽49 947 |
| claude 3 opus latest | Anthropic | ₽1 249/M | ₽6 243/M | ₽56 191 |
| speech 01 turbo | speech 01 turbo | ₽2 281/M | ₽2 281/M | ₽57 017 |
| speech 02 turbo | speech 02 turbo | ₽2 281/M | ₽2 281/M | ₽57 017 |
| o3 Pro | OpenAI | ₽1 665/M | ₽6 660/M | ₽66 596 |
| GPT-5 Pro | OpenAI | ₽1 249/M | ₽9 989/M | ₽74 921 |
| Dall E 2 | dall e 2 | ₽3 330/M | ₽3 330/M | ₽83 245 |
| DALL E 3 | DALL E 3 | ₽3 330/M | ₽3 330/M | ₽83 245 |
| paraformer realtime v2 | paraformer realtime v2 | ₽3 991/M | ₽3 991/M | ₽99 780 |
| speech 01 hd | speech 01 hd | ₽3 991/M | ₽3 991/M | ₽99 780 |
| speech 02 hd | speech 02 hd | ₽3 991/M | ₽3 991/M | ₽99 780 |
| GPT-5.2 Pro | OpenAI | ₽1 748/M | ₽13 985/M | ₽104 889 |
| gpt 5.4 pro | OpenAI | ₽2 497/M | ₽14 984/M | ₽124 868 |
| Gpt 5.5 Pro | OpenAI | ₽2 497/M | ₽14 984/M | ₽124 868 |
| Doubao tts | Doubao tts | ₽5 702/M | ₽5 702/M | ₽142 543 |
| gpt 4 32k | OpenAI | ₽4 995/M | ₽9 989/M | ₽149 842 |
| gpt 4.5 preview | OpenAI | ₽6 243/M | ₽12 487/M | ₽187 302 |
| step 1 256k | step 1 256k | ₽10 833/M | ₽3 421/M | ₽233 771 |
| o1-pro | OpenAI | ₽12 487/M | ₽49 947/M | ₽499 472 |
| parse pdf | parse pdf | ₽228 070/M | ₽228 070/M | ₽5 701 740 |
Изображения
за изображение · 14
▼
Изображения
за изображение · 14
| Модель | Maker | Цена |
|---|---|---|
| gemini 2.5 flash image | ₽1.66/изобр. | |
| gpt 4o image | OpenAI | ₽1.66/изобр. |
| Z-Image Turbo | alibaba | ₽2.29/изобр. |
| Qwen Image 2.0 | Qwen | ₽2.38/изобр. |
| Qwen Image Edit Plus | Qwen | ₽2.38/изобр. |
| Wan 2.7 Image | alibaba | ₽2.38/изобр. |
| doubao seedream 5 0 260128 | doubao seedream 5 0 260128 | ₽2.50/изобр. |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽2.91/изобр. |
| Qwen Image 2.0 Pro | Qwen | ₽5.94/изобр. |
| Qwen Image Edit Max | Qwen | ₽5.94/изобр. |
| Qwen Image Max | Qwen | ₽5.94/изобр. |
| Wan 2.7 Image Pro | alibaba | ₽5.94/изобр. |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽8.32/изобр. | |
| gemini 3 pro image preview 2k | ₽9.16/изобр. |
За запрос
фиксированная цена за вызов · 15
▼
За запрос
фиксированная цена за вызов · 15
| Модель | Maker | Цена |
|---|---|---|
| glm 4.5 flash | glm 4.5 flash | ₽0.0083/вызов |
| mita chat · fast-document | mita chat | ₽0.17/вызов |
| mita chat · fast-podcast | mita chat | ₽0.17/вызов |
| mita chat · fast-scholar | mita chat | ₽0.17/вызов |
| mita chat · fast-web | mita chat | ₽0.17/вызов |
| mita chat · fast-video-thinking | mita chat | ₽0.33/вызов |
| mita chat · ds-r1-document | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-podcast | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-scholar | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-video | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-web | mita chat | ₽1.66/вызов |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽24.97/вызов |
| veo 2.0 generate 001 | veo 2.0 generate 001 | ₽41.62/вызов |
| veo 3.0 fast generate 001 | veo 3.0 fast generate 001 | ₽49.95/вызов |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽266/вызов |
Без публичной цены
нет данных в открытых источниках · 17
▼
Без публичной цены
нет данных в открытых источниках · 17
| Модель | Maker | Примечание |
|---|---|---|
| gemini 2.0 flash exp image | — | |
| gemini robotics er 2 preview | — | |
| GPT Chat Latest | OpenAI | — |
| Grok Build 0.1 | xAI | — |
| Jev 1.13 | jev 1.13.0 | — |
| Jev 1.13 | jev | — |
| Jina Reader | jina reader | — |
| Jina Search | jina search | — |
| Qwen-MT Flash | Qwen | — |
| Qwen-MT Lite | Qwen | — |
| Qwen-Omni Turbo | Qwen | — |
| Qwen3 32B | Qwen | — |
| tavily crawl | tavily crawl | — |
| tavily extract | tavily extract | — |
| tavily map | tavily map | — |
| tavily search | tavily search | — |
| Wan 2.2 Animate Move | alibaba | — |
Текст и чат
оплата за токены · 392
▼
Текст и чат
оплата за токены · 392
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| glm 4.6v flash | glm 4.6v flash | ₽0.0083/M | ₽0.0083/M | ₽0 |
| gpt 4o mini transcribe | OpenAI | ₽0.50/M | ₽2.00/M | ₽20 |
| codegeex 4 | codegeex 4 | ₽1.14/M | ₽1.14/M | ₽29 |
| ERNIE Speed 8K | ERNIE Speed 8K | ₽1.14/M | ₽1.14/M | ₽29 |
| ERNIE Tiny 8K | ERNIE Tiny 8K | ₽1.14/M | ₽1.14/M | ₽29 |
| GLM 4 Flash | glm 4 flash | ₽1.14/M | ₽1.14/M | ₽29 |
| glm 4 flashx | glm 4 flashx | ₽1.14/M | ₽1.14/M | ₽29 |
| GLM 4V Flash | GLM 4V Flash | ₽1.14/M | ₽1.14/M | ₽29 |
| glm z1 flash | glm z1 flash | ₽1.14/M | ₽1.14/M | ₽29 |
| hunyuan lite | hunyuan lite | ₽1.14/M | ₽1.14/M | ₽29 |
| Jina Embeddings V3 | jina embeddings v3 | ₽1.14/M | ₽1.14/M | ₽29 |
| gpt 4o transcribe | OpenAI | ₽1.00/M | ₽4.00/M | ₽40 |
| text embedding 3 small | OpenAI | ₽1.66/M | ₽1.66/M | ₽42 |
| jina clip v1 | jina clip v1 | ₽1.71/M | ₽1.71/M | ₽43 |
| jina colbert v1 en | jina colbert v1 en | ₽1.71/M | ₽1.71/M | ₽43 |
| Jina Embeddings V2 Base Code | jina embeddings v2 base code | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base de | jina embeddings v2 base de | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base en | jina embeddings v2 base en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base es | jina embeddings v2 base es | ₽1.71/M | ₽1.71/M | ₽43 |
| jina embeddings v2 base zh | jina embeddings v2 base zh | ₽1.71/M | ₽1.71/M | ₽43 |
| Jina Reranker M0 | jina reranker m0 | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v1 base en | jina reranker v1 base en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v1 tiny en | jina reranker v1 tiny en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v1 turbo en | jina reranker v1 turbo en | ₽1.71/M | ₽1.71/M | ₽43 |
| jina reranker v2 base multilingual | jina reranker v2 base multilingual | ₽1.71/M | ₽1.71/M | ₽43 |
| tts 1 | OpenAI | ₽2.50/M | ₽2.50/M | ₽62 |
| Tts 1 1106 | tts 1 1106 | ₽2.50/M | ₽2.50/M | ₽62 |
| ERNIE Lite Pro 128K | ERNIE Lite Pro 128K | ₽2.28/M | ₽4.56/M | ₽68 |
| gpt 4o mini tts | OpenAI | ₽2.50/M | ₽9.99/M | ₽100 |
| doubao 1 5 lite 32k 250115 | doubao 1 5 lite 32k 250115 | ₽3.42/M | ₽6.84/M | ₽103 |
| Doubao 1.5 Lite 32K | Doubao 1.5 lite 32k | ₽3.42/M | ₽6.84/M | ₽103 |
| ERNIE Character 8K | ERNIE Character 8K | ₽3.42/M | ₽6.84/M | ₽103 |
| ERNIE Character Fiction 8K | ERNIE Character Fiction 8K | ₽3.42/M | ₽6.84/M | ₽103 |
| ERNIE Speed Pro 128K | ERNIE Speed Pro 128K | ₽3.42/M | ₽6.84/M | ₽103 |
| Qwen Turbo | Qwen | ₽3.42/M | ₽6.84/M | ₽103 |
| gemini 1.5 flash 8b | ₽3.12/M | ₽12.49/M | ₽125 | |
| tts 1 hd | OpenAI | ₽4.99/M | ₽4.99/M | ₽125 |
| Tts 1 Hd 1106 | tts 1 hd 1106 | ₽4.99/M | ₽4.99/M | ₽125 |
| Gemini 2.0 Flash | ₽3.33/M | ₽13.32/M | ₽133 | |
| Qwen Flash Character | Qwen | ₽1.92/M | ₽19.21/M | ₽134 |
| Qwen3 0.6b | qwen3 0.6b | ₽3.42/M | ₽13.68/M | ₽137 |
| Qwen3 1.7b | qwen3 1.7b | ₽3.42/M | ₽13.68/M | ₽137 |
| Qwen3 4B | qwen3 4b | ₽3.42/M | ₽13.68/M | ₽137 |
| Bce Reranker Base | bce reranker base | ₽5.70/M | ₽5.70/M | ₽143 |
| Bge Large En | bge large en | ₽5.70/M | ₽5.70/M | ₽143 |
| Bge Large Zh | bge large zh | ₽5.70/M | ₽5.70/M | ₽143 |
| Doubao Embedding Text 240715 | doubao embedding text 240715 | ₽5.70/M | ₽5.70/M | ₽143 |
| Embedding 2 | embedding 2 | ₽5.70/M | ₽5.70/M | ₽143 |
| Embedding 3 | embedding 3 | ₽5.70/M | ₽5.70/M | ₽143 |
| Embedding V1 | embedding 001 | ₽5.70/M | ₽5.70/M | ₽143 |
| glm z1 air | glm z1 air | ₽5.70/M | ₽5.70/M | ₽143 |
| Qwen Text Embedding v3 | Qwen | ₽5.70/M | ₽5.70/M | ₽143 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽5.70/M | ₽5.70/M | ₽143 |
| qwen3-embedding-0.6b | Qwen | ₽5.70/M | ₽5.70/M | ₽143 |
| Tao 8K | tao 8k | ₽5.70/M | ₽5.70/M | ₽143 |
| doubao embedding large text 250515 | doubao embedding large text 250515 | ₽7.98/M | ₽7.98/M | ₽200 |
| doubao embedding vision 241215 | doubao embedding vision 241215 | ₽7.98/M | ₽7.98/M | ₽200 |
| doubao embedding vision 250328 | doubao embedding vision 250328 | ₽7.98/M | ₽7.98/M | ₽200 |
| doubao embedding vision 250615 | doubao embedding vision 250615 | ₽7.98/M | ₽7.98/M | ₽200 |
| gte rerank | gte rerank | ₽7.98/M | ₽7.98/M | ₽200 |
| hunyuan embedding | hunyuan embedding | ₽7.98/M | ₽7.98/M | ₽200 |
| Sora 2 | Sora 2 | ₽8.32/M | ₽8.32/M | ₽208 |
| Text Embedding ADA | text embedding ada | ₽8.32/M | ₽8.32/M | ₽208 |
| Qwen Long | Qwen | ₽5.70/M | ₽22.81/M | ₽228 |
| Qwen3 8B | Qwen | ₽5.70/M | ₽22.81/M | ₽228 |
| gemini 1.5 flash | ₽6.24/M | ₽24.97/M | ₽250 | |
| Gemini 2.0 Flash-Lite | ₽6.24/M | ₽24.97/M | ₽250 | |
| GPT-5 Nano | OpenAI | ₽4.16/M | ₽33.30/M | ₽250 |
| bge reranker v2 m3 | bge reranker v2 m3 | ₽10.26/M | ₽10.26/M | ₽257 |
| text embedding 3 large | OpenAI | ₽10.82/M | ₽10.82/M | ₽271 |
| Qwen-MT Turbo | Qwen | ₽7.98/M | ₽22.24/M | ₽271 |
| claude 3 5 haiku latest | Anthropic | ₽6.24/M | ₽31.22/M | ₽281 |
| yi lightning | yi lightning | ₽11.29/M | ₽11.29/M | ₽282 |
| abab6.5s chat | abab6.5s chat | ₽11.40/M | ₽11.40/M | ₽285 |
| charglm 4 | charglm 4 | ₽11.40/M | ₽11.40/M | ₽285 |
| GLM 3 Turbo | glm 3 turbo | ₽11.40/M | ₽11.40/M | ₽285 |
| glm 4 air | glm 4 air | ₽11.40/M | ₽11.40/M | ₽285 |
| GLM 4 Long | GLM 4 Long | ₽11.40/M | ₽11.40/M | ₽285 |
| SparkDesk Lite | SparkDesk Lite | ₽11.40/M | ₽11.40/M | ₽285 |
| Doubao 1.5 Pro 32K | Doubao 1.5 pro 32k | ₽9.12/M | ₽22.81/M | ₽296 |
| Doubao 1.5 Pro 32K 250115 | doubao 1 5 pro 32k 250115 | ₽9.12/M | ₽22.81/M | ₽296 |
| ERNIE 3.5 128K | ERNIE 3.5 128K | ₽9.12/M | ₽22.81/M | ₽296 |
| ERNIE 3.5 8K | ERNIE 3.5 8K | ₽9.12/M | ₽22.81/M | ₽296 |
| hunyuan standard | hunyuan standard | ₽9.12/M | ₽22.81/M | ₽296 |
| hunyuan turbos latest | hunyuan turbos 20250226 | ₽9.12/M | ₽22.81/M | ₽296 |
| Qwen Plus | Qwen | ₽9.12/M | ₽22.81/M | ₽297 |
| gemini embedding exp | ₽12.49/M | ₽12.49/M | ₽312 | |
| Gemini 2.5 Flash | ₽8.32/M | ₽33.30/M | ₽333 | |
| gemini 2.5 flash lite | ₽8.32/M | ₽33.30/M | ₽333 | |
| Gemini Flash-Lite Latest | ₽8.32/M | ₽33.30/M | ₽333 | |
| Gpt 4.1 Nano | OpenAI | ₽8.32/M | ₽33.30/M | ₽333 |
| KAT Coder Exp 72B 1010 | KAT Coder Exp 72B 1010 | ₽16.65/M | ₽1.66/M | ₽341 |
| step 2 mini | step 2 mini | ₽11.40/M | ₽22.81/M | ₽342 |
| ERNIE 4.5 Turbo 128k | ERNIE 4.5 Turbo 128k | ₽9.12/M | ₽36.49/M | ₽365 |
| ERNIE 4.5 Turbo 32k | ERNIE 4.5 Turbo 32k | ₽9.12/M | ₽36.49/M | ₽365 |
| Gpt 6 Luna | OpenAI | ₽8.32/M | ₽41.62/M | ₽375 |
| Gemini Embedding 2 | ₽16.65/M | ₽16.65/M | ₽416 | |
| KAT Coder Air V1 | KAT Coder Air V1 | ₽16.65/M | ₽16.65/M | ₽416 |
| KAT Coder Pro V1 | KAT Coder Pro V1 | ₽16.65/M | ₽16.65/M | ₽416 |
| Omni Moderation | omni moderation latest | ₽16.65/M | ₽16.65/M | ₽416 |
| Wan 2.2 I2V Flash | alibaba | ₽16.65/M | ₽16.65/M | ₽416 |
| Wan 2.2 KF2V Flash | alibaba | ₽16.65/M | ₽16.65/M | ₽416 |
| deepseek ai · DeepSeek-R1 | DeepSeek | ₽11.15/M | ₽44.62/M | ₽446 |
| hunyuan t1 | hunyuan t1 | ₽11.40/M | ₽45.61/M | ₽456 |
| Qwen3 14B | Qwen | ₽11.40/M | ₽45.61/M | ₽456 |
| qwen3.5 plus | qwen3.5 plus | ₽9.12/M | ₽54.74/M | ₽456 |
| Doubao Seed 1.6 Flash | ByteDance | ₽6.84/M | ₽68.42/M | ₽479 |
| Doubao Seed 1.6 Flash 250615 | doubao seed 1 6 flash 250615 | ₽6.84/M | ₽68.42/M | ₽479 |
| qwen2.5 vl 3b instruct | qwen2.5 vl 3b instruct | ₽13.68/M | ₽41.05/M | ₽479 |
| Qwen3-VL Flash | alibaba | ₽6.84/M | ₽68.42/M | ₽479 |
| gemini 2.5 flash preview native audio dialog | ₽12.49/M | ₽49.95/M | ₽499 | |
| GPT-4o Mini | OpenAI | ₽12.49/M | ₽49.95/M | ₽499 |
| Qwen3 Coder Flash | Qwen | ₽12.81/M | ₽51.23/M | ₽512 |
| DeepSeek-V3 | DeepSeek | ₽13.32/M | ₽53.28/M | ₽533 |
| Qwq 32b | Qwen | ₽23.31/M | ₽23.31/M | ₽583 |
| Wan 2.2 I2V Plus | alibaba | ₽23.31/M | ₽23.31/M | ₽583 |
| Wan 2.2 T2V Plus | alibaba | ₽23.31/M | ₽23.31/M | ₽583 |
| Qwen-VL Plus | Qwen | ₽17.11/M | ₽54.74/M | ₽616 |
| Gpt 5.4 Mini | OpenAI | ₽12.49/M | ₽74.92/M | ₽624 |
| Sora 2 Pro | sora 2 pro | ₽24.97/M | ₽24.97/M | ₽624 |
| deepseek reasoner v3.2 | DeepSeek | ₽22.81/M | ₽34.21/M | ₽627 |
| deepseek v3.2 | DeepSeek | ₽22.81/M | ₽34.21/M | ₽627 |
| DeepSeek V3.2 Speciale | DeepSeek | ₽22.81/M | ₽34.21/M | ₽627 |
| doubao 1 5 thinking pro 250415 | doubao 1 5 thinking pro 250415 | ₽9.12/M | ₽91.23/M | ₽639 |
| doubao seed 2 0 mini 260215 | doubao seed 2 0 mini 260215 | ₽9.12/M | ₽91.24/M | ₽639 |
| deepseek r1 | DeepSeek | ₽16.65/M | ₽66.60/M | ₽666 |
| MiniMax Text 01 | MiniMax Text 01 | ₽11.40/M | ₽91.23/M | ₽684 |
| Qwen3 30B A3B | Qwen | ₽17.11/M | ₽68.42/M | ₽684 |
| deepseek v4 flash | DeepSeek | ₽23.31/M | ₽46.62/M | ₽699 |
| Qwen-MT Plus | Qwen | ₽20.53/M | ₽61.58/M | ₽718 |
| GLM 4.5 Air | Z.ai | ₽13.68/M | ₽91.23/M | ₽730 |
| GLM 4.5 Airx | glm 4.5 airx | ₽13.68/M | ₽91.23/M | ₽730 |
| qwen2.5 vl 7b instruct | qwen2.5 vl 7b instruct | ₽22.81/M | ₽57.02/M | ₽741 |
| Grok 3 Mini | xAI | ₽24.97/M | ₽49.95/M | ₽749 |
| glm 4.6v | Z.ai | ₽22.81/M | ₽68.42/M | ₽798 |
| qwen coder turbo | Qwen | ₽22.81/M | ₽68.42/M | ₽798 |
| qwen math turbo | Qwen | ₽22.81/M | ₽68.42/M | ₽798 |
| Gpt 5.4 Nano | OpenAI | ₽16.65/M | ₽104/M | ₽853 |
| Qwen3-VL Plus | alibaba | ₽12.81/M | ₽128/M | ₽896 |
| DeepSeek Chat (V3) | DeepSeek | ₽22.81/M | ₽91.23/M | ₽912 |
| Claude 3 Haiku | Anthropic | ₽20.81/M | ₽104/M | ₽937 |
| MiniMax M2.1 | MiniMax | ₽23.94/M | ₽95.77/M | ₽958 |
| MiniMax M2.5 | MiniMax | ₽23.94/M | ₽95.77/M | ₽958 |
| MiniMax M2 | MiniMax | ₽23.95/M | ₽95.79/M | ₽958 |
| Qwen Flash | Qwen | ₽13.68/M | ₽137/M | ₽958 |
| wanx2.1 i2v turbo | wanx2.1 i2v turbo | ₽39.96/M | ₽39.96/M | ₽999 |
| wanx2.1 t2v turbo | wanx2.1 t2v turbo | ₽39.96/M | ₽39.96/M | ₽999 |
| Moonshot V1 8K | moonshot v1 8k | ₽22.81/M | ₽114/M | ₽1 026 |
| Moonshot V1 8K Vision Preview | moonshot v1 8k vision preview | ₽22.81/M | ₽114/M | ₽1 026 |
| step 1o turbo vision | step 1o turbo vision | ₽28.51/M | ₽91.23/M | ₽1 026 |
| step r1 v mini | step r1 v mini | ₽28.51/M | ₽91.23/M | ₽1 026 |
| Doubao Seed 2.0 Lite 260215 | doubao seed 2 0 lite 260215 | ₽20.53/M | ₽123/M | ₽1 026 |
| Gemini 3.1 Flash Lite | ₽20.81/M | ₽125/M | ₽1 041 | |
| Qwen Max | Qwen | ₽27.37/M | ₽109/M | ₽1 095 |
| Claude Haiku 4.5 | Anthropic | ₽24.97/M | ₽125/M | ₽1 124 |
| Qwen3 Max | qwen3 max | ₽28.50/M | ₽114/M | ₽1 140 |
| Kimi K2 0711 | MoonshotAI | ₽28.97/M | ₽116/M | ₽1 159 |
| Qwen3.6 Plus | Qwen | ₽23.31/M | ₽140/M | ₽1 165 |
| Doubao 1.5 Thinking Vision Pro 250428 | doubao 1 5 thinking vision pro 250428 | ₽34.21/M | ₽103/M | ₽1 197 |
| doubao 1.5 vision pro 250328 | doubao 1.5 vision pro 250328 | ₽34.21/M | ₽103/M | ₽1 197 |
| Doubao 1.5 Vision Pro 32K | Doubao 1.5 vision pro 32k | ₽34.21/M | ₽103/M | ₽1 197 |
| ERNIE 4.5 Turbo VL | ernie 4.5 turbo vl | ₽34.21/M | ₽103/M | ₽1 197 |
| Qwen-VL Max | Qwen | ₽34.21/M | ₽103/M | ₽1 197 |
| qwen coder plus | Qwen | ₽39.91/M | ₽79.82/M | ₽1 197 |
| GPT-5 Mini | OpenAI | ₽20.81/M | ₽166/M | ₽1 249 |
| GPT-5.1-Codex-Mini | OpenAI | ₽20.81/M | ₽166/M | ₽1 249 |
| gpt 3.5 turbo | OpenAI | ₽41.62/M | ₽83.25/M | ₽1 249 |
| Wan 2.5 I2V Preview | alibaba | ₽49.95/M | ₽49.95/M | ₽1 249 |
| Wan 2.5 T2V Preview | alibaba | ₽49.95/M | ₽49.95/M | ₽1 249 |
| Gpt 4.1 Mini | OpenAI | ₽33.30/M | ₽133/M | ₽1 332 |
| hunyuan code | hunyuan code | ₽45.61/M | ₽91.23/M | ₽1 368 |
| hunyuan functioncall | hunyuan functioncall | ₽45.61/M | ₽91.23/M | ₽1 368 |
| hunyuan role | hunyuan role | ₽45.61/M | ₽91.23/M | ₽1 368 |
| abab5.5s chat | abab5.5s chat | ₽57.02/M | ₽57.02/M | ₽1 425 |
| abab6.5g chat | abab6.5g chat | ₽57.02/M | ₽57.02/M | ₽1 425 |
| abab6.5t chat | abab6.5t chat | ₽57.02/M | ₽57.02/M | ₽1 425 |
| glm z1 airx | glm z1 airx | ₽57.02/M | ₽57.02/M | ₽1 425 |
| Qwen-VL OCR | Qwen | ₽57.02/M | ₽57.02/M | ₽1 425 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽23.95/M | ₽192/M | ₽1 437 |
| Glm 4.7 | glm 4.7 | ₽34.96/M | ₽163/M | ₽1 515 |
| Gemini Flash Latest | ₽24.97/M | ₽208/M | ₽1 541 | |
| DeepSeek V3.1 Terminus | DeepSeek | ₽45.61/M | ₽137/M | ₽1 596 |
| hunyuan large | hunyuan large | ₽45.61/M | ₽137/M | ₽1 596 |
| qwen math plus | Qwen | ₽45.61/M | ₽137/M | ₽1 596 |
| qwen3 235b a22b | Qwen | ₽45.61/M | ₽137/M | ₽1 596 |
| deepseek v3.1 | DeepSeek | ₽45.62/M | ₽137/M | ₽1 597 |
| yi vision v2 | yi vision v2 | ₽68.42/M | ₽68.42/M | ₽1 711 |
| DeepSeek Reasoner (R1) | DeepSeek | ₽45.61/M | ₽182/M | ₽1 825 |
| GLM 4.5 | Z.ai | ₽45.61/M | ₽182/M | ₽1 825 |
| GLM 4.6 | Z.ai | ₽45.61/M | ₽182/M | ₽1 825 |
| gpt oss 120b | OpenAI | ₽45.78/M | ₽183/M | ₽1 831 |
| doubao seed 1 6 251015 | doubao seed 1 6 251015 | ₽27.37/M | ₽274/M | ₽1 916 |
| doubao seed 1 8 251228 | doubao seed 1 8 251228 | ₽27.37/M | ₽274/M | ₽1 916 |
| Doubao Seed 1.6 | doubao seed 1 6 | ₽27.37/M | ₽274/M | ₽1 916 |
| Doubao Seed 1.6 250615 | doubao seed 1 6 250615 | ₽27.37/M | ₽274/M | ₽1 916 |
| MiniMax M1 | MiniMax | ₽27.37/M | ₽274/M | ₽1 916 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽47.90/M | ₽192/M | ₽1 916 |
| GLM-5 | glm 5 | ₽45.62/M | ₽205/M | ₽1 939 |
| gpt 4o mini realtime preview | OpenAI | ₽49.95/M | ₽200/M | ₽1 998 |
| gpt audio mini | OpenAI | ₽49.95/M | ₽200/M | ₽1 998 |
| qwen3 coder plus | Qwen | ₽51.23/M | ₽205/M | ₽2 049 |
| gemini 3 flash | ₽41.62/M | ₽250/M | ₽2 081 | |
| gemini 3.1 flash preview | ₽41.62/M | ₽250/M | ₽2 081 | |
| Kimi K2.5 | MoonshotAI | ₽45.61/M | ₽239/M | ₽2 110 |
| minimax m3 | MiniMax | ₽53.28/M | ₽213/M | ₽2 131 |
| Claude Sonnet 5.5 | Anthropic | ₽49.95/M | ₽250/M | ₽2 248 |
| doubao 1.5 vision lite 250315 | doubao 1.5 vision lite 250315 | ₽91.23/M | ₽91.23/M | ₽2 281 |
| Moonshot V1 32K | moonshot v1 32k | ₽57.02/M | ₽228/M | ₽2 281 |
| Moonshot V1 32K Vision Preview | moonshot v1 32k vision preview | ₽57.02/M | ₽228/M | ₽2 281 |
| step 1 8k | step 1 8k | ₽57.02/M | ₽228/M | ₽2 281 |
| step 1v 8k | step 1v 8k | ₽57.02/M | ₽228/M | ₽2 281 |
| Claude Instant 1.2 | Anthropic | ₽66.60/M | ₽200/M | ₽2 331 |
| hunyuan large longcontext | hunyuan large longcontext | ₽68.42/M | ₽205/M | ₽2 395 |
| GPT 3.5 Turbo 1106 | OpenAI | ₽83.25/M | ₽166/M | ₽2 497 |
| Wan2.6 I2v | wan2.6 i2v | ₽99.89/M | ₽99.89/M | ₽2 497 |
| Wan2.6 T2v | wan2.6 t2v | ₽99.89/M | ₽99.89/M | ₽2 497 |
| Wan2.7 I2v | wan2.7 i2v | ₽99.89/M | ₽99.89/M | ₽2 497 |
| Wan2.7 T2v | wan2.7 t2v | ₽99.89/M | ₽99.89/M | ₽2 497 |
| Gemini 3.6 Flash | ₽62.43/M | ₽312/M | ₽2 810 | |
| Gemini 3.8 Flash | ₽62.43/M | ₽312/M | ₽2 810 | |
| glm 4 airx | glm 4 airx | ₽114/M | ₽114/M | ₽2 851 |
| GLM 4 Vision Plus | glm 4v plus | ₽114/M | ₽114/M | ₽2 851 |
| Glm 5.1 | glm 5.1 | ₽71.34/M | ₽285/M | ₽2 854 |
| mimo v2 pro | mimo v2 pro | ₽83.25/M | ₽250/M | ₽2 914 |
| wanx2.1 i2v plus | wanx2.1 i2v plus | ₽117/M | ₽117/M | ₽2 914 |
| wanx2.1 kf2v plus | wanx2.1 kf2v plus | ₽117/M | ₽117/M | ₽2 914 |
| wanx2.1 t2v plus | wanx2.1 t2v plus | ₽117/M | ₽117/M | ₽2 914 |
| gemini 2.0 flash thinking exp 1219 | ₽83.25/M | ₽333/M | ₽3 330 | |
| Claude Sonnet 4 | Anthropic | ₽74.92/M | ₽375/M | ₽3 371 |
| Claude Sonnet 4.5 | Anthropic | ₽74.92/M | ₽375/M | ₽3 371 |
| Claude Sonnet 4.6 | Anthropic | ₽74.92/M | ₽375/M | ₽3 371 |
| o1 mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| O3 Mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| o3 Mini High | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| o3 mini low | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| o3 mini medium | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| O4 Mini | OpenAI | ₽91.57/M | ₽366/M | ₽3 663 |
| Glm 5.2 | glm 5.2 | ₽99.89/M | ₽350/M | ₽3 746 |
| SparkDesk Pro | SparkDesk Pro | ₽160/M | ₽160/M | ₽3 991 |
| Moonshot V1 128K | moonshot v1 128k | ₽114/M | ₽342/M | ₽3 991 |
| Moonshot V1 128K Vision Preview | moonshot v1 128k vision preview | ₽114/M | ₽342/M | ₽3 991 |
| codex auto review | codex auto review | ₽83.25/M | ₽499/M | ₽4 162 |
| gemini 3 pro | ₽83.25/M | ₽499/M | ₽4 162 | |
| Gpt 5.6 Luna | OpenAI | ₽83.25/M | ₽499/M | ₽4 162 |
| gemini 1.5 pro | ₽104/M | ₽416/M | ₽4 162 | |
| Deepseek V4 Pro | DeepSeek | ₽142/M | ₽283/M | ₽4 246 |
| KAT Dev 72B Exp | KAT Dev 72B Exp | ₽108/M | ₽433/M | ₽4 333 |
| Claude Opus 5 5 | Anthropic | ₽99.89/M | ₽499/M | ₽4 495 |
| KAT Coder | KAT Coder | ₽114/M | ₽456/M | ₽4 561 |
| Qvq 72B Preview | Qwen | ₽137/M | ₽411/M | ₽4 789 |
| Doubao Seed 2.0 Code Preview | ByteDance | ₽109/M | ₽547/M | ₽4 926 |
| Doubao Seed 2.0 Pro | ByteDance | ₽109/M | ₽547/M | ₽4 926 |
| qwen3.7 max | Qwen | ₽142/M | ₽425/M | ₽4 953 |
| codex mini | codex mini | ₽125/M | ₽499/M | ₽4 995 |
| Gemini 2.5 Flash Preview Tts | ₽41.62/M | ₽832/M | ₽4 995 | |
| abab5.5 chat | abab5.5 chat | ₽166/M | ₽333/M | ₽4 995 |
| kimi k2 thinking turbo | kimi k2 thinking turbo | ₽91.23/M | ₽661/M | ₽5 132 |
| Kimi K2 Turbo Preview | kimi k2 turbo preview | ₽91.23/M | ₽661/M | ₽5 132 |
| hunyuan vision | hunyuan vision | ₽205/M | ₽205/M | ₽5 132 |
| Claude Opus 4 8 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| Claude Opus 4.5 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| Claude Opus 4.6 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| Claude Opus 5 | Anthropic | ₽125/M | ₽624/M | ₽5 619 |
| Grok 4 | xAI | ₽125/M | ₽624/M | ₽5 619 |
| grok 4.5 | xAI | ₽166/M | ₽499/M | ₽5 827 |
| qwen 2.5 72b instruct | Qwen | ₽238/M | ₽238/M | ₽5 946 |
| qwen1.5 110b chat | qwen1.5 110b chat | ₽238/M | ₽238/M | ₽5 946 |
| qwen1.5 14b chat | qwen1.5 14b chat | ₽238/M | ₽238/M | ₽5 946 |
| qwen1.5 32b chat | qwen1.5 32b chat | ₽238/M | ₽238/M | ₽5 946 |
| qwen1.5 72b chat | qwen1.5 72b chat | ₽238/M | ₽238/M | ₽5 946 |
| qwen1.5 7b chat | qwen1.5 7b chat | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2 57B A14B Instruct | Qwen | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2 72B Instruct | Qwen | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2 7B Instruct | Qwen | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2.5 14B Instruct | qwen2.5 14b instruct | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2.5 32B Instruct | qwen2.5 32b instruct | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2.5 7B Instruct | qwen2.5 7b instruct | ₽238/M | ₽238/M | ₽5 946 |
| qwen2.5 coder 14b instruct | qwen2.5 coder 14b instruct | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2.5 Coder 32B Instruct | Qwen | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2.5 Coder 7B | Qwen | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2.5 Math 72B Instruct | qwen2.5 math 72b instruct | ₽238/M | ₽238/M | ₽5 946 |
| Qwen2.5 Math 7B Instruct | qwen2.5 math 7b instruct | ₽238/M | ₽238/M | ₽5 946 |
| Gemini 2.5 Computer Use Preview | ₽104/M | ₽832/M | ₽6 243 | |
| gemini 2.5 pro | ₽104/M | ₽832/M | ₽6 243 | |
| gemini 2.5 pro video | ₽104/M | ₽832/M | ₽6 243 | |
| Gemini 3.5 Flash | ₽125/M | ₽749/M | ₽6 243 | |
| Gemini Pro | ₽104/M | ₽832/M | ₽6 243 | |
| gpt 5 codex | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| Gpt 5 Search API | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| Gpt 5.1 | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5 | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5 Chat | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1 Chat | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1-Codex | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| GPT-5.1-Codex-Max | OpenAI | ₽104/M | ₽832/M | ₽6 243 |
| hunyuan turbo | hunyuan turbo | ₽171/M | ₽570/M | ₽6 272 |
| Qwen2 VL 72B Instruct | Qwen2 VL 72B Instruct | ₽182/M | ₽547/M | ₽6 386 |
| Qwen2.5 VL 72B Instruct | Qwen | ₽182/M | ₽547/M | ₽6 386 |
| GPT-3.5 Turbo 16k | OpenAI | ₽250/M | ₽333/M | ₽6 659 |
| Gpt 4.1 | OpenAI | ₽166/M | ₽666/M | ₽6 660 |
| O3 | OpenAI | ₽166/M | ₽666/M | ₽6 660 |
| whisper 1 | OpenAI | ₽333/M | ₽333/M | ₽6 660 |
| Kimi K3 | kimi k3 | ₽250/M | ₽416/M | ₽7 076 |
| GLM 4.5 X | glm 4.5 x | ₽182/M | ₽730/M | ₽7 298 |
| step 1 32k | step 1 32k | ₽171/M | ₽798/M | ₽7 412 |
| step 1o vision 32k | step 1o vision 32k | ₽171/M | ₽798/M | ₽7 412 |
| step 1v 32k | step 1v 32k | ₽171/M | ₽798/M | ₽7 412 |
| SparkDesk Pro 128K | SparkDesk Pro 128K | ₽296/M | ₽296/M | ₽7 412 |
| Claude Sonnet 5 | Anthropic | ₽166/M | ₽832/M | ₽7 492 |
| Gpt 6 Sol | OpenAI | ₽166/M | ₽832/M | ₽7 492 |
| gpt 6.1 sol | OpenAI | ₽166/M | ₽832/M | ₽7 492 |
| Grok 3 | xAI | ₽250/M | ₽499/M | ₽7 492 |
| ERNIE 4.0 Turbo 128K | ERNIE 4.0 Turbo 128K | ₽228/M | ₽684/M | ₽7 982 |
| ERNIE 4.0 Turbo 8K | ERNIE 4.0 Turbo 8K | ₽228/M | ₽684/M | ₽7 982 |
| Gemini 3.1 Pro | ₽166/M | ₽999/M | ₽8 325 | |
| gemini 3.1 pro high | ₽166/M | ₽999/M | ₽8 325 | |
| Gemini 3.1 Pro Preview Custom Tools | ₽166/M | ₽999/M | ₽8 325 | |
| gemini 2.0 pro exp | ₽208/M | ₽832/M | ₽8 325 | |
| GPT 4o Audio Preview | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| gpt audio | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| gpt audio 1.5 | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| gpt image 1 mini | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| GPT-4o | OpenAI | ₽208/M | ₽832/M | ₽8 325 |
| Gpt 5.2 | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| gpt 5.3 codex | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT-5.2 Chat | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT-5.2-Codex | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| GPT-5.3 Chat | OpenAI | ₽146/M | ₽1 165/M | ₽8 741 |
| Gemini 2.5 Pro Preview Tts | ₽83.25/M | ₽1 665/M | ₽9 989 | |
| Gemini 3.1 Flash TTS | ₽83.25/M | ₽1 665/M | ₽9 989 | |
| Gpt 5.4 | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| Gpt 5.6 Terra | OpenAI | ₽208/M | ₽1 249/M | ₽10 406 |
| claude fable 5 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| Claude Fable 5 1 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| Sonnet 3 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| Sonnet 3.5 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| Sonnet 3.7 | Anthropic | ₽250/M | ₽1 249/M | ₽11 238 |
| ERNIE 4.0 8K | ERNIE 4.0 8K | ₽342/M | ₽1 026/M | ₽11 974 |
| hunyuan pro | hunyuan pro | ₽342/M | ₽1 140/M | ₽12 544 |
| gpt realtime | OpenAI | ₽333/M | ₽1 332/M | ₽13 319 |
| GLM 4 Plus | glm 4 plus | ₽570/M | ₽570/M | ₽14 254 |
| GLM 4 Vision | glm 4v | ₽570/M | ₽570/M | ₽14 254 |
| Step 2 16K | step 2 16k | ₽433/M | ₽1 368/M | ₽15 509 |
| ERNIE Novel 8K | ERNIE Novel 8K | ₽456/M | ₽1 368/M | ₽15 965 |
| GPT Realtime 2.1 | OpenAI | ₽333/M | ₽1 998/M | ₽16 649 |
| gpt 4o realtime preview | OpenAI | ₽416/M | ₽1 665/M | ₽16 649 |
| Claude Opus 4 | Anthropic | ₽375/M | ₽1 873/M | ₽16 857 |
| SparkDesk Max | SparkDesk Max | ₽684/M | ₽684/M | ₽17 105 |
| Claude Opus 4.7 | Anthropic | ₽416/M | ₽2 081/M | ₽18 730 |
| 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 | 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 |
| gpt image 2.5 flare | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 2.5 sunburst | OpenAI | ₽416/M | ₽2 497/M | ₽20 811 |
| gpt image 1.5 | OpenAI | ₽416/M | ₽2 664/M | ₽21 644 |
| hunyuan turbo vision | hunyuan turbo vision | ₽912/M | ₽912/M | ₽22 807 |
| SparkDesk Max 32k | SparkDesk Max 32k | ₽1 026/M | ₽1 026/M | ₽25 658 |
| step tts mini | step tts mini | ₽1 026/M | ₽1 026/M | ₽25 658 |
| GLM 4 | glm 4 | ₽1 140/M | ₽1 140/M | ₽28 509 |
| sambert v1 | sambert v1 | ₽1 140/M | ₽1 140/M | ₽28 509 |
| SenseVoiceSmall | SenseVoiceSmall | ₽1 140/M | ₽1 140/M | ₽28 509 |
| gpt 4 | OpenAI | ₽832/M | ₽2 497/M | ₽29 136 |
| GPT 4 1106 Preview | OpenAI | ₽832/M | ₽2 497/M | ₽29 136 |
| gpt 4 turbo | OpenAI | ₽832/M | ₽2 497/M | ₽29 136 |
| gpt 4 vision | OpenAI | ₽832/M | ₽2 497/M | ₽29 136 |
| O3 Deep Research | OpenAI | ₽832/M | ₽3 330/M | ₽33 298 |
| Gpt 6 Astra | OpenAI | ₽832/M | ₽4 162/M | ₽37 460 |
| SparkDesk 4.0 Ultra | SparkDesk 4.0 Ultra | ₽1 596/M | ₽1 596/M | ₽39 912 |
| Text Davinci 002 | text davinci 002 | ₽1 665/M | ₽1 665/M | ₽41 623 |
| gpt image 1 | OpenAI | ₽832/M | ₽6 660/M | ₽49 947 |
| O1 | OpenAI | ₽1 249/M | ₽4 995/M | ₽49 947 |
| claude 3 opus latest | Anthropic | ₽1 249/M | ₽6 243/M | ₽56 191 |
| speech 01 turbo | speech 01 turbo | ₽2 281/M | ₽2 281/M | ₽57 017 |
| speech 02 turbo | speech 02 turbo | ₽2 281/M | ₽2 281/M | ₽57 017 |
| o3 Pro | OpenAI | ₽1 665/M | ₽6 660/M | ₽66 596 |
| GPT-5 Pro | OpenAI | ₽1 249/M | ₽9 989/M | ₽74 921 |
| Dall E 2 | dall e 2 | ₽3 330/M | ₽3 330/M | ₽83 245 |
| DALL E 3 | DALL E 3 | ₽3 330/M | ₽3 330/M | ₽83 245 |
| paraformer realtime v2 | paraformer realtime v2 | ₽3 991/M | ₽3 991/M | ₽99 780 |
| speech 01 hd | speech 01 hd | ₽3 991/M | ₽3 991/M | ₽99 780 |
| speech 02 hd | speech 02 hd | ₽3 991/M | ₽3 991/M | ₽99 780 |
| GPT-5.2 Pro | OpenAI | ₽1 748/M | ₽13 985/M | ₽104 889 |
| gpt 5.4 pro | OpenAI | ₽2 497/M | ₽14 984/M | ₽124 868 |
| Gpt 5.5 Pro | OpenAI | ₽2 497/M | ₽14 984/M | ₽124 868 |
| Doubao tts | Doubao tts | ₽5 702/M | ₽5 702/M | ₽142 543 |
| gpt 4 32k | OpenAI | ₽4 995/M | ₽9 989/M | ₽149 842 |
| gpt 4.5 preview | OpenAI | ₽6 243/M | ₽12 487/M | ₽187 302 |
| step 1 256k | step 1 256k | ₽10 833/M | ₽3 421/M | ₽233 771 |
| o1-pro | OpenAI | ₽12 487/M | ₽49 947/M | ₽499 472 |
| parse pdf | parse pdf | ₽228 070/M | ₽228 070/M | ₽5 701 740 |
Изображения
за изображение · 14
▼
Изображения
за изображение · 14
| Модель | Maker | Цена |
|---|---|---|
| gemini 2.5 flash image | ₽1.66/изобр. | |
| gpt 4o image | OpenAI | ₽1.66/изобр. |
| Z-Image Turbo | alibaba | ₽2.29/изобр. |
| Qwen Image 2.0 | Qwen | ₽2.38/изобр. |
| Qwen Image Edit Plus | Qwen | ₽2.38/изобр. |
| Wan 2.7 Image | alibaba | ₽2.38/изобр. |
| doubao seedream 5 0 260128 | doubao seedream 5 0 260128 | ₽2.50/изобр. |
| doubao seedream 4 5 251128 | doubao seedream 4 5 251128 | ₽2.91/изобр. |
| Qwen Image 2.0 Pro | Qwen | ₽5.94/изобр. |
| Qwen Image Edit Max | Qwen | ₽5.94/изобр. |
| Qwen Image Max | Qwen | ₽5.94/изобр. |
| Wan 2.7 Image Pro | alibaba | ₽5.94/изобр. |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽8.32/изобр. | |
| gemini 3 pro image preview 2k | ₽9.16/изобр. |
За запрос
фиксированная цена за вызов · 15
▼
За запрос
фиксированная цена за вызов · 15
| Модель | Maker | Цена |
|---|---|---|
| glm 4.5 flash | glm 4.5 flash | ₽0.0083/вызов |
| mita chat · fast-document | mita chat | ₽0.17/вызов |
| mita chat · fast-podcast | mita chat | ₽0.17/вызов |
| mita chat · fast-scholar | mita chat | ₽0.17/вызов |
| mita chat · fast-web | mita chat | ₽0.17/вызов |
| mita chat · fast-video-thinking | mita chat | ₽0.33/вызов |
| mita chat · ds-r1-document | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-podcast | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-scholar | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-video | mita chat | ₽1.66/вызов |
| mita chat · ds-r1-web | mita chat | ₽1.66/вызов |
| veo 3.1 fast generate 001 | veo 3.1 fast generate 001 | ₽24.97/вызов |
| veo 2.0 generate 001 | veo 2.0 generate 001 | ₽41.62/вызов |
| veo 3.0 fast generate 001 | veo 3.0 fast generate 001 | ₽49.95/вызов |
| veo 3.0 generate 001 | veo 3.0 generate 001 | ₽266/вызов |
Без публичной цены
нет данных в открытых источниках · 17
▼
Без публичной цены
нет данных в открытых источниках · 17
| Модель | Maker | Примечание |
|---|---|---|
| gemini 2.0 flash exp image | — | |
| gemini robotics er 2 preview | — | |
| GPT Chat Latest | OpenAI | — |
| Grok Build 0.1 | xAI | — |
| Jev 1.13 | jev 1.13.0 | — |
| Jev 1.13 | jev | — |
| Jina Reader | jina reader | — |
| Jina Search | jina search | — |
| Qwen-MT Flash | Qwen | — |
| Qwen-MT Lite | Qwen | — |
| Qwen-Omni Turbo | Qwen | — |
| Qwen3 32B | Qwen | — |
| tavily crawl | tavily crawl | — |
| tavily extract | tavily extract | — |
| tavily map | tavily map | — |
| tavily search | tavily search | — |
| Wan 2.2 Animate Move | alibaba | — |
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. o3.fan — New API v9.6.0, pricing в map-формате (ModelRatio, GroupRatio). Конфиг для Cherry Studio / Claude Code на сайте.
О провайдере
О сервисе
o3.fan — mega-каталог New API: Midjourney, веб-чат o3-chat, docs на docs.o3.fan. Оплата USD через карту, PayPal, USDT или Alipay.
Как сравнивать на AI-APISHKA
На AI-APISHKA сравнивайте пересчитанную ₽/1M или $/1M для той же модели у разных агрегаторов. У OneAPI-сервисов ratio свой — одинаковое имя модели не гарантирует одинаковую цену у LaoZhang, o3.fan, NeuroAPI и других. o3.fan vs oCoolAI — разные ratio при одинаковых именах моделей.
Частые вопросы
- o3.fan — сколько моделей?
- 1600+ в каталоге AI-APISHKA; полный список через GET /api/pricing и на странице провайдера.
- Чем map-pricing o3.fan отличается от list-pricing?
- ModelRatio и GroupRatio — JSON maps, не массив. Формула пересчёта в $/1M та же, что у OneAPI.
- o3.fan vs oCoolAI — что выбрать?
- Оба OneAPI list-format. Сравнивайте пересчитанные $/1M на странице нужной модели — ratio различаются.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
o3.fan предлагает 439 моделей AI API. Средняя цена — ₽890/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.0083/M (glm 4.6v flash).
Сравните цены на glm 4.5 flash , mita chat · fast-document , mita chat · fast-podcast , mita chat · fast-scholar и mita chat · fast-web у других провайдеров или в каталоге агрегаторов . Данные обновлены 01.10.2026.