282 модели по list price — 0% markup, $5/mo free credits
- Моделей
- 243
- Средняя цена
- ₽277/M
- Регион
- Зарубежный · сайт на английский
- Оплата
- USD (доллары), Vercel billing / credits
- Биллинг
- за токены
- API
- OpenAI-compatible
Привязка к экосистеме Vercel для billing/dashboard · Меньше моделей чем OpenRouter/AIgateway (~282 vs 400+) · Нет BYOK / enterprise SSO на уровне standalone gateway
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 = 85.6007 ₽ · 1 CNY = 12.7335 ₽ · 29.08.2026
242 моделей
Текст и чат
оплата за токены · 242
▼
Текст и чат
оплата за токены · 242
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| gemini 3.5 transcribe live | gemini 3.5 transcribe live | ₽0.0086/M | ₽0.0086/M | ₽0 |
| whisper 1 | openai | ₽0.0086/M | ₽0.0086/M | ₽0 |
| gpt realtime whisper | gpt realtime whisper | ₽0.02/M | ₽0.02/M | ₽0 |
| seedream 5 0 pro | seedream 5 0 pro | ₽0.26/M | ₽0.26/M | ₽5 |
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.34/M | ₽0.34/M | ₽7 |
| qwen3-embedding-0.6b | qwen | ₽0.86/M | ₽0.86/M | ₽17 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.71/M | ₽1.71/M | ₽34 |
| text embedding 3 small | openai | ₽1.71/M | ₽1.71/M | ₽34 |
| Titan Text Embeddings V2 | amazon | ₽1.71/M | ₽1.71/M | ₽34 |
| Voyage 3.5 Lite | voyage | ₽1.71/M | ₽1.71/M | ₽34 |
| Voyage 4 Lite | voyage | ₽1.71/M | ₽1.71/M | ₽34 |
| Voyage Rerank 2.5 Lite | voyage | ₽1.71/M | ₽1.71/M | ₽34 |
| Text Embedding 005 | text embedding 005 | ₽2.14/M | ₽2.14/M | ₽43 |
| Text multilingual embedding 002 | ₽2.14/M | ₽2.14/M | ₽43 | |
| pplx embed v1 4b | pplx embed v1 4b | ₽2.57/M | ₽2.57/M | ₽51 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽4.28/M | ₽4.28/M | ₽86 |
| Voyage Rerank 2.5 | voyage | ₽4.28/M | ₽4.28/M | ₽86 |
| Voyage 3.5 | voyage | ₽5.14/M | ₽5.14/M | ₽103 |
| Voyage 4 | voyage | ₽5.14/M | ₽5.14/M | ₽103 |
| qwen3.7 flash | qwen | ₽2.57/M | ₽11.13/M | ₽107 |
| Amazon Nova Micro | nova micro | ₽3.00/M | ₽11.98/M | ₽120 |
| Tencent Hy-MT2-Lite | tencent | ₽3.77/M | ₽15.15/M | ₽151 |
| gpt oss 20b | openai | ₽4.28/M | ₽17.12/M | ₽171 |
| Mistral Embed | mistral embed | ₽8.56/M | ₽8.56/M | ₽171 |
| Nemotron 3.5 Lightning | NVIDIA | ₽4.28/M | ₽17.12/M | ₽171 |
| Text Embedding ADA | text embedding ada | ₽8.56/M | ₽8.56/M | ₽171 |
| Ling-3.0-flash | inclusionai | ₽5.14/M | ₽15.41/M | ₽180 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽4.28/M | ₽20.54/M | ₽188 |
| deepseek v4 flash | deepseek | ₽6.51/M | ₽13.10/M | ₽196 |
| Nvidia Nemotron Nano 9B V2 | nemotron nano 9b v2 free | ₽5.14/M | ₽19.69/M | ₽201 |
| Nova Lite | amazon | ₽5.14/M | ₽20.54/M | ₽205 |
| Embed v4.0 | cohere | ₽10.27/M | ₽10.27/M | ₽205 |
| gpt oss safeguard 20b | openai | ₽5.99/M | ₽17.12/M | ₽205 |
| Voyage 4 Large | voyage | ₽10.27/M | ₽10.27/M | ₽205 |
| Voyage Code 2 | voyage | ₽10.27/M | ₽10.27/M | ₽205 |
| Voyage Finance 2 | voyage | ₽10.27/M | ₽10.27/M | ₽205 |
| Voyage Law 2 | voyage | ₽10.27/M | ₽10.27/M | ₽205 |
| Ministral 3B | ministral 3b | ₽8.56/M | ₽8.56/M | ₽214 |
| text embedding 3 large | openai | ₽11.13/M | ₽11.13/M | ₽223 |
| Tencent Hy-MT2-Plus | tencent | ₽6.33/M | ₽25.25/M | ₽253 |
| Tencent Hy-MT2-Pro | tencent | ₽6.33/M | ₽25.25/M | ₽253 |
| Codestral Embed | mistral | ₽12.84/M | ₽12.84/M | ₽257 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽12.84/M | ₽12.84/M | ₽257 |
| GPT-5 Nano | gpt 5 nano | ₽4.28/M | ₽34.24/M | ₽257 |
| Laguna S 2.1 | poolside | ₽8.56/M | ₽17.12/M | ₽257 |
| muse-spark-1.2-contributor | muse spark 1 2 contributor | ₽8.56/M | ₽17.12/M | ₽257 |
| GLM 4.7 FlashX | zai | ₽5.14/M | ₽34.24/M | ₽274 |
| Step 3.5 Flash | step 3.5 flash | ₽7.70/M | ₽25.68/M | ₽282 |
| glm 4.7 flash | z ai | ₽5.99/M | ₽34.24/M | ₽291 |
| Devstral Small 2 | mistral | ₽8.56/M | ₽25.68/M | ₽300 |
| Mistral Small | mistral small | ₽8.56/M | ₽25.68/M | ₽300 |
| qwen3 14b | qwen | ₽10.27/M | ₽20.54/M | ₽308 |
| Voyage Code 3 | voyage | ₽15.41/M | ₽15.41/M | ₽308 |
| voyage-3-large | voyage | ₽15.41/M | ₽15.41/M | ₽308 |
| Ministral 8B | ministral 8b | ₽12.84/M | ₽12.84/M | ₽321 |
| mistral nemo | mistral nemo | ₽12.84/M | ₽12.84/M | ₽321 |
| Pixtral | pixtral 12b | ₽12.84/M | ₽12.84/M | ₽321 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.56/M | ₽34.24/M | ₽342 |
| Gemini Embedding 2 | gemini embedding 2 | ₽17.12/M | ₽17.12/M | ₽342 |
| gpt 4.1 nano | openai | ₽8.56/M | ₽34.24/M | ₽342 |
| Qwen3.5 Flash | alibaba | ₽8.56/M | ₽34.24/M | ₽342 |
| mimo v2.5 | mimo v2.5 | ₽11.98/M | ₽23.97/M | ₽360 |
| gpt oss 120b | openai | ₽8.56/M | ₽42.80/M | ₽385 |
| gemma 4 31b it | ₽11.98/M | ₽34.24/M | ₽411 | |
| qwen3 30b a3b | qwen | ₽10.27/M | ₽42.80/M | ₽419 |
| Ministral 14B | mistral | ₽17.12/M | ₽17.12/M | ₽428 |
| glm 5.3 flash | z ai | ₽12.84/M | ₽42.80/M | ₽471 |
| llama 3.1 8b | llama 3.1 8b | ₽18.83/M | ₽18.83/M | ₽471 |
| qwen3.8 flash | qwen | ₽13.70/M | ₽40.23/M | ₽475 |
| Hy3 | hy3 | ₽11.98/M | ₽49.65/M | ₽488 |
| gemma 4 26b a4b it | ₽12.84/M | ₽51.36/M | ₽514 | |
| GPT OSS Safeguard 120B | openai | ₽12.84/M | ₽51.36/M | ₽514 |
| GPT-4o Mini | gpt 4o mini | ₽12.84/M | ₽51.36/M | ₽514 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽12.84/M | ₽51.36/M | ₽514 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽12.84/M | ₽51.36/M | ₽514 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽12.84/M | ₽55.64/M | ₽535 |
| Qwen 3 32B | qwen 3 32b | ₽13.70/M | ₽54.78/M | ₽548 |
| Grok 4.1 Fast Non-Reasoning | spacexai | ₽17.12/M | ₽42.80/M | ₽556 |
| Grok 4.1 Fast Reasoning | spacexai | ₽17.12/M | ₽42.80/M | ₽556 |
| Llama 4 Scout | llama 4 scout | ₽14.55/M | ₽56.50/M | ₽574 |
| nemotron nano 12b v2 vl | nvidia | ₽17.12/M | ₽51.36/M | ₽599 |
| DeepSeek-V4-Flash-Vision | deepseek v4 flash vision | ₽18.83/M | ₽56.50/M | ₽659 |
| deepseek v3.2 | deepseek | ₽23.97/M | ₽35.95/M | ₽659 |
| Mercury 2 | inception | ₽21.40/M | ₽64.20/M | ₽749 |
| qwen3 235b a22b | qwen | ₽18.83/M | ₽75.33/M | ₽753 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.84/M | ₽103/M | ₽770 |
| glm 4.5 air | z ai | ₽17.12/M | ₽94.16/M | ₽813 |
| Trinity Large Thinking | arcee ai | ₽21.40/M | ₽77.04/M | ₽813 |
| Llama 4 Maverick | llama 4 maverick | ₽20.54/M | ₽83.03/M | ₽826 |
| Step 3.7 Flash | step 3.7 flash | ₽17.12/M | ₽98.44/M | ₽835 |
| deepseek v3.1 | deepseek v3.1 | ₽21.40/M | ₽81.32/M | ₽835 |
| gpt 5.6 luna | openai | ₽17.12/M | ₽103/M | ₽856 |
| Mercury Coder Small Beta | inception | ₽21.40/M | ₽85.60/M | ₽856 |
| gpt 5.4 nano | openai | ₽17.12/M | ₽107/M | ₽877 |
| deepseek v3.1 terminus | deepseek | ₽23.11/M | ₽85.60/M | ₽890 |
| Mistral Codestral | mistral | ₽25.68/M | ₽77.04/M | ₽899 |
| Deepseek | deepseek | ₽23.11/M | ₽95.87/M | ₽942 |
| Claude 3 Haiku | Anthropic | ₽21.40/M | ₽107/M | ₽963 |
| KAT-Coder-Pro V1 | kwaipilot | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.1 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.5 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.7 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m3 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| gemini 3.1 flash lite | ₽21.40/M | ₽128/M | ₽1 070 | |
| gemini 3.1 flash lite image | ₽21.40/M | ₽128/M | ₽1 070 | |
| mimo v2.5 pro | mimo v2.5 pro | ₽37.24/M | ₽74.47/M | ₽1 117 |
| Muse Glimmer 30B | muse glimmer 30b | ₽29.96/M | ₽128/M | ₽1 241 |
| ByteDance Seed 1.8 | bytedance | ₽21.40/M | ₽171/M | ₽1 284 |
| gpt 5.1 codex mini | openai | ₽21.40/M | ₽171/M | ₽1 284 |
| GPT-5 Mini | gpt 5 mini | ₽21.40/M | ₽171/M | ₽1 284 |
| Seed 1.6 | bytedance | ₽21.40/M | ₽171/M | ₽1 284 |
| gpt 4.1 mini | openai | ₽34.24/M | ₽137/M | ₽1 370 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽34.24/M | ₽137/M | ₽1 370 |
| qwen3.7 plus | qwen | ₽34.24/M | ₽137/M | ₽1 370 |
| Inkling Small | thinkingmachines | ₽42.80/M | ₽103/M | ₽1 370 |
| qwen3 coder next | qwen | ₽42.80/M | ₽103/M | ₽1 370 |
| gpt 3.5 turbo | openai | ₽42.80/M | ₽128/M | ₽1 498 |
| Mistral Large 3 | mistral large 3 | ₽42.80/M | ₽128/M | ₽1 498 |
| Devstral 2 | mistral | ₽34.24/M | ₽171/M | ₽1 541 |
| Llama 3.1 70B | llama 3.1 70b | ₽61.63/M | ₽61.63/M | ₽1 541 |
| Llama 3.3 70B | llama 3.3 70b | ₽61.63/M | ₽61.63/M | ₽1 541 |
| Mistral Medium | mistral medium | ₽34.24/M | ₽171/M | ₽1 541 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽25.68/M | ₽205/M | ₽1 541 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽25.68/M | ₽214/M | ₽1 584 |
| gemini 2.5 flash image | ₽25.68/M | ₽214/M | ₽1 584 | |
| gemini 3.5 flash lite | ₽25.68/M | ₽214/M | ₽1 584 | |
| Nova 2 Lite | amazon | ₽25.68/M | ₽214/M | ₽1 584 |
| Kimi K2 | kimi k2 | ₽40.23/M | ₽171/M | ₽1 661 |
| qwen3.5 plus | qwen3.5 plus | ₽34.24/M | ₽205/M | ₽1 712 |
| glm 4.5v | z ai | ₽51.36/M | ₽154/M | ₽1 798 |
| morph · morph-v3-fast | morph | ₽68.48/M | ₽103/M | ₽1 883 |
| glm 4.5 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| glm 4.6 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| glm 4.7 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| deepseek v4 pro | deepseek | ₽56.50/M | ₽169/M | ₽1 977 |
| gpt realtime mini | gpt realtime mini | ₽51.36/M | ₽205/M | ₽2 054 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽51.36/M | ₽205/M | ₽2 054 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽51.36/M | ₽205/M | ₽2 054 |
| Nemotron 3 Ultra | nvidia | ₽51.36/M | ₽205/M | ₽2 054 |
| Gemini 3 Flash | gemini 3 flash | ₽42.80/M | ₽257/M | ₽2 140 |
| gemini 3.1 flash image | ₽42.80/M | ₽257/M | ₽2 140 | |
| qwen3.6 plus | qwen | ₽42.80/M | ₽257/M | ₽2 140 |
| qwen3.8 27b | qwen | ₽42.80/M | ₽257/M | ₽2 140 |
| Kimi K2.5 | kimi k2.5 | ₽51.36/M | ₽257/M | ₽2 311 |
| morph · morph-v3-large | morph | ₽77.04/M | ₽163/M | ₽2 354 |
| glm 5.2 | z ai | ₽68.48/M | ₽218/M | ₽2 461 |
| Hy4 Preview | hy4 preview | ₽71.39/M | ₽214/M | ₽2 498 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽63.34/M | ₽253/M | ₽2 534 |
| qwen3.6 27b | qwen | ₽51.36/M | ₽308/M | ₽2 568 |
| grok build 0.1 | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| Nova Pro | amazon | ₽68.48/M | ₽274/M | ₽2 739 |
| gemini 3.6 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| gemini 3.7 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| GLM-5 | glm 5 | ₽85.60/M | ₽274/M | ₽3 082 |
| gpt 5.4 mini | openai | ₽64.20/M | ₽385/M | ₽3 210 |
| grok 4.20 multi agent | x ai | ₽107/M | ₽214/M | ₽3 210 |
| Grok 4.20 Multi Agent Beta | spacexai | ₽107/M | ₽214/M | ₽3 210 |
| Grok 4.20 Non-Reasoning | spacexai | ₽107/M | ₽214/M | ₽3 210 |
| Grok 4.20 Reasoning | spacexai | ₽107/M | ₽214/M | ₽3 210 |
| grok 4.3 | x ai | ₽107/M | ₽214/M | ₽3 210 |
| kimi k2.6 | moonshotai | ₽81.32/M | ₽342/M | ₽3 338 |
| kimi k2.7 code | moonshotai | ₽81.32/M | ₽342/M | ₽3 338 |
| Namazu | sakana | ₽81.32/M | ₽342/M | ₽3 338 |
| Inkling | Thinking Machines | ₽85.60/M | ₽347/M | ₽3 445 |
| glm 5 turbo | z ai | ₽103/M | ₽342/M | ₽3 766 |
| glm 5v turbo | z ai | ₽103/M | ₽342/M | ₽3 766 |
| O3 Mini | o3 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| O4 Mini | o4 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽85.60/M | ₽428/M | ₽3 852 |
| qwen3 coder plus | qwen | ₽85.60/M | ₽428/M | ₽3 852 |
| Muse Spark 1.1 | muse spark 1.1 | ₽107/M | ₽364/M | ₽3 959 |
| Muse Spark 1.2 | muse spark 1.2 | ₽107/M | ₽364/M | ₽3 959 |
| Interfaze Beta | interfaze | ₽128/M | ₽300/M | ₽4 066 |
| glm 5.1 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| glm 5.3 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| GPT-4o Mini Transcribe | openai | ₽107/M | ₽428/M | ₽4 280 |
| Qwen3 Max | qwen3 max | ₽103/M | ₽514/M | ₽4 622 |
| DeepSeek R1 | deepseek r1 | ₽116/M | ₽462/M | ₽4 622 |
| Qwen 3.6 Max Preview | alibaba | ₽111/M | ₽668/M | ₽5 564 |
| mistral medium 3 5 | mistral medium 3 5 | ₽128/M | ₽642/M | ₽5 778 |
| qwen3 coder | qwen | ₽128/M | ₽642/M | ₽5 778 |
| grok 4.5 | x ai | ₽171/M | ₽514/M | ₽5 992 |
| grok 4.6 | grok 4.6 | ₽171/M | ₽514/M | ₽5 992 |
| Qwen3.8 2.4t A95B | qwen3.8 2.4t a95b | ₽171/M | ₽514/M | ₽5 992 |
| qwen3.8 max | qwen | ₽171/M | ₽514/M | ₽5 992 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽107/M | ₽856/M | ₽6 420 |
| gemini 3.5 flash | ₽128/M | ₽770/M | ₽6 420 | |
| Gemini Omni Flash | ₽128/M | ₽770/M | ₽6 420 | |
| gpt 5 codex | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 codex | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 codex max | openai | ₽107/M | ₽856/M | ₽6 420 |
| GPT-5 | gpt 5 | ₽107/M | ₽856/M | ₽6 420 |
| zai · glm-5.2 | zai | ₽180/M | ₽565/M | ₽6 420 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽163/M | ₽685/M | ₽6 677 |
| gpt 4.1 | openai | ₽171/M | ₽685/M | ₽6 848 |
| gpt image 1 mini | openai | ₽171/M | ₽685/M | ₽6 848 |
| O3 | o3 | ₽171/M | ₽685/M | ₽6 848 |
| qwen3.7 max | qwen | ₽214/M | ₽642/M | ₽7 490 |
| claude sonnet 5 | anthropic | ₽171/M | ₽856/M | ₽7 704 |
| gpt 5.6 sol | openai | ₽171/M | ₽856/M | ₽7 704 |
| Cohere Command A | cohere command a | ₽214/M | ₽856/M | ₽8 560 |
| gemini 3 pro image | ₽171/M | ₽1 027/M | ₽8 560 | |
| gemini 3.1 pro | ₽171/M | ₽1 027/M | ₽8 560 | |
| gemini 3.5 transcribe | gemini 3.5 transcribe | ₽171/M | ₽1 027/M | ₽8 560 |
| gpt 5.6 terra | openai | ₽171/M | ₽1 027/M | ₽8 560 |
| GPT-4o | gpt 4o | ₽214/M | ₽856/M | ₽8 560 |
| GPT-4o Transcribe | openai | ₽214/M | ₽856/M | ₽8 560 |
| gpt 5.2 | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.2 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.3 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.4 | openai | ₽214/M | ₽1 284/M | ₽10 700 |
| Claude Sonnet 4 | claude sonnet 4 | ₽257/M | ₽1 284/M | ₽11 556 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽257/M | ₽1 284/M | ₽11 556 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽257/M | ₽1 284/M | ₽11 556 |
| kimi k3 | moonshotai | ₽257/M | ₽1 284/M | ₽11 556 |
| gpt-realtime-1.5 | gpt realtime 1 5 | ₽342/M | ₽1 370/M | ₽13 696 |
| GPT-Realtime-2 | gpt realtime 2 | ₽342/M | ₽2 054/M | ₽17 120 |
| GPT-Realtime-2.1 | gpt realtime 2 1 | ₽342/M | ₽2 054/M | ₽17 120 |
| Claude Opus 4.5 | claude opus 4 5 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.6 | claude opus 4 6 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.7 | claude opus 4 7 | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 4.8 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 5 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| Fugu Ultra | sakana | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt 5.5 | openai | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt image 2 | gpt image 2 | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt image 1.5 | openai | ₽428/M | ₽2 739/M | ₽22 256 |
| gpt image 1 | openai | ₽428/M | ₽3 424/M | ₽25 680 |
| Grok TTS | spacexai | ₽1 284/M | ₽1 284/M | ₽25 680 |
| tts 1 | openai | ₽1 284/M | ₽1 284/M | ₽25 680 |
| gpt 4 turbo | openai | ₽856/M | ₽2 568/M | ₽29 960 |
| claude fable 5 | anthropic | ₽856/M | ₽4 280/M | ₽38 520 |
| O1 | o1 | ₽1 284/M | ₽5 136/M | ₽51 360 |
| tts 1 hd | openai | ₽2 568/M | ₽2 568/M | ₽51 360 |
| Claude Opus 4 | claude opus 4 | ₽1 284/M | ₽6 420/M | ₽57 780 |
| o3 pro | openai | ₽1 712/M | ₽6 848/M | ₽68 481 |
| gpt 5 pro | openai | ₽1 284/M | ₽10 272/M | ₽77 041 |
| gpt 5.2 pro | openai | ₽1 798/M | ₽14 381/M | ₽107 857 |
| gpt 5.4 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| gpt 5.5 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
Текст и чат
оплата за токены · 242
▼
Текст и чат
оплата за токены · 242
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| gemini 3.5 transcribe live | gemini 3.5 transcribe live | ₽0.0086/M | ₽0.0086/M | ₽0 |
| whisper 1 | openai | ₽0.0086/M | ₽0.0086/M | ₽0 |
| gpt realtime whisper | gpt realtime whisper | ₽0.02/M | ₽0.02/M | ₽0 |
| seedream 5 0 pro | seedream 5 0 pro | ₽0.26/M | ₽0.26/M | ₽5 |
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.34/M | ₽0.34/M | ₽7 |
| qwen3-embedding-0.6b | qwen | ₽0.86/M | ₽0.86/M | ₽17 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.71/M | ₽1.71/M | ₽34 |
| text embedding 3 small | openai | ₽1.71/M | ₽1.71/M | ₽34 |
| Titan Text Embeddings V2 | amazon | ₽1.71/M | ₽1.71/M | ₽34 |
| Voyage 3.5 Lite | voyage | ₽1.71/M | ₽1.71/M | ₽34 |
| Voyage 4 Lite | voyage | ₽1.71/M | ₽1.71/M | ₽34 |
| Voyage Rerank 2.5 Lite | voyage | ₽1.71/M | ₽1.71/M | ₽34 |
| Text Embedding 005 | text embedding 005 | ₽2.14/M | ₽2.14/M | ₽43 |
| Text multilingual embedding 002 | ₽2.14/M | ₽2.14/M | ₽43 | |
| pplx embed v1 4b | pplx embed v1 4b | ₽2.57/M | ₽2.57/M | ₽51 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽4.28/M | ₽4.28/M | ₽86 |
| Voyage Rerank 2.5 | voyage | ₽4.28/M | ₽4.28/M | ₽86 |
| Voyage 3.5 | voyage | ₽5.14/M | ₽5.14/M | ₽103 |
| Voyage 4 | voyage | ₽5.14/M | ₽5.14/M | ₽103 |
| qwen3.7 flash | qwen | ₽2.57/M | ₽11.13/M | ₽107 |
| Amazon Nova Micro | nova micro | ₽3.00/M | ₽11.98/M | ₽120 |
| Tencent Hy-MT2-Lite | tencent | ₽3.77/M | ₽15.15/M | ₽151 |
| gpt oss 20b | openai | ₽4.28/M | ₽17.12/M | ₽171 |
| Mistral Embed | mistral embed | ₽8.56/M | ₽8.56/M | ₽171 |
| Nemotron 3.5 Lightning | NVIDIA | ₽4.28/M | ₽17.12/M | ₽171 |
| Text Embedding ADA | text embedding ada | ₽8.56/M | ₽8.56/M | ₽171 |
| Ling-3.0-flash | inclusionai | ₽5.14/M | ₽15.41/M | ₽180 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽4.28/M | ₽20.54/M | ₽188 |
| deepseek v4 flash | deepseek | ₽6.51/M | ₽13.10/M | ₽196 |
| Nvidia Nemotron Nano 9B V2 | nemotron nano 9b v2 free | ₽5.14/M | ₽19.69/M | ₽201 |
| Nova Lite | amazon | ₽5.14/M | ₽20.54/M | ₽205 |
| Embed v4.0 | cohere | ₽10.27/M | ₽10.27/M | ₽205 |
| gpt oss safeguard 20b | openai | ₽5.99/M | ₽17.12/M | ₽205 |
| Voyage 4 Large | voyage | ₽10.27/M | ₽10.27/M | ₽205 |
| Voyage Code 2 | voyage | ₽10.27/M | ₽10.27/M | ₽205 |
| Voyage Finance 2 | voyage | ₽10.27/M | ₽10.27/M | ₽205 |
| Voyage Law 2 | voyage | ₽10.27/M | ₽10.27/M | ₽205 |
| Ministral 3B | ministral 3b | ₽8.56/M | ₽8.56/M | ₽214 |
| text embedding 3 large | openai | ₽11.13/M | ₽11.13/M | ₽223 |
| Tencent Hy-MT2-Plus | tencent | ₽6.33/M | ₽25.25/M | ₽253 |
| Tencent Hy-MT2-Pro | tencent | ₽6.33/M | ₽25.25/M | ₽253 |
| Codestral Embed | mistral | ₽12.84/M | ₽12.84/M | ₽257 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽12.84/M | ₽12.84/M | ₽257 |
| GPT-5 Nano | gpt 5 nano | ₽4.28/M | ₽34.24/M | ₽257 |
| Laguna S 2.1 | poolside | ₽8.56/M | ₽17.12/M | ₽257 |
| muse-spark-1.2-contributor | muse spark 1 2 contributor | ₽8.56/M | ₽17.12/M | ₽257 |
| GLM 4.7 FlashX | zai | ₽5.14/M | ₽34.24/M | ₽274 |
| Step 3.5 Flash | step 3.5 flash | ₽7.70/M | ₽25.68/M | ₽282 |
| glm 4.7 flash | z ai | ₽5.99/M | ₽34.24/M | ₽291 |
| Devstral Small 2 | mistral | ₽8.56/M | ₽25.68/M | ₽300 |
| Mistral Small | mistral small | ₽8.56/M | ₽25.68/M | ₽300 |
| qwen3 14b | qwen | ₽10.27/M | ₽20.54/M | ₽308 |
| Voyage Code 3 | voyage | ₽15.41/M | ₽15.41/M | ₽308 |
| voyage-3-large | voyage | ₽15.41/M | ₽15.41/M | ₽308 |
| Ministral 8B | ministral 8b | ₽12.84/M | ₽12.84/M | ₽321 |
| mistral nemo | mistral nemo | ₽12.84/M | ₽12.84/M | ₽321 |
| Pixtral | pixtral 12b | ₽12.84/M | ₽12.84/M | ₽321 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.56/M | ₽34.24/M | ₽342 |
| Gemini Embedding 2 | gemini embedding 2 | ₽17.12/M | ₽17.12/M | ₽342 |
| gpt 4.1 nano | openai | ₽8.56/M | ₽34.24/M | ₽342 |
| Qwen3.5 Flash | alibaba | ₽8.56/M | ₽34.24/M | ₽342 |
| mimo v2.5 | mimo v2.5 | ₽11.98/M | ₽23.97/M | ₽360 |
| gpt oss 120b | openai | ₽8.56/M | ₽42.80/M | ₽385 |
| gemma 4 31b it | ₽11.98/M | ₽34.24/M | ₽411 | |
| qwen3 30b a3b | qwen | ₽10.27/M | ₽42.80/M | ₽419 |
| Ministral 14B | mistral | ₽17.12/M | ₽17.12/M | ₽428 |
| glm 5.3 flash | z ai | ₽12.84/M | ₽42.80/M | ₽471 |
| llama 3.1 8b | llama 3.1 8b | ₽18.83/M | ₽18.83/M | ₽471 |
| qwen3.8 flash | qwen | ₽13.70/M | ₽40.23/M | ₽475 |
| Hy3 | hy3 | ₽11.98/M | ₽49.65/M | ₽488 |
| gemma 4 26b a4b it | ₽12.84/M | ₽51.36/M | ₽514 | |
| GPT OSS Safeguard 120B | openai | ₽12.84/M | ₽51.36/M | ₽514 |
| GPT-4o Mini | gpt 4o mini | ₽12.84/M | ₽51.36/M | ₽514 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽12.84/M | ₽51.36/M | ₽514 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽12.84/M | ₽51.36/M | ₽514 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽12.84/M | ₽55.64/M | ₽535 |
| Qwen 3 32B | qwen 3 32b | ₽13.70/M | ₽54.78/M | ₽548 |
| Grok 4.1 Fast Non-Reasoning | spacexai | ₽17.12/M | ₽42.80/M | ₽556 |
| Grok 4.1 Fast Reasoning | spacexai | ₽17.12/M | ₽42.80/M | ₽556 |
| Llama 4 Scout | llama 4 scout | ₽14.55/M | ₽56.50/M | ₽574 |
| nemotron nano 12b v2 vl | nvidia | ₽17.12/M | ₽51.36/M | ₽599 |
| DeepSeek-V4-Flash-Vision | deepseek v4 flash vision | ₽18.83/M | ₽56.50/M | ₽659 |
| deepseek v3.2 | deepseek | ₽23.97/M | ₽35.95/M | ₽659 |
| Mercury 2 | inception | ₽21.40/M | ₽64.20/M | ₽749 |
| qwen3 235b a22b | qwen | ₽18.83/M | ₽75.33/M | ₽753 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.84/M | ₽103/M | ₽770 |
| glm 4.5 air | z ai | ₽17.12/M | ₽94.16/M | ₽813 |
| Trinity Large Thinking | arcee ai | ₽21.40/M | ₽77.04/M | ₽813 |
| Llama 4 Maverick | llama 4 maverick | ₽20.54/M | ₽83.03/M | ₽826 |
| Step 3.7 Flash | step 3.7 flash | ₽17.12/M | ₽98.44/M | ₽835 |
| deepseek v3.1 | deepseek v3.1 | ₽21.40/M | ₽81.32/M | ₽835 |
| gpt 5.6 luna | openai | ₽17.12/M | ₽103/M | ₽856 |
| Mercury Coder Small Beta | inception | ₽21.40/M | ₽85.60/M | ₽856 |
| gpt 5.4 nano | openai | ₽17.12/M | ₽107/M | ₽877 |
| deepseek v3.1 terminus | deepseek | ₽23.11/M | ₽85.60/M | ₽890 |
| Mistral Codestral | mistral | ₽25.68/M | ₽77.04/M | ₽899 |
| Deepseek | deepseek | ₽23.11/M | ₽95.87/M | ₽942 |
| Claude 3 Haiku | Anthropic | ₽21.40/M | ₽107/M | ₽963 |
| KAT-Coder-Pro V1 | kwaipilot | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.1 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.5 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m2.7 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m3 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| gemini 3.1 flash lite | ₽21.40/M | ₽128/M | ₽1 070 | |
| gemini 3.1 flash lite image | ₽21.40/M | ₽128/M | ₽1 070 | |
| mimo v2.5 pro | mimo v2.5 pro | ₽37.24/M | ₽74.47/M | ₽1 117 |
| Muse Glimmer 30B | muse glimmer 30b | ₽29.96/M | ₽128/M | ₽1 241 |
| ByteDance Seed 1.8 | bytedance | ₽21.40/M | ₽171/M | ₽1 284 |
| gpt 5.1 codex mini | openai | ₽21.40/M | ₽171/M | ₽1 284 |
| GPT-5 Mini | gpt 5 mini | ₽21.40/M | ₽171/M | ₽1 284 |
| Seed 1.6 | bytedance | ₽21.40/M | ₽171/M | ₽1 284 |
| gpt 4.1 mini | openai | ₽34.24/M | ₽137/M | ₽1 370 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽34.24/M | ₽137/M | ₽1 370 |
| qwen3.7 plus | qwen | ₽34.24/M | ₽137/M | ₽1 370 |
| Inkling Small | thinkingmachines | ₽42.80/M | ₽103/M | ₽1 370 |
| qwen3 coder next | qwen | ₽42.80/M | ₽103/M | ₽1 370 |
| gpt 3.5 turbo | openai | ₽42.80/M | ₽128/M | ₽1 498 |
| Mistral Large 3 | mistral large 3 | ₽42.80/M | ₽128/M | ₽1 498 |
| Devstral 2 | mistral | ₽34.24/M | ₽171/M | ₽1 541 |
| Llama 3.1 70B | llama 3.1 70b | ₽61.63/M | ₽61.63/M | ₽1 541 |
| Llama 3.3 70B | llama 3.3 70b | ₽61.63/M | ₽61.63/M | ₽1 541 |
| Mistral Medium | mistral medium | ₽34.24/M | ₽171/M | ₽1 541 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽25.68/M | ₽205/M | ₽1 541 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽25.68/M | ₽214/M | ₽1 584 |
| gemini 2.5 flash image | ₽25.68/M | ₽214/M | ₽1 584 | |
| gemini 3.5 flash lite | ₽25.68/M | ₽214/M | ₽1 584 | |
| Nova 2 Lite | amazon | ₽25.68/M | ₽214/M | ₽1 584 |
| Kimi K2 | kimi k2 | ₽40.23/M | ₽171/M | ₽1 661 |
| qwen3.5 plus | qwen3.5 plus | ₽34.24/M | ₽205/M | ₽1 712 |
| glm 4.5v | z ai | ₽51.36/M | ₽154/M | ₽1 798 |
| morph · morph-v3-fast | morph | ₽68.48/M | ₽103/M | ₽1 883 |
| glm 4.5 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| glm 4.6 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| glm 4.7 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| deepseek v4 pro | deepseek | ₽56.50/M | ₽169/M | ₽1 977 |
| gpt realtime mini | gpt realtime mini | ₽51.36/M | ₽205/M | ₽2 054 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽51.36/M | ₽205/M | ₽2 054 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽51.36/M | ₽205/M | ₽2 054 |
| Nemotron 3 Ultra | nvidia | ₽51.36/M | ₽205/M | ₽2 054 |
| Gemini 3 Flash | gemini 3 flash | ₽42.80/M | ₽257/M | ₽2 140 |
| gemini 3.1 flash image | ₽42.80/M | ₽257/M | ₽2 140 | |
| qwen3.6 plus | qwen | ₽42.80/M | ₽257/M | ₽2 140 |
| qwen3.8 27b | qwen | ₽42.80/M | ₽257/M | ₽2 140 |
| Kimi K2.5 | kimi k2.5 | ₽51.36/M | ₽257/M | ₽2 311 |
| morph · morph-v3-large | morph | ₽77.04/M | ₽163/M | ₽2 354 |
| glm 5.2 | z ai | ₽68.48/M | ₽218/M | ₽2 461 |
| Hy4 Preview | hy4 preview | ₽71.39/M | ₽214/M | ₽2 498 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽63.34/M | ₽253/M | ₽2 534 |
| qwen3.6 27b | qwen | ₽51.36/M | ₽308/M | ₽2 568 |
| grok build 0.1 | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| Nova Pro | amazon | ₽68.48/M | ₽274/M | ₽2 739 |
| gemini 3.6 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| gemini 3.7 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| GLM-5 | glm 5 | ₽85.60/M | ₽274/M | ₽3 082 |
| gpt 5.4 mini | openai | ₽64.20/M | ₽385/M | ₽3 210 |
| grok 4.20 multi agent | x ai | ₽107/M | ₽214/M | ₽3 210 |
| Grok 4.20 Multi Agent Beta | spacexai | ₽107/M | ₽214/M | ₽3 210 |
| Grok 4.20 Non-Reasoning | spacexai | ₽107/M | ₽214/M | ₽3 210 |
| Grok 4.20 Reasoning | spacexai | ₽107/M | ₽214/M | ₽3 210 |
| grok 4.3 | x ai | ₽107/M | ₽214/M | ₽3 210 |
| kimi k2.6 | moonshotai | ₽81.32/M | ₽342/M | ₽3 338 |
| kimi k2.7 code | moonshotai | ₽81.32/M | ₽342/M | ₽3 338 |
| Namazu | sakana | ₽81.32/M | ₽342/M | ₽3 338 |
| Inkling | Thinking Machines | ₽85.60/M | ₽347/M | ₽3 445 |
| glm 5 turbo | z ai | ₽103/M | ₽342/M | ₽3 766 |
| glm 5v turbo | z ai | ₽103/M | ₽342/M | ₽3 766 |
| O3 Mini | o3 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| O4 Mini | o4 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽85.60/M | ₽428/M | ₽3 852 |
| qwen3 coder plus | qwen | ₽85.60/M | ₽428/M | ₽3 852 |
| Muse Spark 1.1 | muse spark 1.1 | ₽107/M | ₽364/M | ₽3 959 |
| Muse Spark 1.2 | muse spark 1.2 | ₽107/M | ₽364/M | ₽3 959 |
| Interfaze Beta | interfaze | ₽128/M | ₽300/M | ₽4 066 |
| glm 5.1 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| glm 5.3 | z ai | ₽120/M | ₽377/M | ₽4 280 |
| GPT-4o Mini Transcribe | openai | ₽107/M | ₽428/M | ₽4 280 |
| Qwen3 Max | qwen3 max | ₽103/M | ₽514/M | ₽4 622 |
| DeepSeek R1 | deepseek r1 | ₽116/M | ₽462/M | ₽4 622 |
| Qwen 3.6 Max Preview | alibaba | ₽111/M | ₽668/M | ₽5 564 |
| mistral medium 3 5 | mistral medium 3 5 | ₽128/M | ₽642/M | ₽5 778 |
| qwen3 coder | qwen | ₽128/M | ₽642/M | ₽5 778 |
| grok 4.5 | x ai | ₽171/M | ₽514/M | ₽5 992 |
| grok 4.6 | grok 4.6 | ₽171/M | ₽514/M | ₽5 992 |
| Qwen3.8 2.4t A95B | qwen3.8 2.4t a95b | ₽171/M | ₽514/M | ₽5 992 |
| qwen3.8 max | qwen | ₽171/M | ₽514/M | ₽5 992 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽107/M | ₽856/M | ₽6 420 |
| gemini 3.5 flash | ₽128/M | ₽770/M | ₽6 420 | |
| Gemini Omni Flash | ₽128/M | ₽770/M | ₽6 420 | |
| gpt 5 codex | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 codex | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 codex max | openai | ₽107/M | ₽856/M | ₽6 420 |
| GPT-5 | gpt 5 | ₽107/M | ₽856/M | ₽6 420 |
| zai · glm-5.2 | zai | ₽180/M | ₽565/M | ₽6 420 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽163/M | ₽685/M | ₽6 677 |
| gpt 4.1 | openai | ₽171/M | ₽685/M | ₽6 848 |
| gpt image 1 mini | openai | ₽171/M | ₽685/M | ₽6 848 |
| O3 | o3 | ₽171/M | ₽685/M | ₽6 848 |
| qwen3.7 max | qwen | ₽214/M | ₽642/M | ₽7 490 |
| claude sonnet 5 | anthropic | ₽171/M | ₽856/M | ₽7 704 |
| gpt 5.6 sol | openai | ₽171/M | ₽856/M | ₽7 704 |
| Cohere Command A | cohere command a | ₽214/M | ₽856/M | ₽8 560 |
| gemini 3 pro image | ₽171/M | ₽1 027/M | ₽8 560 | |
| gemini 3.1 pro | ₽171/M | ₽1 027/M | ₽8 560 | |
| gemini 3.5 transcribe | gemini 3.5 transcribe | ₽171/M | ₽1 027/M | ₽8 560 |
| gpt 5.6 terra | openai | ₽171/M | ₽1 027/M | ₽8 560 |
| GPT-4o | gpt 4o | ₽214/M | ₽856/M | ₽8 560 |
| GPT-4o Transcribe | openai | ₽214/M | ₽856/M | ₽8 560 |
| gpt 5.2 | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.2 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.3 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.4 | openai | ₽214/M | ₽1 284/M | ₽10 700 |
| Claude Sonnet 4 | claude sonnet 4 | ₽257/M | ₽1 284/M | ₽11 556 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽257/M | ₽1 284/M | ₽11 556 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽257/M | ₽1 284/M | ₽11 556 |
| kimi k3 | moonshotai | ₽257/M | ₽1 284/M | ₽11 556 |
| gpt-realtime-1.5 | gpt realtime 1 5 | ₽342/M | ₽1 370/M | ₽13 696 |
| GPT-Realtime-2 | gpt realtime 2 | ₽342/M | ₽2 054/M | ₽17 120 |
| GPT-Realtime-2.1 | gpt realtime 2 1 | ₽342/M | ₽2 054/M | ₽17 120 |
| Claude Opus 4.5 | claude opus 4 5 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.6 | claude opus 4 6 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.7 | claude opus 4 7 | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 4.8 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 5 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| Fugu Ultra | sakana | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt 5.5 | openai | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt image 2 | gpt image 2 | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt image 1.5 | openai | ₽428/M | ₽2 739/M | ₽22 256 |
| gpt image 1 | openai | ₽428/M | ₽3 424/M | ₽25 680 |
| Grok TTS | spacexai | ₽1 284/M | ₽1 284/M | ₽25 680 |
| tts 1 | openai | ₽1 284/M | ₽1 284/M | ₽25 680 |
| gpt 4 turbo | openai | ₽856/M | ₽2 568/M | ₽29 960 |
| claude fable 5 | anthropic | ₽856/M | ₽4 280/M | ₽38 520 |
| O1 | o1 | ₽1 284/M | ₽5 136/M | ₽51 360 |
| tts 1 hd | openai | ₽2 568/M | ₽2 568/M | ₽51 360 |
| Claude Opus 4 | claude opus 4 | ₽1 284/M | ₽6 420/M | ₽57 780 |
| o3 pro | openai | ₽1 712/M | ₽6 848/M | ₽68 481 |
| gpt 5 pro | openai | ₽1 284/M | ₽10 272/M | ₽77 041 |
| gpt 5.2 pro | openai | ₽1 798/M | ₽14 381/M | ₽107 857 |
| gpt 5.4 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| gpt 5.5 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
О провайдере
О сервисе
Vercel AI Gateway — cloud control plane для AI apps на Vercel: один ключ, hundreds of models at provider list price. Конкурирует с OpenRouter и Requesty нулевой наценкой. Идеален для Vercel-deployed apps и AI SDK users. На AI-APISHKA — $/1M из pricing.input/output (per-token strings × 1M).
Как сравнивать на AI-APISHKA
Часто самый дешёвый gateway при одинаковой модели — 0% markup. Сравнивайте с OpenRouter (+~5%) и Requesty (+~5%). Без Vercel account — только API catalog comparison, billing через Vercel.
Частые вопросы
- Vercel AI Gateway — бесплатный?
- $5/month free credits на AI Gateway plan. Дальше — pay-as-you-go по provider list price без markup.
- Нужен ли Vercel проект?
- Для API key и billing — да, Vercel account. Catalog /v1/models публичен без авторизации.
- Чем отличается от OpenRouter?
- 0% markup vs ~5% у OpenRouter. Меньше моделей, но те же list prices. Лучше интеграция с Vercel AI SDK.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
Vercel AI Gateway предлагает 243 моделей AI API. Средняя цена — ₽277/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.0086/M (gemini 3.5 transcribe live).
Сравните цены на gemini 3.5 transcribe live , whisper 1 , gpt realtime whisper , seedream 5 0 pro и pplx-embed-v1-0.6b у других провайдеров или в каталоге агрегаторов . Данные обновлены 30.08.2026.