282 модели по list price — 0% markup, $5/mo free credits
- Моделей
- 351
- Средняя цена
- ₽294/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 = 83.76 ₽ · 1 CNY = 12.4991 ₽ · 16.10.2026
351 моделей
Текст и чат
оплата за токены · 350
▼
Текст и чат
оплата за токены · 350
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| gemini 3.5 transcribe live | ₽0.0084/M | ₽0.0084/M | ₽0 | |
| Transcribe 1 | Fish Audio | ₽0.0084/M | ₽0.0084/M | ₽0 |
| whisper 1 | OpenAI | ₽0.0084/M | ₽0.0084/M | ₽0 |
| gpt realtime whisper | OpenAI | ₽0.02/M | ₽0.02/M | ₽0 |
| seedream 5 0 pro | seedream 5 0 pro | ₽0.25/M | ₽0.25/M | ₽5 |
| Embed V1 0.6B | Perplexity | ₽0.34/M | ₽0.34/M | ₽7 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.84/M | ₽0.84/M | ₽17 |
| qwen3-embedding-0.6b | Qwen | ₽0.84/M | ₽0.84/M | ₽17 |
| d1 | LiquidAI | ₽1.68/M -50% ввод | ₽1.68/M | ₽34 |
| Decider V1.1 27B | Perplexity | ₽1.68/M | ₽1.68/M | ₽34 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.68/M | ₽1.68/M | ₽34 |
| text embedding 3 small | OpenAI | ₽1.68/M | ₽1.68/M | ₽34 |
| Titan Text Embeddings V2 | amazon | ₽1.68/M | ₽1.68/M | ₽34 |
| Voyage 3.5 Lite | voyage | ₽1.68/M | ₽1.68/M | ₽34 |
| Voyage 4 Lite | voyage | ₽1.68/M | ₽1.68/M | ₽34 |
| Voyage Rerank 2.5 Lite | voyage | ₽1.68/M | ₽1.68/M | ₽34 |
| Voyage Rerank 3 Lite | voyage | ₽1.68/M | ₽1.68/M | ₽34 |
| Text Embedding 005 | text embedding 005 | ₽2.09/M | ₽2.09/M | ₽42 |
| Text multilingual embedding 002 | ₽2.09/M | ₽2.09/M | ₽42 | |
| Embed V1 4B | Perplexity | ₽2.51/M | ₽2.51/M | ₽50 |
| mistral nemo | Mistral | ₽2.43/M | ₽2.51/M | ₽61 |
| Ling 3.0 Flash | inclusionAI | ₽1.76/M | ₽5.28/M | ₽62 |
| Jev — решения вместо текста | typesafe ai | ₽3.52/M | ₽3.52/M | ₽70 |
| Jev 1.13.0 | typesafe ai | ₽3.52/M | ₽3.52/M | ₽70 |
| Jev 1.14.0 | typesafe ai | ₽3.52/M | ₽3.52/M | ₽70 |
| Liquid d1 Ultra | liquid | ₽3.52/M | ₽3.52/M | ₽70 |
| Microsoft-Decision-1 | Microsoft | ₽3.52/M | ₽3.52/M | ₽70 |
| Classify-1 | scaledown | ₽4.19/M | ₽4.19/M | ₽84 |
| Voyage Rerank 2.5 | voyage | ₽4.19/M | ₽4.19/M | ₽84 |
| Voyage Rerank 3 | voyage | ₽4.19/M | ₽4.19/M | ₽84 |
| Voyage 3.5 | voyage | ₽5.03/M | ₽5.03/M | ₽101 |
| Voyage 4 | voyage | ₽5.03/M | ₽5.03/M | ₽101 |
| qwen3.7 flash | Qwen | ₽2.51/M | ₽10.89/M | ₽105 |
| gpt oss 20b | OpenAI | ₽2.51/M | ₽11.73/M | ₽109 |
| Schematron V2 Turbo | Inference.net | ₽2.51/M | ₽12.56/M | ₽113 |
| Amazon Nova Micro | nova micro | ₽2.93/M | ₽11.73/M | ₽117 |
| GPT-5 Nano (batch) | OpenAI | ₽2.09/M | ₽16.75/M | ₽126 |
| Mercury 2.5 | Inception | ₽3.35/M | ₽12.56/M | ₽130 |
| Embed 5 Fast | cohere | ₽6.70/M | ₽6.70/M | ₽134 |
| Tencent Hy-MT2-Lite | tencent | ₽3.69/M | ₽14.83/M | ₽148 |
| Gemini 2.5 Flash Lite (batch) | ₽4.19/M | ₽16.75/M | ₽168 | |
| GPT-4.1 Nano (batch) | OpenAI | ₽4.19/M | ₽16.75/M | ₽168 |
| GPT-6 Luna Decisions | OpenAI | ₽8.38/M | ₽8.38/M | ₽168 |
| Mistral Embed | Mistral | ₽8.38/M | ₽8.38/M | ₽168 |
| Nemotron 3 Nano 30B A3B | NVIDIA | ₽4.19/M | ₽16.75/M | ₽168 |
| Nemotron 3.5 Lightning | NVIDIA | ₽4.19/M | ₽16.75/M | ₽168 |
| Text Embedding ADA | text embedding ada | ₽8.38/M | ₽8.38/M | ₽168 |
| Schematron V2 Small | Inference.net | ₽4.19/M | ₽19.26/M | ₽180 |
| Claude Haiku 5.5 (batch) | Anthropic | ₽4.19/M | ₽20.94/M | ₽188 |
| GPT-6 Luna (batch) | OpenAI | ₽4.19/M | ₽20.94/M | ₽188 |
| deepseek v4 flash | DeepSeek | ₽6.37/M | ₽12.82/M | ₽191 |
| Nvidia Nemotron Nano 9B V2 | nemotron nano 9b v2 free | ₽5.03/M | ₽19.26/M | ₽197 |
| Nova Lite | nova lite | ₽5.03/M | ₽20.10/M | ₽201 |
| Embed 5 Pro | cohere | ₽10.05/M | ₽10.05/M | ₽201 |
| Embed v4.0 | cohere | ₽10.05/M | ₽10.05/M | ₽201 |
| gpt-oss-safeguard-20b | OpenAI | ₽5.86/M | ₽16.75/M | ₽201 |
| Voyage 4 Large | voyage | ₽10.05/M | ₽10.05/M | ₽201 |
| Voyage Code 2 | voyage | ₽10.05/M | ₽10.05/M | ₽201 |
| Voyage Finance 2 | voyage | ₽10.05/M | ₽10.05/M | ₽201 |
| Voyage Law 2 | voyage | ₽10.05/M | ₽10.05/M | ₽201 |
| Ministral 3B | ministral 3b | ₽8.38/M | ₽8.38/M | ₽209 |
| Ling 3.0 Flash Fin | inclusionAI | ₽6.28/M | ₽18.43/M | ₽218 |
| Ling 3.0 Flash Sante | inclusionAI | ₽6.28/M | ₽18.43/M | ₽218 |
| Ling 3.0 Flash VL | inclusionAI | ₽6.28/M | ₽18.43/M | ₽218 |
| text embedding 3 large | OpenAI | ₽10.89/M | ₽10.89/M | ₽218 |
| Laguna S 2.1 | Poolside | ₽7.54/M | ₽15.08/M | ₽226 |
| Hy-MT2 Plus | hy mt2 plus | ₽6.20/M | ₽24.71/M | ₽248 |
| Tencent Hy-MT2-Pro | tencent | ₽6.20/M | ₽24.71/M | ₽248 |
| gpt 5 nano | OpenAI | ₽4.19/M | ₽33.50/M | ₽251 |
| Muse Spark 1.2 Contributor | Meta | ₽8.38/M | ₽16.75/M | ₽251 |
| Muse Spark 1.3 Contributor | Meta | ₽8.38/M | ₽16.75/M | ₽251 |
| Codestral Embed | Mistral | ₽12.56/M | ₽12.56/M | ₽251 |
| gemini embedding exp | ₽12.56/M | ₽12.56/M | ₽251 | |
| GPT-4o-mini (batch) | OpenAI | ₽6.28/M | ₽25.13/M | ₽251 |
| GLM-4.7 FlashX | Z.ai | ₽5.03/M | ₽33.50/M | ₽268 |
| glm 4.7 flash | Z.ai | ₽5.86/M | ₽33.50/M | ₽285 |
| Qwen3 14B | Qwen | ₽10.05/M | ₽20.10/M | ₽302 |
| Voyage Code 3 | voyage | ₽15.08/M | ₽15.08/M | ₽302 |
| voyage-3-large | voyage | ₽15.08/M | ₽15.08/M | ₽302 |
| Ministral 8B | ministral 8b | ₽12.56/M | ₽12.56/M | ₽314 |
| gemini 2.5 flash lite | ₽8.38/M | ₽33.50/M | ₽335 | |
| gemini-embedding-2 (embedding) | ₽16.75/M | ₽16.75/M | ₽335 | |
| gpt 4.1 nano | OpenAI | ₽8.38/M | ₽33.50/M | ₽335 |
| Qwen3.5-Flash | alibaba | ₽8.38/M | ₽33.50/M | ₽335 |
| MiMo-V2.5 | Xiaomi | ₽11.73/M | ₽23.45/M | ₽352 |
| MiMo-V2.6-Flash | Xiaomi | ₽11.73/M | ₽23.45/M | ₽352 |
| claude haiku 5 5 | Anthropic | ₽8.38/M | ₽41.88/M | ₽377 |
| gpt 6 luna | OpenAI | ₽8.38/M | ₽41.88/M | ₽377 |
| gpt oss 120b | OpenAI | ₽8.38/M | ₽41.88/M | ₽377 |
| LFM2.5-24B-A2B | liquid | ₽4.19/M | ₽58.63/M | ₽377 |
| gemma 4 31b it | ₽11.73/M | ₽33.50/M | ₽402 | |
| Qwen3 30B A3B | Qwen | ₽10.05/M | ₽41.88/M | ₽410 |
| GPT-5.6 Luna (batch) | OpenAI | ₽8.38/M | ₽50.26/M | ₽419 |
| Ministral 14B | Mistral | ₽16.75/M | ₽16.75/M | ₽419 |
| GPT-5.4 Nano (batch) | OpenAI | ₽8.38/M | ₽52.35/M | ₽429 |
| qwen3.8 flash | Qwen | ₽12.56/M | ₽39.37/M | ₽448 |
| Qwen3.8 Omni Flash | Qwen | ₽12.56/M | ₽39.37/M | ₽448 |
| glm 5.3 flash | Z.ai | ₽12.56/M | ₽41.88/M | ₽461 |
| llama 3.1 8b | Meta | ₽18.43/M | ₽18.43/M | ₽461 |
| Hy3 | Tencent | ₽11.73/M | ₽48.58/M | ₽477 |
| gemma 4 26b a4b it | ₽12.56/M | ₽50.26/M | ₽503 | |
| gpt 4o mini | OpenAI | ₽12.56/M | ₽50.26/M | ₽503 |
| GPT OSS Safeguard 120B | OpenAI | ₽12.56/M | ₽50.26/M | ₽503 |
| Mistral Small | Mistral | ₽12.56/M | ₽50.26/M | ₽503 |
| Qwen 3 32B | Qwen | ₽12.56/M | ₽50.26/M | ₽503 |
| Qwen 3 Coder 30B A3B Instruct | Qwen | ₽12.56/M | ₽50.26/M | ₽503 |
| Gemini 3.1 Flash Lite (batch) | ₽10.47/M | ₽62.82/M | ₽524 | |
| Nemotron 3 Super | NVIDIA | ₽12.56/M | ₽54.44/M | ₽524 |
| Grok 4.1 Fast Non-Reasoning | xAI | ₽16.75/M | ₽41.88/M | ₽544 |
| Grok 4.1 Fast Reasoning | xAI | ₽16.75/M | ₽41.88/M | ₽544 |
| Nemotron 3.5 Super VL | NVIDIA | ₽16.75/M | ₽41.88/M | ₽544 |
| Llama 4 Scout | Meta | ₽14.24/M | ₽55.28/M | ₽561 |
| nemotron nano 12b v2 vl | NVIDIA | ₽16.75/M | ₽50.26/M | ₽586 |
| GPT-5 Mini (batch) | OpenAI | ₽10.47/M | ₽83.76/M | ₽628 |
| deepseek v4 flash vision | DeepSeek | ₽18.06/M | ₽54.18/M | ₽632 |
| GPT-4.1 Mini (batch) | OpenAI | ₽16.75/M | ₽67.01/M | ₽670 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽16.75/M | ₽73.71/M | ₽704 |
| Mercury 2 | Inception | ₽20.94/M | ₽62.82/M | ₽733 |
| Qwen3 235B A22B | Qwen | ₽18.43/M | ₽73.71/M | ₽737 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.56/M | ₽101/M | ₽754 |
| Trinity Large Thinking | Arcee AI | ₽20.94/M | ₽67.01/M | ₽754 |
| MiMo-V2.5-Pro | Xiaomi | ₽25.50/M | ₽51.01/M | ₽765 |
| Gemini 2.5 Flash (batch) | ₽12.56/M | ₽105/M | ₽775 | |
| Gemini 3.5 Flash Lite (batch) | ₽12.56/M | ₽105/M | ₽775 | |
| GLM 4.5 Air | Z.ai | ₽16.75/M | ₽92.14/M | ₽796 |
| Toast 1 | mixedbread | ₽25.13/M | ₽60.31/M | ₽804 |
| Llama 4 Maverick | Meta | ₽20.10/M | ₽81.25/M | ₽808 |
| Step 3.7 Flash | StepFun | ₽16.75/M | ₽96.32/M | ₽817 |
| deepseek v3.1 | DeepSeek | ₽20.94/M | ₽79.57/M | ₽817 |
| gpt 5.6 luna | OpenAI | ₽16.75/M | ₽101/M | ₽838 |
| Mercury Coder Small Beta | inception | ₽20.94/M | ₽83.76/M | ₽838 |
| gpt 5.4 nano | OpenAI | ₽16.75/M | ₽105/M | ₽859 |
| Ling 3.1 Flash | inclusionAI | ₽25.13/M | ₽75.38/M | ₽879 |
| Mistral Codestral | Mistral | ₽25.13/M | ₽75.38/M | ₽879 |
| deepseek v4.1 flash | DeepSeek | ₽25.13/M | ₽101/M | ₽1 005 |
| LongCat 2.5 Preview | meituan | ₽25.13/M | ₽101/M | ₽1 005 |
| MiniMax M2 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| MiniMax M2.1 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| MiniMax M2.5 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| minimax m2.7 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| minimax m3 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| Gemini 3 Flash (Batch) | ₽20.94/M | ₽126/M | ₽1 047 | |
| gemini 3.1 flash lite | ₽20.94/M | ₽126/M | ₽1 047 | |
| gemini 3.1 flash lite image | ₽20.94/M | ₽126/M | ₽1 047 | |
| MiMo-V2.6-Pro | Xiaomi | ₽36.44/M | ₽72.87/M | ₽1 093 |
| qwen3 coder | Qwen | ₽18.43/M | ₽151/M | ₽1 122 |
| GLM 5.3 FlashX | Z.ai | ₽30.99/M | ₽105/M | ₽1 143 |
| Muse Glimmer 30B | Meta | ₽29.32/M | ₽126/M | ₽1 215 |
| ByteDance Seed 1.8 | ByteDance | ₽20.94/M | ₽168/M | ₽1 256 |
| gpt 5 mini | OpenAI | ₽20.94/M | ₽168/M | ₽1 256 |
| GPT-5.1-Codex-Mini | OpenAI | ₽20.94/M | ₽168/M | ₽1 256 |
| seed 1.6 | seed 1.6 | ₽20.94/M | ₽168/M | ₽1 256 |
| Inkling Small | Thinking Machines | ₽37.69/M | ₽101/M | ₽1 256 |
| gpt 4.1 mini | OpenAI | ₽33.50/M | ₽134/M | ₽1 340 |
| qwen3.7 plus | Qwen | ₽33.50/M | ₽134/M | ₽1 340 |
| qwen3 coder next | Qwen | ₽41.88/M | ₽101/M | ₽1 340 |
| Gemini 3.6 Flash (batch) | ₽31.41/M | ₽157/M | ₽1 413 | |
| Gemini 3.7 Flash (batch) | ₽31.41/M | ₽157/M | ₽1 413 | |
| gpt 3.5 turbo | OpenAI | ₽41.88/M | ₽126/M | ₽1 466 |
| Mistral Large 3 | Mistral | ₽41.88/M | ₽126/M | ₽1 466 |
| Sonar | perplexity | ₽20.94/M | ₽209/M | ₽1 466 |
| llama 3.1 70b | Meta | ₽60.31/M | ₽60.31/M | ₽1 508 |
| Llama 3.3 70B | Meta | ₽60.31/M | ₽60.31/M | ₽1 508 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽25.13/M | ₽201/M | ₽1 508 |
| gemini 2.5 flash | ₽25.13/M | ₽209/M | ₽1 550 | |
| gemini 2.5 flash image | ₽25.13/M | ₽209/M | ₽1 550 | |
| gemini 3.5 flash lite | ₽25.13/M | ₽209/M | ₽1 550 | |
| Nova 2 Lite | amazon | ₽25.13/M | ₽209/M | ₽1 550 |
| GPT-5.4 Mini (batch) | OpenAI | ₽31.41/M | ₽188/M | ₽1 571 |
| qwen3.5 plus | qwen3.5 plus | ₽33.50/M | ₽201/M | ₽1 675 |
| GLM 4.5V | Z.ai | ₽50.26/M | ₽151/M | ₽1 759 |
| deepseek v3.2 | DeepSeek | ₽51.93/M | ₽155/M | ₽1 813 |
| Morph V3 Fast | Morph | ₽67.01/M | ₽101/M | ₽1 843 |
| Claude Haiku 4.5 (batch) | Anthropic | ₽41.88/M | ₽209/M | ₽1 885 |
| seed 2.1 turbo | seed 2.1 turbo | ₽41.88/M | ₽209/M | ₽1 885 |
| Kimi K2 0711 | MoonshotAI | ₽47.74/M | ₽193/M | ₽1 918 |
| GLM 4.5 | Z.ai | ₽50.26/M | ₽184/M | ₽1 926 |
| GLM 4.6 | Z.ai | ₽50.26/M | ₽184/M | ₽1 926 |
| glm 4.7 | Z.ai | ₽50.26/M | ₽184/M | ₽1 926 |
| deepseek v4 pro | DeepSeek | ₽55.28/M | ₽166/M | ₽1 935 |
| GPT Realtime Mini | OpenAI | ₽50.26/M | ₽201/M | ₽2 010 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽50.26/M | ₽201/M | ₽2 010 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽50.26/M | ₽201/M | ₽2 010 |
| Nemotron 3 Ultra | NVIDIA | ₽50.26/M | ₽201/M | ₽2 010 |
| Mistral Large 4 | Mistral | ₽56.96/M | ₽175/M | ₽2 014 |
| Apex | callstack | ₽41.88/M | ₽251/M | ₽2 094 |
| gemini 3 flash | ₽41.88/M | ₽251/M | ₽2 094 | |
| Qwen3.6 Plus | Qwen | ₽41.88/M | ₽251/M | ₽2 094 |
| qwen3.8 27b | Qwen | ₽41.88/M | ₽251/M | ₽2 094 |
| Kimi K2.5 | MoonshotAI | ₽50.26/M | ₽251/M | ₽2 262 |
| Morph V3 Large | Morph | ₽75.38/M | ₽159/M | ₽2 303 |
| glm 5.2 | Z.ai | ₽67.01/M | ₽214/M | ₽2 408 |
| Hy4 preview | Tencent | ₽69.86/M | ₽209/M | ₽2 445 |
| qwen3.6 27b | Qwen | ₽50.26/M | ₽302/M | ₽2 513 |
| Grok 4.20 Multi-Agent (Batch) | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| Grok 4.20 Non-Reasoning (Batch) | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| Grok 4.20 Reasoning (Batch) | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| Grok 4.3 (batch) | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| Grok Build 0.1 | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| Nova Pro | nova pro | ₽67.01/M | ₽268/M | ₽2 680 |
| Step 5 Preview | StepFun | ₽83.76/M | ₽226/M | ₽2 806 |
| gemini 3.6 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| gemini 3.7 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| gemini 3.8 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| glm 5 | Z.ai | ₽83.76/M | ₽268/M | ₽3 015 |
| Gemini 2.5 Pro (batch) | ₽52.35/M | ₽419/M | ₽3 141 | |
| Gemini 3.5 Flash (batch) | ₽62.82/M | ₽377/M | ₽3 141 | |
| gemini 3.8 live | ₽62.82/M | ₽377/M | ₽3 141 | |
| gpt 5.4 mini | OpenAI | ₽62.82/M | ₽377/M | ₽3 141 |
| GPT-5 (batch) | OpenAI | ₽52.35/M | ₽419/M | ₽3 141 |
| Grok 4.20 Multi Agent Beta | xAI | ₽105/M | ₽209/M | ₽3 141 |
| Grok 4.20 Multi-Agent | xAI | ₽105/M | ₽209/M | ₽3 141 |
| Grok 4.20 Non-Reasoning | xAI | ₽105/M | ₽209/M | ₽3 141 |
| Grok 4.20 Reasoning | xAI | ₽105/M | ₽209/M | ₽3 141 |
| grok 4.3 | xAI | ₽105/M | ₽209/M | ₽3 141 |
| kimi k2.6 | MoonshotAI | ₽79.57/M | ₽335/M | ₽3 267 |
| kimi k2.7 code | MoonshotAI | ₽79.57/M | ₽335/M | ₽3 267 |
| sakana namazu | sakana namazu | ₽79.57/M | ₽335/M | ₽3 267 |
| gemini 3.8 flash lite tts | ₽41.88/M | ₽503/M | ₽3 350 | |
| GPT-4.1 (batch) | OpenAI | ₽83.76/M | ₽335/M | ₽3 350 |
| Inkling | Thinking Machines | ₽83.76/M | ₽339/M | ₽3 371 |
| glm 5 turbo | Z.ai | ₽101/M | ₽335/M | ₽3 685 |
| GLM 5V Turbo | Z.ai | ₽101/M | ₽335/M | ₽3 685 |
| o3 mini | OpenAI | ₽92.14/M | ₽369/M | ₽3 685 |
| o4 mini | OpenAI | ₽92.14/M | ₽369/M | ₽3 685 |
| claude haiku 4.5 | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| Claude Sonnet 5 (batch) | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| Claude Sonnet 5.5 (batch) | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| GPT-6 Sol (batch) | OpenAI | ₽83.76/M | ₽419/M | ₽3 769 |
| GPT-6.1 Sol (batch) | OpenAI | ₽83.76/M | ₽419/M | ₽3 769 |
| Muse Spark 1.1 | Meta | ₽105/M | ₽356/M | ₽3 874 |
| Muse Spark 1.2 | Meta | ₽105/M | ₽356/M | ₽3 874 |
| Muse Spark 1.3 | Meta | ₽105/M | ₽356/M | ₽3 874 |
| Muse Spark Open | Meta | ₽105/M | ₽356/M | ₽3 874 |
| Interfaze Beta | interfaze | ₽126/M | ₽293/M | ₽3 979 |
| Gemini 3.1 Pro Preview (batch) | ₽83.76/M | ₽503/M | ₽4 188 | |
| glm 5.1 | Z.ai | ₽117/M | ₽369/M | ₽4 188 |
| glm 5.3 | Z.ai | ₽117/M | ₽369/M | ₽4 188 |
| gpt 4o mini transcribe | OpenAI | ₽105/M | ₽419/M | ₽4 188 |
| GPT-4o (batch) | OpenAI | ₽105/M | ₽419/M | ₽4 188 |
| GPT-5.6 Terra (batch) | OpenAI | ₽83.76/M | ₽503/M | ₽4 188 |
| GPT-5.2 (batch) | OpenAI | ₽73.29/M | ₽586/M | ₽4 397 |
| deepseek r1 | DeepSeek | ₽113/M | ₽452/M | ₽4 523 |
| Qwen3 Max | Qwen | ₽101/M | ₽503/M | ₽4 523 |
| gemini 3.8 flash tts | ₽41.88/M | ₽754/M | ₽4 607 | |
| GPT-5.4 (batch) | OpenAI | ₽105/M | ₽628/M | ₽5 235 |
| Claude Sonnet 4.5 (batch) | Anthropic | ₽126/M | ₽628/M | ₽5 654 |
| Claude Sonnet 4.6 (batch) | Anthropic | ₽126/M | ₽628/M | ₽5 654 |
| Mistral Medium 3.5 | Mistral | ₽126/M | ₽628/M | ₽5 654 |
| Nano Banana 2.1 | ₽126/M | ₽628/M | ₽5 654 | |
| Fugu Max | Sakana | ₽168/M | ₽503/M | ₽5 863 |
| grok 4.5 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| grok 4.6 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| grok 4.7 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| Qwen3.8 2.4T A95B | Qwen | ₽168/M | ₽503/M | ₽5 863 |
| qwen3.8 max | Qwen | ₽168/M | ₽503/M | ₽5 863 |
| gemini 2.5 pro | ₽105/M | ₽838/M | ₽6 282 | |
| gemini 3.5 flash | ₽126/M | ₽754/M | ₽6 282 | |
| Gemini Omni Flash | ₽126/M | ₽754/M | ₽6 282 | |
| gpt 5 | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| gpt 5 codex | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| gpt 5.1 | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| GPT-5.1-Codex | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| GPT-5.1-Codex-Max | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| zai · glm-5.3 | Z.ai | ₽176/M | ₽553/M | ₽6 282 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽159/M | ₽670/M | ₽6 533 |
| gpt 4.1 | OpenAI | ₽168/M | ₽670/M | ₽6 701 |
| gpt image 1 mini | OpenAI | ₽168/M | ₽670/M | ₽6 701 |
| O3 | OpenAI | ₽168/M | ₽670/M | ₽6 701 |
| qwen3.7 max | Qwen | ₽209/M | ₽628/M | ₽7 329 |
| Claude Opus 5.5 (batch) | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| claude sonnet 5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| Claude Sonnet 5.5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| Gemini 4 Argon | ₽168/M | ₽838/M | ₽7 538 | |
| gpt 6 sol | OpenAI | ₽168/M | ₽838/M | ₽7 538 |
| gpt 6.1 sol | OpenAI | ₽168/M | ₽838/M | ₽7 538 |
| GPT-5.6 Sol (batch) | OpenAI | ₽168/M | ₽838/M | ₽7 538 |
| Command A | Cohere | ₽209/M | ₽838/M | ₽8 376 |
| Gemini 3.1 Pro | ₽168/M | ₽1 005/M | ₽8 376 | |
| gemini 3.5 transcribe | ₽168/M | ₽1 005/M | ₽8 376 | |
| gpt 4o | OpenAI | ₽209/M | ₽838/M | ₽8 376 |
| gpt 4o transcribe | OpenAI | ₽209/M | ₽838/M | ₽8 376 |
| gpt 5.6 terra | OpenAI | ₽168/M | ₽1 005/M | ₽8 376 |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽168/M | ₽1 005/M | ₽8 376 | |
| zai · glm-5.2 | Z.ai | ₽235/M | ₽737/M | ₽8 376 |
| gpt 5.2 | OpenAI | ₽147/M | ₽1 173/M | ₽8 795 |
| gpt 5.3 codex | OpenAI | ₽147/M | ₽1 173/M | ₽8 795 |
| GPT-5.2-Codex | OpenAI | ₽147/M | ₽1 173/M | ₽8 795 |
| Claude Opus 4.5 (batch) | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| Claude Opus 4.6 (batch) | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| Claude Opus 4.7 (batch) | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| Claude Opus 4.8 (batch) | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| Claude Opus 5 (batch) | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| gpt 5.4 | OpenAI | ₽209/M | ₽1 256/M | ₽10 470 |
| GPT-5.5 (batch) | OpenAI | ₽209/M | ₽1 256/M | ₽10 470 |
| Mai Image 2.6 Flash | mai image 2.6 flash | ₽147/M | ₽1 591/M | ₽10 889 |
| MiMo-V2.6-Pro-UltraSpeed | Xiaomi | ₽364/M | ₽729/M | ₽10 931 |
| Claude Sonnet 4 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| claude sonnet 4.5 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| claude sonnet 4.6 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| Ember-1 | Fireworks | ₽251/M | ₽1 256/M | ₽11 308 |
| kimi k3 | MoonshotAI | ₽251/M | ₽1 256/M | ₽11 308 |
| qwen3.8 max prime | Qwen | ₽335/M | ₽1 005/M | ₽11 726 |
| gpt-realtime-1.5 | OpenAI | ₽335/M | ₽1 340/M | ₽13 402 |
| Arrow 2 | quiverai | ₽335/M | ₽1 675/M | ₽15 077 |
| claude opus 5.5 | Anthropic | ₽335/M | ₽1 675/M | ₽15 077 |
| gpt 5.6 sol | OpenAI | ₽335/M | ₽1 675/M | ₽15 077 |
| Muse Wonder | Meta | ₽335/M | ₽1 675/M | ₽15 077 |
| Drama 3 | Fish Audio | ₽838/M | ₽838/M | ₽16 752 |
| GPT Realtime 2.1 | OpenAI | ₽335/M | ₽2 010/M | ₽16 752 |
| GPT-Realtime-2 | OpenAI | ₽335/M | ₽2 010/M | ₽16 752 |
| Claude Fable 5 (batch) | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| Claude Fable 5.1 (batch) | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.6 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.7 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.8 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| GPT-6 Astra (batch) | OpenAI | ₽419/M | ₽2 094/M | ₽18 846 |
| Fugu Ultra | Sakana | ₽419/M | ₽2 513/M | ₽20 940 |
| gpt 5.5 | OpenAI | ₽419/M | ₽2 513/M | ₽20 940 |
| gpt image 2 | OpenAI | ₽419/M | ₽2 513/M | ₽20 940 |
| gpt image 2.5 flare | OpenAI | ₽419/M | ₽2 513/M | ₽20 940 |
| gpt image 2.5 sunburst | OpenAI | ₽419/M | ₽2 513/M | ₽20 940 |
| gpt image 1.5 | OpenAI | ₽419/M | ₽2 680/M | ₽21 778 |
| Arrow 2 Telos | quiverai | ₽503/M | ₽2 513/M | ₽22 615 |
| Mai Image 2.6 | mai image 2.6 | ₽419/M | ₽3 183/M | ₽24 290 |
| gpt image 1 | OpenAI | ₽419/M | ₽3 350/M | ₽25 128 |
| Grok TTS | xAI | ₽1 256/M | ₽1 256/M | ₽25 128 |
| MAI-Voice-2-Flash | Microsoft AI | ₽1 256/M | ₽1 256/M | ₽25 128 |
| MAI-Voice-2.1-Flash | Microsoft AI | ₽1 256/M | ₽1 256/M | ₽25 128 |
| S1 | Fish Audio | ₽1 256/M | ₽1 256/M | ₽25 128 |
| S2 Pro | Fish Audio | ₽1 256/M | ₽1 256/M | ₽25 128 |
| S2.1 Pro | Fish Audio | ₽1 256/M | ₽1 256/M | ₽25 128 |
| tts 1 | OpenAI | ₽1 256/M | ₽1 256/M | ₽25 128 |
| gpt 4 turbo | OpenAI | ₽838/M | ₽2 513/M | ₽29 316 |
| MAI-Voice-2 | Microsoft AI | ₽1 843/M | ₽1 843/M | ₽36 854 |
| MAI-Voice-2.1 | Microsoft AI | ₽1 843/M | ₽1 843/M | ₽36 854 |
| claude fable 5 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
| claude fable 5.1 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
| gpt 6 astra | OpenAI | ₽838/M | ₽4 188/M | ₽37 692 |
| GPT-5 Pro (batch) | OpenAI | ₽628/M | ₽5 026/M | ₽37 692 |
| o1 | OpenAI | ₽1 256/M | ₽5 026/M | ₽50 256 |
| tts 1 hd | OpenAI | ₽2 513/M | ₽2 513/M | ₽50 256 |
| GPT-5.5 Pro (batch) | OpenAI | ₽1 256/M | ₽7 538/M | ₽62 820 |
| o3 Pro | OpenAI | ₽1 675/M | ₽6 701/M | ₽67 008 |
| GPT-5 Pro | OpenAI | ₽1 256/M | ₽10 051/M | ₽75 384 |
| GPT-5.2 Pro | OpenAI | ₽1 759/M | ₽14 072/M | ₽105 538 |
| gpt 5.4 pro | OpenAI | ₽2 513/M | ₽15 077/M | ₽125 640 |
| gpt 5.5 pro | OpenAI | ₽2 513/M | ₽15 077/M | ₽125 640 |
Текст и чат
оплата за токены · 350
▼
Текст и чат
оплата за токены · 350
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| gemini 3.5 transcribe live | ₽0.0084/M | ₽0.0084/M | ₽0 | |
| Transcribe 1 | Fish Audio | ₽0.0084/M | ₽0.0084/M | ₽0 |
| whisper 1 | OpenAI | ₽0.0084/M | ₽0.0084/M | ₽0 |
| gpt realtime whisper | OpenAI | ₽0.02/M | ₽0.02/M | ₽0 |
| seedream 5 0 pro | seedream 5 0 pro | ₽0.25/M | ₽0.25/M | ₽5 |
| Embed V1 0.6B | Perplexity | ₽0.34/M | ₽0.34/M | ₽7 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.84/M | ₽0.84/M | ₽17 |
| qwen3-embedding-0.6b | Qwen | ₽0.84/M | ₽0.84/M | ₽17 |
| d1 | LiquidAI | ₽1.68/M -50% ввод | ₽1.68/M | ₽34 |
| Decider V1.1 27B | Perplexity | ₽1.68/M | ₽1.68/M | ₽34 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽1.68/M | ₽1.68/M | ₽34 |
| text embedding 3 small | OpenAI | ₽1.68/M | ₽1.68/M | ₽34 |
| Titan Text Embeddings V2 | amazon | ₽1.68/M | ₽1.68/M | ₽34 |
| Voyage 3.5 Lite | voyage | ₽1.68/M | ₽1.68/M | ₽34 |
| Voyage 4 Lite | voyage | ₽1.68/M | ₽1.68/M | ₽34 |
| Voyage Rerank 2.5 Lite | voyage | ₽1.68/M | ₽1.68/M | ₽34 |
| Voyage Rerank 3 Lite | voyage | ₽1.68/M | ₽1.68/M | ₽34 |
| Text Embedding 005 | text embedding 005 | ₽2.09/M | ₽2.09/M | ₽42 |
| Text multilingual embedding 002 | ₽2.09/M | ₽2.09/M | ₽42 | |
| Embed V1 4B | Perplexity | ₽2.51/M | ₽2.51/M | ₽50 |
| mistral nemo | Mistral | ₽2.43/M | ₽2.51/M | ₽61 |
| Ling 3.0 Flash | inclusionAI | ₽1.76/M | ₽5.28/M | ₽62 |
| Jev — решения вместо текста | typesafe ai | ₽3.52/M | ₽3.52/M | ₽70 |
| Jev 1.13.0 | typesafe ai | ₽3.52/M | ₽3.52/M | ₽70 |
| Jev 1.14.0 | typesafe ai | ₽3.52/M | ₽3.52/M | ₽70 |
| Liquid d1 Ultra | liquid | ₽3.52/M | ₽3.52/M | ₽70 |
| Microsoft-Decision-1 | Microsoft | ₽3.52/M | ₽3.52/M | ₽70 |
| Classify-1 | scaledown | ₽4.19/M | ₽4.19/M | ₽84 |
| Voyage Rerank 2.5 | voyage | ₽4.19/M | ₽4.19/M | ₽84 |
| Voyage Rerank 3 | voyage | ₽4.19/M | ₽4.19/M | ₽84 |
| Voyage 3.5 | voyage | ₽5.03/M | ₽5.03/M | ₽101 |
| Voyage 4 | voyage | ₽5.03/M | ₽5.03/M | ₽101 |
| qwen3.7 flash | Qwen | ₽2.51/M | ₽10.89/M | ₽105 |
| gpt oss 20b | OpenAI | ₽2.51/M | ₽11.73/M | ₽109 |
| Schematron V2 Turbo | Inference.net | ₽2.51/M | ₽12.56/M | ₽113 |
| Amazon Nova Micro | nova micro | ₽2.93/M | ₽11.73/M | ₽117 |
| GPT-5 Nano (batch) | OpenAI | ₽2.09/M | ₽16.75/M | ₽126 |
| Mercury 2.5 | Inception | ₽3.35/M | ₽12.56/M | ₽130 |
| Embed 5 Fast | cohere | ₽6.70/M | ₽6.70/M | ₽134 |
| Tencent Hy-MT2-Lite | tencent | ₽3.69/M | ₽14.83/M | ₽148 |
| Gemini 2.5 Flash Lite (batch) | ₽4.19/M | ₽16.75/M | ₽168 | |
| GPT-4.1 Nano (batch) | OpenAI | ₽4.19/M | ₽16.75/M | ₽168 |
| GPT-6 Luna Decisions | OpenAI | ₽8.38/M | ₽8.38/M | ₽168 |
| Mistral Embed | Mistral | ₽8.38/M | ₽8.38/M | ₽168 |
| Nemotron 3 Nano 30B A3B | NVIDIA | ₽4.19/M | ₽16.75/M | ₽168 |
| Nemotron 3.5 Lightning | NVIDIA | ₽4.19/M | ₽16.75/M | ₽168 |
| Text Embedding ADA | text embedding ada | ₽8.38/M | ₽8.38/M | ₽168 |
| Schematron V2 Small | Inference.net | ₽4.19/M | ₽19.26/M | ₽180 |
| Claude Haiku 5.5 (batch) | Anthropic | ₽4.19/M | ₽20.94/M | ₽188 |
| GPT-6 Luna (batch) | OpenAI | ₽4.19/M | ₽20.94/M | ₽188 |
| deepseek v4 flash | DeepSeek | ₽6.37/M | ₽12.82/M | ₽191 |
| Nvidia Nemotron Nano 9B V2 | nemotron nano 9b v2 free | ₽5.03/M | ₽19.26/M | ₽197 |
| Nova Lite | nova lite | ₽5.03/M | ₽20.10/M | ₽201 |
| Embed 5 Pro | cohere | ₽10.05/M | ₽10.05/M | ₽201 |
| Embed v4.0 | cohere | ₽10.05/M | ₽10.05/M | ₽201 |
| gpt-oss-safeguard-20b | OpenAI | ₽5.86/M | ₽16.75/M | ₽201 |
| Voyage 4 Large | voyage | ₽10.05/M | ₽10.05/M | ₽201 |
| Voyage Code 2 | voyage | ₽10.05/M | ₽10.05/M | ₽201 |
| Voyage Finance 2 | voyage | ₽10.05/M | ₽10.05/M | ₽201 |
| Voyage Law 2 | voyage | ₽10.05/M | ₽10.05/M | ₽201 |
| Ministral 3B | ministral 3b | ₽8.38/M | ₽8.38/M | ₽209 |
| Ling 3.0 Flash Fin | inclusionAI | ₽6.28/M | ₽18.43/M | ₽218 |
| Ling 3.0 Flash Sante | inclusionAI | ₽6.28/M | ₽18.43/M | ₽218 |
| Ling 3.0 Flash VL | inclusionAI | ₽6.28/M | ₽18.43/M | ₽218 |
| text embedding 3 large | OpenAI | ₽10.89/M | ₽10.89/M | ₽218 |
| Laguna S 2.1 | Poolside | ₽7.54/M | ₽15.08/M | ₽226 |
| Hy-MT2 Plus | hy mt2 plus | ₽6.20/M | ₽24.71/M | ₽248 |
| Tencent Hy-MT2-Pro | tencent | ₽6.20/M | ₽24.71/M | ₽248 |
| gpt 5 nano | OpenAI | ₽4.19/M | ₽33.50/M | ₽251 |
| Muse Spark 1.2 Contributor | Meta | ₽8.38/M | ₽16.75/M | ₽251 |
| Muse Spark 1.3 Contributor | Meta | ₽8.38/M | ₽16.75/M | ₽251 |
| Codestral Embed | Mistral | ₽12.56/M | ₽12.56/M | ₽251 |
| gemini embedding exp | ₽12.56/M | ₽12.56/M | ₽251 | |
| GPT-4o-mini (batch) | OpenAI | ₽6.28/M | ₽25.13/M | ₽251 |
| GLM-4.7 FlashX | Z.ai | ₽5.03/M | ₽33.50/M | ₽268 |
| glm 4.7 flash | Z.ai | ₽5.86/M | ₽33.50/M | ₽285 |
| Qwen3 14B | Qwen | ₽10.05/M | ₽20.10/M | ₽302 |
| Voyage Code 3 | voyage | ₽15.08/M | ₽15.08/M | ₽302 |
| voyage-3-large | voyage | ₽15.08/M | ₽15.08/M | ₽302 |
| Ministral 8B | ministral 8b | ₽12.56/M | ₽12.56/M | ₽314 |
| gemini 2.5 flash lite | ₽8.38/M | ₽33.50/M | ₽335 | |
| gemini-embedding-2 (embedding) | ₽16.75/M | ₽16.75/M | ₽335 | |
| gpt 4.1 nano | OpenAI | ₽8.38/M | ₽33.50/M | ₽335 |
| Qwen3.5-Flash | alibaba | ₽8.38/M | ₽33.50/M | ₽335 |
| MiMo-V2.5 | Xiaomi | ₽11.73/M | ₽23.45/M | ₽352 |
| MiMo-V2.6-Flash | Xiaomi | ₽11.73/M | ₽23.45/M | ₽352 |
| claude haiku 5 5 | Anthropic | ₽8.38/M | ₽41.88/M | ₽377 |
| gpt 6 luna | OpenAI | ₽8.38/M | ₽41.88/M | ₽377 |
| gpt oss 120b | OpenAI | ₽8.38/M | ₽41.88/M | ₽377 |
| LFM2.5-24B-A2B | liquid | ₽4.19/M | ₽58.63/M | ₽377 |
| gemma 4 31b it | ₽11.73/M | ₽33.50/M | ₽402 | |
| Qwen3 30B A3B | Qwen | ₽10.05/M | ₽41.88/M | ₽410 |
| GPT-5.6 Luna (batch) | OpenAI | ₽8.38/M | ₽50.26/M | ₽419 |
| Ministral 14B | Mistral | ₽16.75/M | ₽16.75/M | ₽419 |
| GPT-5.4 Nano (batch) | OpenAI | ₽8.38/M | ₽52.35/M | ₽429 |
| qwen3.8 flash | Qwen | ₽12.56/M | ₽39.37/M | ₽448 |
| Qwen3.8 Omni Flash | Qwen | ₽12.56/M | ₽39.37/M | ₽448 |
| glm 5.3 flash | Z.ai | ₽12.56/M | ₽41.88/M | ₽461 |
| llama 3.1 8b | Meta | ₽18.43/M | ₽18.43/M | ₽461 |
| Hy3 | Tencent | ₽11.73/M | ₽48.58/M | ₽477 |
| gemma 4 26b a4b it | ₽12.56/M | ₽50.26/M | ₽503 | |
| gpt 4o mini | OpenAI | ₽12.56/M | ₽50.26/M | ₽503 |
| GPT OSS Safeguard 120B | OpenAI | ₽12.56/M | ₽50.26/M | ₽503 |
| Mistral Small | Mistral | ₽12.56/M | ₽50.26/M | ₽503 |
| Qwen 3 32B | Qwen | ₽12.56/M | ₽50.26/M | ₽503 |
| Qwen 3 Coder 30B A3B Instruct | Qwen | ₽12.56/M | ₽50.26/M | ₽503 |
| Gemini 3.1 Flash Lite (batch) | ₽10.47/M | ₽62.82/M | ₽524 | |
| Nemotron 3 Super | NVIDIA | ₽12.56/M | ₽54.44/M | ₽524 |
| Grok 4.1 Fast Non-Reasoning | xAI | ₽16.75/M | ₽41.88/M | ₽544 |
| Grok 4.1 Fast Reasoning | xAI | ₽16.75/M | ₽41.88/M | ₽544 |
| Nemotron 3.5 Super VL | NVIDIA | ₽16.75/M | ₽41.88/M | ₽544 |
| Llama 4 Scout | Meta | ₽14.24/M | ₽55.28/M | ₽561 |
| nemotron nano 12b v2 vl | NVIDIA | ₽16.75/M | ₽50.26/M | ₽586 |
| GPT-5 Mini (batch) | OpenAI | ₽10.47/M | ₽83.76/M | ₽628 |
| deepseek v4 flash vision | DeepSeek | ₽18.06/M | ₽54.18/M | ₽632 |
| GPT-4.1 Mini (batch) | OpenAI | ₽16.75/M | ₽67.01/M | ₽670 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽16.75/M | ₽73.71/M | ₽704 |
| Mercury 2 | Inception | ₽20.94/M | ₽62.82/M | ₽733 |
| Qwen3 235B A22B | Qwen | ₽18.43/M | ₽73.71/M | ₽737 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.56/M | ₽101/M | ₽754 |
| Trinity Large Thinking | Arcee AI | ₽20.94/M | ₽67.01/M | ₽754 |
| MiMo-V2.5-Pro | Xiaomi | ₽25.50/M | ₽51.01/M | ₽765 |
| Gemini 2.5 Flash (batch) | ₽12.56/M | ₽105/M | ₽775 | |
| Gemini 3.5 Flash Lite (batch) | ₽12.56/M | ₽105/M | ₽775 | |
| GLM 4.5 Air | Z.ai | ₽16.75/M | ₽92.14/M | ₽796 |
| Toast 1 | mixedbread | ₽25.13/M | ₽60.31/M | ₽804 |
| Llama 4 Maverick | Meta | ₽20.10/M | ₽81.25/M | ₽808 |
| Step 3.7 Flash | StepFun | ₽16.75/M | ₽96.32/M | ₽817 |
| deepseek v3.1 | DeepSeek | ₽20.94/M | ₽79.57/M | ₽817 |
| gpt 5.6 luna | OpenAI | ₽16.75/M | ₽101/M | ₽838 |
| Mercury Coder Small Beta | inception | ₽20.94/M | ₽83.76/M | ₽838 |
| gpt 5.4 nano | OpenAI | ₽16.75/M | ₽105/M | ₽859 |
| Ling 3.1 Flash | inclusionAI | ₽25.13/M | ₽75.38/M | ₽879 |
| Mistral Codestral | Mistral | ₽25.13/M | ₽75.38/M | ₽879 |
| deepseek v4.1 flash | DeepSeek | ₽25.13/M | ₽101/M | ₽1 005 |
| LongCat 2.5 Preview | meituan | ₽25.13/M | ₽101/M | ₽1 005 |
| MiniMax M2 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| MiniMax M2.1 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| MiniMax M2.5 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| minimax m2.7 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| minimax m3 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| Gemini 3 Flash (Batch) | ₽20.94/M | ₽126/M | ₽1 047 | |
| gemini 3.1 flash lite | ₽20.94/M | ₽126/M | ₽1 047 | |
| gemini 3.1 flash lite image | ₽20.94/M | ₽126/M | ₽1 047 | |
| MiMo-V2.6-Pro | Xiaomi | ₽36.44/M | ₽72.87/M | ₽1 093 |
| qwen3 coder | Qwen | ₽18.43/M | ₽151/M | ₽1 122 |
| GLM 5.3 FlashX | Z.ai | ₽30.99/M | ₽105/M | ₽1 143 |
| Muse Glimmer 30B | Meta | ₽29.32/M | ₽126/M | ₽1 215 |
| ByteDance Seed 1.8 | ByteDance | ₽20.94/M | ₽168/M | ₽1 256 |
| gpt 5 mini | OpenAI | ₽20.94/M | ₽168/M | ₽1 256 |
| GPT-5.1-Codex-Mini | OpenAI | ₽20.94/M | ₽168/M | ₽1 256 |
| seed 1.6 | seed 1.6 | ₽20.94/M | ₽168/M | ₽1 256 |
| Inkling Small | Thinking Machines | ₽37.69/M | ₽101/M | ₽1 256 |
| gpt 4.1 mini | OpenAI | ₽33.50/M | ₽134/M | ₽1 340 |
| qwen3.7 plus | Qwen | ₽33.50/M | ₽134/M | ₽1 340 |
| qwen3 coder next | Qwen | ₽41.88/M | ₽101/M | ₽1 340 |
| Gemini 3.6 Flash (batch) | ₽31.41/M | ₽157/M | ₽1 413 | |
| Gemini 3.7 Flash (batch) | ₽31.41/M | ₽157/M | ₽1 413 | |
| gpt 3.5 turbo | OpenAI | ₽41.88/M | ₽126/M | ₽1 466 |
| Mistral Large 3 | Mistral | ₽41.88/M | ₽126/M | ₽1 466 |
| Sonar | perplexity | ₽20.94/M | ₽209/M | ₽1 466 |
| llama 3.1 70b | Meta | ₽60.31/M | ₽60.31/M | ₽1 508 |
| Llama 3.3 70B | Meta | ₽60.31/M | ₽60.31/M | ₽1 508 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽25.13/M | ₽201/M | ₽1 508 |
| gemini 2.5 flash | ₽25.13/M | ₽209/M | ₽1 550 | |
| gemini 2.5 flash image | ₽25.13/M | ₽209/M | ₽1 550 | |
| gemini 3.5 flash lite | ₽25.13/M | ₽209/M | ₽1 550 | |
| Nova 2 Lite | amazon | ₽25.13/M | ₽209/M | ₽1 550 |
| GPT-5.4 Mini (batch) | OpenAI | ₽31.41/M | ₽188/M | ₽1 571 |
| qwen3.5 plus | qwen3.5 plus | ₽33.50/M | ₽201/M | ₽1 675 |
| GLM 4.5V | Z.ai | ₽50.26/M | ₽151/M | ₽1 759 |
| deepseek v3.2 | DeepSeek | ₽51.93/M | ₽155/M | ₽1 813 |
| Morph V3 Fast | Morph | ₽67.01/M | ₽101/M | ₽1 843 |
| Claude Haiku 4.5 (batch) | Anthropic | ₽41.88/M | ₽209/M | ₽1 885 |
| seed 2.1 turbo | seed 2.1 turbo | ₽41.88/M | ₽209/M | ₽1 885 |
| Kimi K2 0711 | MoonshotAI | ₽47.74/M | ₽193/M | ₽1 918 |
| GLM 4.5 | Z.ai | ₽50.26/M | ₽184/M | ₽1 926 |
| GLM 4.6 | Z.ai | ₽50.26/M | ₽184/M | ₽1 926 |
| glm 4.7 | Z.ai | ₽50.26/M | ₽184/M | ₽1 926 |
| deepseek v4 pro | DeepSeek | ₽55.28/M | ₽166/M | ₽1 935 |
| GPT Realtime Mini | OpenAI | ₽50.26/M | ₽201/M | ₽2 010 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽50.26/M | ₽201/M | ₽2 010 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽50.26/M | ₽201/M | ₽2 010 |
| Nemotron 3 Ultra | NVIDIA | ₽50.26/M | ₽201/M | ₽2 010 |
| Mistral Large 4 | Mistral | ₽56.96/M | ₽175/M | ₽2 014 |
| Apex | callstack | ₽41.88/M | ₽251/M | ₽2 094 |
| gemini 3 flash | ₽41.88/M | ₽251/M | ₽2 094 | |
| Qwen3.6 Plus | Qwen | ₽41.88/M | ₽251/M | ₽2 094 |
| qwen3.8 27b | Qwen | ₽41.88/M | ₽251/M | ₽2 094 |
| Kimi K2.5 | MoonshotAI | ₽50.26/M | ₽251/M | ₽2 262 |
| Morph V3 Large | Morph | ₽75.38/M | ₽159/M | ₽2 303 |
| glm 5.2 | Z.ai | ₽67.01/M | ₽214/M | ₽2 408 |
| Hy4 preview | Tencent | ₽69.86/M | ₽209/M | ₽2 445 |
| qwen3.6 27b | Qwen | ₽50.26/M | ₽302/M | ₽2 513 |
| Grok 4.20 Multi-Agent (Batch) | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| Grok 4.20 Non-Reasoning (Batch) | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| Grok 4.20 Reasoning (Batch) | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| Grok 4.3 (batch) | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| Grok Build 0.1 | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| Nova Pro | nova pro | ₽67.01/M | ₽268/M | ₽2 680 |
| Step 5 Preview | StepFun | ₽83.76/M | ₽226/M | ₽2 806 |
| gemini 3.6 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| gemini 3.7 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| gemini 3.8 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| glm 5 | Z.ai | ₽83.76/M | ₽268/M | ₽3 015 |
| Gemini 2.5 Pro (batch) | ₽52.35/M | ₽419/M | ₽3 141 | |
| Gemini 3.5 Flash (batch) | ₽62.82/M | ₽377/M | ₽3 141 | |
| gemini 3.8 live | ₽62.82/M | ₽377/M | ₽3 141 | |
| gpt 5.4 mini | OpenAI | ₽62.82/M | ₽377/M | ₽3 141 |
| GPT-5 (batch) | OpenAI | ₽52.35/M | ₽419/M | ₽3 141 |
| Grok 4.20 Multi Agent Beta | xAI | ₽105/M | ₽209/M | ₽3 141 |
| Grok 4.20 Multi-Agent | xAI | ₽105/M | ₽209/M | ₽3 141 |
| Grok 4.20 Non-Reasoning | xAI | ₽105/M | ₽209/M | ₽3 141 |
| Grok 4.20 Reasoning | xAI | ₽105/M | ₽209/M | ₽3 141 |
| grok 4.3 | xAI | ₽105/M | ₽209/M | ₽3 141 |
| kimi k2.6 | MoonshotAI | ₽79.57/M | ₽335/M | ₽3 267 |
| kimi k2.7 code | MoonshotAI | ₽79.57/M | ₽335/M | ₽3 267 |
| sakana namazu | sakana namazu | ₽79.57/M | ₽335/M | ₽3 267 |
| gemini 3.8 flash lite tts | ₽41.88/M | ₽503/M | ₽3 350 | |
| GPT-4.1 (batch) | OpenAI | ₽83.76/M | ₽335/M | ₽3 350 |
| Inkling | Thinking Machines | ₽83.76/M | ₽339/M | ₽3 371 |
| glm 5 turbo | Z.ai | ₽101/M | ₽335/M | ₽3 685 |
| GLM 5V Turbo | Z.ai | ₽101/M | ₽335/M | ₽3 685 |
| o3 mini | OpenAI | ₽92.14/M | ₽369/M | ₽3 685 |
| o4 mini | OpenAI | ₽92.14/M | ₽369/M | ₽3 685 |
| claude haiku 4.5 | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| Claude Sonnet 5 (batch) | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| Claude Sonnet 5.5 (batch) | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| GPT-6 Sol (batch) | OpenAI | ₽83.76/M | ₽419/M | ₽3 769 |
| GPT-6.1 Sol (batch) | OpenAI | ₽83.76/M | ₽419/M | ₽3 769 |
| Muse Spark 1.1 | Meta | ₽105/M | ₽356/M | ₽3 874 |
| Muse Spark 1.2 | Meta | ₽105/M | ₽356/M | ₽3 874 |
| Muse Spark 1.3 | Meta | ₽105/M | ₽356/M | ₽3 874 |
| Muse Spark Open | Meta | ₽105/M | ₽356/M | ₽3 874 |
| Interfaze Beta | interfaze | ₽126/M | ₽293/M | ₽3 979 |
| Gemini 3.1 Pro Preview (batch) | ₽83.76/M | ₽503/M | ₽4 188 | |
| glm 5.1 | Z.ai | ₽117/M | ₽369/M | ₽4 188 |
| glm 5.3 | Z.ai | ₽117/M | ₽369/M | ₽4 188 |
| gpt 4o mini transcribe | OpenAI | ₽105/M | ₽419/M | ₽4 188 |
| GPT-4o (batch) | OpenAI | ₽105/M | ₽419/M | ₽4 188 |
| GPT-5.6 Terra (batch) | OpenAI | ₽83.76/M | ₽503/M | ₽4 188 |
| GPT-5.2 (batch) | OpenAI | ₽73.29/M | ₽586/M | ₽4 397 |
| deepseek r1 | DeepSeek | ₽113/M | ₽452/M | ₽4 523 |
| Qwen3 Max | Qwen | ₽101/M | ₽503/M | ₽4 523 |
| gemini 3.8 flash tts | ₽41.88/M | ₽754/M | ₽4 607 | |
| GPT-5.4 (batch) | OpenAI | ₽105/M | ₽628/M | ₽5 235 |
| Claude Sonnet 4.5 (batch) | Anthropic | ₽126/M | ₽628/M | ₽5 654 |
| Claude Sonnet 4.6 (batch) | Anthropic | ₽126/M | ₽628/M | ₽5 654 |
| Mistral Medium 3.5 | Mistral | ₽126/M | ₽628/M | ₽5 654 |
| Nano Banana 2.1 | ₽126/M | ₽628/M | ₽5 654 | |
| Fugu Max | Sakana | ₽168/M | ₽503/M | ₽5 863 |
| grok 4.5 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| grok 4.6 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| grok 4.7 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| Qwen3.8 2.4T A95B | Qwen | ₽168/M | ₽503/M | ₽5 863 |
| qwen3.8 max | Qwen | ₽168/M | ₽503/M | ₽5 863 |
| gemini 2.5 pro | ₽105/M | ₽838/M | ₽6 282 | |
| gemini 3.5 flash | ₽126/M | ₽754/M | ₽6 282 | |
| Gemini Omni Flash | ₽126/M | ₽754/M | ₽6 282 | |
| gpt 5 | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| gpt 5 codex | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| gpt 5.1 | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| GPT-5.1-Codex | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| GPT-5.1-Codex-Max | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| zai · glm-5.3 | Z.ai | ₽176/M | ₽553/M | ₽6 282 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽159/M | ₽670/M | ₽6 533 |
| gpt 4.1 | OpenAI | ₽168/M | ₽670/M | ₽6 701 |
| gpt image 1 mini | OpenAI | ₽168/M | ₽670/M | ₽6 701 |
| O3 | OpenAI | ₽168/M | ₽670/M | ₽6 701 |
| qwen3.7 max | Qwen | ₽209/M | ₽628/M | ₽7 329 |
| Claude Opus 5.5 (batch) | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| claude sonnet 5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| Claude Sonnet 5.5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| Gemini 4 Argon | ₽168/M | ₽838/M | ₽7 538 | |
| gpt 6 sol | OpenAI | ₽168/M | ₽838/M | ₽7 538 |
| gpt 6.1 sol | OpenAI | ₽168/M | ₽838/M | ₽7 538 |
| GPT-5.6 Sol (batch) | OpenAI | ₽168/M | ₽838/M | ₽7 538 |
| Command A | Cohere | ₽209/M | ₽838/M | ₽8 376 |
| Gemini 3.1 Pro | ₽168/M | ₽1 005/M | ₽8 376 | |
| gemini 3.5 transcribe | ₽168/M | ₽1 005/M | ₽8 376 | |
| gpt 4o | OpenAI | ₽209/M | ₽838/M | ₽8 376 |
| gpt 4o transcribe | OpenAI | ₽209/M | ₽838/M | ₽8 376 |
| gpt 5.6 terra | OpenAI | ₽168/M | ₽1 005/M | ₽8 376 |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽168/M | ₽1 005/M | ₽8 376 | |
| zai · glm-5.2 | Z.ai | ₽235/M | ₽737/M | ₽8 376 |
| gpt 5.2 | OpenAI | ₽147/M | ₽1 173/M | ₽8 795 |
| gpt 5.3 codex | OpenAI | ₽147/M | ₽1 173/M | ₽8 795 |
| GPT-5.2-Codex | OpenAI | ₽147/M | ₽1 173/M | ₽8 795 |
| Claude Opus 4.5 (batch) | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| Claude Opus 4.6 (batch) | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| Claude Opus 4.7 (batch) | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| Claude Opus 4.8 (batch) | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| Claude Opus 5 (batch) | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| gpt 5.4 | OpenAI | ₽209/M | ₽1 256/M | ₽10 470 |
| GPT-5.5 (batch) | OpenAI | ₽209/M | ₽1 256/M | ₽10 470 |
| Mai Image 2.6 Flash | mai image 2.6 flash | ₽147/M | ₽1 591/M | ₽10 889 |
| MiMo-V2.6-Pro-UltraSpeed | Xiaomi | ₽364/M | ₽729/M | ₽10 931 |
| Claude Sonnet 4 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| claude sonnet 4.5 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| claude sonnet 4.6 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| Ember-1 | Fireworks | ₽251/M | ₽1 256/M | ₽11 308 |
| kimi k3 | MoonshotAI | ₽251/M | ₽1 256/M | ₽11 308 |
| qwen3.8 max prime | Qwen | ₽335/M | ₽1 005/M | ₽11 726 |
| gpt-realtime-1.5 | OpenAI | ₽335/M | ₽1 340/M | ₽13 402 |
| Arrow 2 | quiverai | ₽335/M | ₽1 675/M | ₽15 077 |
| claude opus 5.5 | Anthropic | ₽335/M | ₽1 675/M | ₽15 077 |
| gpt 5.6 sol | OpenAI | ₽335/M | ₽1 675/M | ₽15 077 |
| Muse Wonder | Meta | ₽335/M | ₽1 675/M | ₽15 077 |
| Drama 3 | Fish Audio | ₽838/M | ₽838/M | ₽16 752 |
| GPT Realtime 2.1 | OpenAI | ₽335/M | ₽2 010/M | ₽16 752 |
| GPT-Realtime-2 | OpenAI | ₽335/M | ₽2 010/M | ₽16 752 |
| Claude Fable 5 (batch) | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| Claude Fable 5.1 (batch) | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.6 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.7 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.8 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| GPT-6 Astra (batch) | OpenAI | ₽419/M | ₽2 094/M | ₽18 846 |
| Fugu Ultra | Sakana | ₽419/M | ₽2 513/M | ₽20 940 |
| gpt 5.5 | OpenAI | ₽419/M | ₽2 513/M | ₽20 940 |
| gpt image 2 | OpenAI | ₽419/M | ₽2 513/M | ₽20 940 |
| gpt image 2.5 flare | OpenAI | ₽419/M | ₽2 513/M | ₽20 940 |
| gpt image 2.5 sunburst | OpenAI | ₽419/M | ₽2 513/M | ₽20 940 |
| gpt image 1.5 | OpenAI | ₽419/M | ₽2 680/M | ₽21 778 |
| Arrow 2 Telos | quiverai | ₽503/M | ₽2 513/M | ₽22 615 |
| Mai Image 2.6 | mai image 2.6 | ₽419/M | ₽3 183/M | ₽24 290 |
| gpt image 1 | OpenAI | ₽419/M | ₽3 350/M | ₽25 128 |
| Grok TTS | xAI | ₽1 256/M | ₽1 256/M | ₽25 128 |
| MAI-Voice-2-Flash | Microsoft AI | ₽1 256/M | ₽1 256/M | ₽25 128 |
| MAI-Voice-2.1-Flash | Microsoft AI | ₽1 256/M | ₽1 256/M | ₽25 128 |
| S1 | Fish Audio | ₽1 256/M | ₽1 256/M | ₽25 128 |
| S2 Pro | Fish Audio | ₽1 256/M | ₽1 256/M | ₽25 128 |
| S2.1 Pro | Fish Audio | ₽1 256/M | ₽1 256/M | ₽25 128 |
| tts 1 | OpenAI | ₽1 256/M | ₽1 256/M | ₽25 128 |
| gpt 4 turbo | OpenAI | ₽838/M | ₽2 513/M | ₽29 316 |
| MAI-Voice-2 | Microsoft AI | ₽1 843/M | ₽1 843/M | ₽36 854 |
| MAI-Voice-2.1 | Microsoft AI | ₽1 843/M | ₽1 843/M | ₽36 854 |
| claude fable 5 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
| claude fable 5.1 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
| gpt 6 astra | OpenAI | ₽838/M | ₽4 188/M | ₽37 692 |
| GPT-5 Pro (batch) | OpenAI | ₽628/M | ₽5 026/M | ₽37 692 |
| o1 | OpenAI | ₽1 256/M | ₽5 026/M | ₽50 256 |
| tts 1 hd | OpenAI | ₽2 513/M | ₽2 513/M | ₽50 256 |
| GPT-5.5 Pro (batch) | OpenAI | ₽1 256/M | ₽7 538/M | ₽62 820 |
| o3 Pro | OpenAI | ₽1 675/M | ₽6 701/M | ₽67 008 |
| GPT-5 Pro | OpenAI | ₽1 256/M | ₽10 051/M | ₽75 384 |
| GPT-5.2 Pro | OpenAI | ₽1 759/M | ₽14 072/M | ₽105 538 |
| gpt 5.4 pro | OpenAI | ₽2 513/M | ₽15 077/M | ₽125 640 |
| gpt 5.5 pro | OpenAI | ₽2 513/M | ₽15 077/M | ₽125 640 |
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 351 моделей AI API. Средняя цена — ₽294/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.0084/M (gemini 3.5 transcribe live).
Сравните цены на gemini 3.5 transcribe live , Transcribe 1 , whisper 1 , gpt realtime whisper и seedream 5 0 pro у других провайдеров или в каталоге агрегаторов . Данные обновлены 15.10.2026.