OpenRouter
Сайт ↗400+ моделей, 60+ провайдеров — стандарт индустрии LLM API
- Моделей
- 367
- Средняя цена
- ₽342/M
- Регион
- Зарубежный · сайт на английский
- Оплата
- USD (доллары), Credits (предоплата)
- Биллинг
- за токены
- API
- OpenAI-compatible
Сайт и документация на английском
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
Токенов/мес
In/Out
Валюта
Токенов/мес
In/Out
Валюта
25M токенов/мес · ввод 80% / вывод 20%Цены в ₽ · 1 USD = 82.9977 ₽ · 1 CNY = 12.278 ₽ · 13.08.2026
365 моделей
Текст и чат
оплата за токены · 351
▼
Текст и чат
оплата за токены · 351
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Ling-2.6-flash | inclusionai | ₽0.83/M | ₽2.49/M | ₽29 |
| mistralai · mistral-nemo | mistralai | ₽1.58/M | ₽2.49/M | ₽44 |
| Ling-3.0-flash | inclusionai | ₽1.74/M | ₽5.23/M | ₽61 |
| granite-4.0-h-micro | ibm granite | ₽1.41/M | ₽9.30/M | ₽75 |
| Nex-N2-Mini | nex agi | ₽2.07/M | ₽8.30/M | ₽83 |
| Llama 3 8B Lunaris | sao10k | ₽3.32/M | ₽4.15/M | ₽87 |
| Solar Pro 4 | upstage | ₽2.49/M | ₽9.96/M | ₽100 |
| gpt oss 20b | openai | ₽2.49/M | ₽10.79/M | ₽104 |
| Qwen3.7 Flash | qwen3.7 flash | ₽2.49/M | ₽10.79/M | ₽104 |
| Amazon Nova Micro | nova micro | ₽2.90/M | ₽11.62/M | ₽116 |
| Llama 3.1 8B | llama 3.1 8b | ₽4.15/M | ₽6.64/M | ₽116 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽4.15/M | ₽6.64/M | ₽116 |
| gpt oss 120b | openai | ₽2.49/M | ₽14.11/M | ₽120 |
| Gemma 3 4B It | gemma 3 4b it | ₽4.15/M | ₽8.30/M | ₽124 |
| GPT-5 Nano (batch) | OpenAI | ₽2.07/M | ₽16.60/M | ₽124 |
| Granite 4.1 8B | ibm granite | ₽4.15/M | ₽8.30/M | ₽124 |
| Command R7B (12-2024) | cohere | ₽3.11/M | ₽12.45/M | ₽124 |
| Mythomax L2 13B | Gryphe | ₽4.98/M | ₽4.98/M | ₽124 |
| llama 3.2 1b:free | meta llama | ₽2.24/M | ₽16.68/M | ₽128 |
| gemma 3 12b it | ₽4.15/M | ₽12.45/M | ₽145 | |
| gemma 3n e4b it | ₽4.98/M | ₽9.96/M | ₽149 | |
| Laguna XS 2.1 | poolside | ₽4.98/M | ₽9.96/M | ₽149 |
| qwen3 30b a3b instruct 2507 | qwen | ₽4.00/M | ₽16.02/M | ₽160 |
| Gemini 2.5 Flash Lite (batch) | ₽4.15/M | ₽16.60/M | ₽166 | |
| GPT-4.1 Nano (batch) | OpenAI | ₽4.15/M | ₽16.60/M | ₽166 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽4.15/M | ₽16.60/M | ₽166 |
| Phi 4 | Microsoft | ₽5.81/M | ₽11.62/M | ₽174 |
| Hy3 | hy3 | ₽5.23/M | ₽17.43/M | ₽192 |
| Nova Lite | amazon | ₽4.98/M | ₽19.92/M | ₽199 |
| mistralai · ministral-3b-2512 | mistralai | ₽8.30/M | ₽8.30/M | ₽207 |
| Reka Edge | rekaai | ₽8.30/M | ₽8.30/M | ₽207 |
| deepseek v4 flash | deepseek | ₽6.64/M | ₽14.94/M | ₽207 |
| Qwen3.5 Flash | alibaba | ₽5.39/M | ₽21.58/M | ₽216 |
| Llama 3.2 3B | llama 3.2 3b | ₽4.15/M | ₽27.39/M | ₽220 |
| Laguna S 2.1 | Poolside | ₽7.47/M | ₽14.94/M | ₽224 |
| qwen3.5 9b | qwen | ₽8.30/M | ₽12.45/M | ₽228 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽5.81/M | ₽23.24/M | ₽232 |
| deepseek v4 flash · latest | yandex | ₽6.64/M | ₽20.92/M | ₽237 |
| GPT-5 Nano | gpt 5 nano | ₽4.15/M | ₽33.20/M | ₽249 |
| qwen 2.5 7b instruct | qwen | ₽8.30/M | ₽16.60/M | ₽249 |
| Reka Flash 3 | rekaai | ₽8.30/M | ₽16.60/M | ₽249 |
| UI-TARS 7B | ByteDance | ₽8.30/M | ₽16.60/M | ₽249 |
| gpt oss safeguard 20b | openai | ₽6.22/M | ₽24.90/M | ₽249 |
| GPT-4o-mini (batch) | OpenAI | ₽6.22/M | ₽24.90/M | ₽249 |
| qwen3 32b | qwen | ₽6.64/M | ₽23.24/M | ₽249 |
| Seed 1.6 Flash | bytedance seed | ₽6.22/M | ₽24.90/M | ₽249 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽7.78/M | ₽20.75/M | ₽259 |
| glm 4.7 flash | z ai | ₽4.98/M | ₽33.20/M | ₽266 |
| Nemotron 3.5 Lightning | NVIDIA | ₽8.30/M | ₽20.75/M | ₽270 |
| Llama 4 Scout | llama 4 scout | ₽8.30/M | ₽24.90/M | ₽290 |
| Step 3.5 Flash | step 3.5 flash | ₽8.30/M | ₽24.90/M | ₽290 |
| Voxtral Small 24B 2507 | mistralai | ₽8.30/M | ₽24.90/M | ₽290 |
| Llama 3.3 70B | llama 3.3 70b | ₽8.30/M | ₽26.56/M | ₽299 |
| qwen3 14b | qwen | ₽9.96/M | ₽19.92/M | ₽299 |
| gemma 4 31b it | ₽8.30/M | ₽28.22/M | ₽307 | |
| Nemotron 3 Super 120B-A12B | nvidia | ₽7.05/M | ₽33.20/M | ₽307 |
| mistralai · ministral-8b-2512 | mistralai | ₽12.45/M | ₽12.45/M | ₽311 |
| gemma 3 27b it | ₽6.64/M | ₽37.35/M | ₽320 | |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.30/M | ₽33.20/M | ₽332 |
| gpt 4.1 nano | openai | ₽8.30/M | ₽33.20/M | ₽332 |
| Seed-2.0-Mini | bytedance seed | ₽8.30/M | ₽33.20/M | ₽332 |
| qwen3 vl 32b instruct | qwen | ₽8.63/M | ₽34.53/M | ₽345 |
| mimo v2.5 | mimo v2.5 | ₽11.62/M | ₽23.24/M | ₽349 |
| gemma 4 26b a4b it | ₽9.96/M | ₽33.20/M | ₽365 | |
| llama guard 4 12b | meta llama | ₽14.94/M | ₽14.94/M | ₽373 |
| qwen3 235b a22b 2507 | qwen | ₽7.47/M | ₽45.65/M | ₽378 |
| Hermes 4 70B | nousresearch | ₽10.79/M | ₽33.20/M | ₽382 |
| qwen3 8b | qwen | ₽9.71/M | ₽37.76/M | ₽383 |
| qwen3 vl 8b instruct | qwen | ₽9.71/M | ₽37.76/M | ₽383 |
| Ling-2.6-1T | inclusionai | ₽6.22/M | ₽51.87/M | ₽384 |
| Ring-2.6-1T | inclusionai | ₽6.22/M | ₽51.87/M | ₽384 |
| qwen3 30b a3b | qwen | ₽9.96/M | ₽41.50/M | ₽407 |
| gpt 5.6 luna | openai | ₽8.30/M | ₽49.80/M | ₽415 |
| gpt 5.6 luna pro | openai | ₽8.30/M | ₽49.80/M | ₽415 |
| GPT-5.6 Luna (batch) | OpenAI | ₽8.30/M | ₽49.80/M | ₽415 |
| GPT-5.6 Luna Pro (batch) | OpenAI | ₽8.30/M | ₽49.80/M | ₽415 |
| mistralai · ministral-14b-2512 | mistralai | ₽16.60/M | ₽16.60/M | ₽415 |
| GPT-5.4 Nano (batch) | OpenAI | ₽8.30/M | ₽51.87/M | ₽425 |
| Olmo 3 32B Think | allenai | ₽12.45/M | ₽41.50/M | ₽456 |
| hunyuan a13b | hunyuan a13b | ₽11.62/M | ₽47.31/M | ₽469 |
| Command R | command r | ₽12.45/M | ₽49.80/M | ₽498 |
| GPT-4o Mini | gpt 4o mini | ₽12.45/M | ₽49.80/M | ₽498 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽12.45/M | ₽49.80/M | ₽498 |
| MiniMax M3 (batch) | MiniMax | ₽12.45/M | ₽49.80/M | ₽498 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽12.45/M | ₽49.80/M | ₽498 |
| Small 4 | mistralai | ₽12.45/M | ₽49.80/M | ₽498 |
| Solar Pro 3 | upstage | ₽12.45/M | ₽49.80/M | ₽498 |
| Gemini 3.1 Flash Lite (batch) | ₽10.37/M | ₽62.25/M | ₽519 | |
| qwen3 coder next | qwen | ₽9.96/M | ₽66.40/M | ₽531 |
| glm 4.5 air | z ai | ₽10.79/M | ₽70.55/M | ₽569 |
| mistralai · mistral-saba | mistralai | ₽16.60/M | ₽49.80/M | ₽581 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽7.47/M | ₽91.30/M | ₽606 |
| deepseek v3.2 | deepseek | ₽22.33/M | ₽33.20/M | ₽613 |
| Llama 4 Maverick | llama 4 maverick | ₽16.60/M | ₽57.77/M | ₽621 |
| GPT-5 Mini (batch) | OpenAI | ₽10.37/M | ₽83.00/M | ₽622 |
| Rocinante 12B | thedrummer | ₽20.75/M | ₽41.50/M | ₽622 |
| GPT-4.1 Mini (batch) | OpenAI | ₽16.60/M | ₽66.40/M | ₽664 |
| qwen3.6 35b a3b | qwen | ₽12.45/M | ₽83.00/M | ₽664 |
| Uncensored | Venice | ₽16.60/M | ₽74.70/M | ₽705 |
| Cydonia 24B V4.1 | thedrummer | ₽24.90/M | ₽41.50/M | ₽705 |
| Trinity Large Preview | Arcee AI | ₽18.26/M | ₽70.55/M | ₽718 |
| GPT-3.5 Turbo (batch) | OpenAI | ₽20.75/M | ₽62.25/M | ₽726 |
| Mercury 2 | inception | ₽20.75/M | ₽62.25/M | ₽726 |
| qwen2.5 vl 72b instruct | qwen | ₽20.75/M | ₽62.25/M | ₽726 |
| qwen3 coder flash | qwen | ₽16.18/M | ₽80.92/M | ₽728 |
| minimax m2.5 | minimax | ₽18.26/M | ₽74.70/M | ₽739 |
| Qwen Plus | qwen plus | ₽21.58/M | ₽64.74/M | ₽755 |
| qwen 2.5 72b instruct | qwen | ₽29.88/M | ₽33.20/M | ₽764 |
| Gemini 2.5 Flash (batch) | ₽12.45/M | ₽104/M | ₽768 | |
| Gemini 3.5 Flash Lite (batch) | ₽12.45/M | ₽104/M | ₽768 | |
| qwen3.6 flash | qwen | ₽15.56/M | ₽93.37/M | ₽778 |
| minimax 01 | minimax | ₽16.60/M | ₽91.30/M | ₽788 |
| Step 3.7 Flash | step 3.7 flash | ₽16.60/M | ₽95.45/M | ₽809 |
| deepseek chat v3.1 | deepseek | ₽20.75/M | ₽78.85/M | ₽809 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽29.13/M | ₽46.06/M | ₽813 |
| llama 3.1 70b | llama 3.1 70b | ₽33.20/M | ₽33.20/M | ₽830 |
| UnslopNemo 12B | thedrummer | ₽33.20/M | ₽33.20/M | ₽830 |
| Nex-N2-Pro | nex agi | ₽20.75/M | ₽83.00/M | ₽830 |
| deepseek v3.1 terminus | deepseek | ₽22.41/M | ₽78.85/M | ₽842 |
| minimax m2 | minimax | ₽21.16/M | ₽84.66/M | ₽847 |
| gpt 5.4 nano | openai | ₽16.60/M | ₽104/M | ₽851 |
| DeepSeek Chat (V3) | deepseek chat | ₽21.36/M | ₽85.38/M | ₽854 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽21.58/M | ₽86.32/M | ₽863 |
| Mk1 | perceptron | ₽12.45/M | ₽124/M | ₽871 |
| glm 4.6v | z ai | ₽24.90/M | ₽74.70/M | ₽871 |
| mistralai · codestral-2508 | mistralai | ₽24.90/M | ₽74.70/M | ₽871 |
| qwen3 coder | qwen | ₽24.90/M | ₽83.00/M | ₽913 |
| Claude 3 Haiku | Anthropic | ₽20.75/M | ₽104/M | ₽934 |
| qwen3.5 35b a3b | qwen | ₽20.75/M | ₽104/M | ₽934 |
| qwen3.5 27b | qwen | ₽16.18/M | ₽129/M | ₽971 |
| KAT-Coder-Pro V1 | kwaipilot | ₽24.90/M | ₽99.60/M | ₽996 |
| LongCat 2.0 | meituan | ₽24.90/M | ₽99.60/M | ₽996 |
| minimax m2 her | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| minimax m2.1 | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| minimax m2.7 | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| minimax m3 | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| ReMM-SLERP-L2-13B | undi95 | ₽37.35/M | ₽53.95/M | ₽1 017 |
| Gemini 3 Flash Preview (batch) | ₽20.75/M | ₽124/M | ₽1 037 | |
| gemini 3.1 flash lite | ₽20.75/M | ₽124/M | ₽1 037 | |
| gemini 3.1 flash lite image | ₽20.75/M | ₽124/M | ₽1 037 | |
| qwen3.7 plus | qwen | ₽26.56/M | ₽106/M | ₽1 062 |
| qwen3.5 plus | qwen3.5 plus | ₽21.58/M | ₽129/M | ₽1 079 |
| deepseek v4 pro | deepseek | ₽36.10/M | ₽72.21/M | ₽1 083 |
| mimo v2.5 pro | mimo v2.5 pro | ₽36.10/M | ₽72.21/M | ₽1 083 |
| Weaver (alpha) | mancer | ₽41.50/M | ₽62.25/M | ₽1 141 |
| Muse Glimmer 30B | Meta | ₽29.05/M | ₽124/M | ₽1 203 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽34.86/M | ₽104/M | ₽1 216 |
| gpt 5.1 codex mini | openai | ₽20.75/M | ₽166/M | ₽1 245 |
| GPT-5 Mini | gpt 5 mini | ₽20.75/M | ₽166/M | ₽1 245 |
| Nemotron 3 Ultra (batch) | NVIDIA | ₽24.90/M | ₽149/M | ₽1 245 |
| Seed 1.6 | bytedance seed | ₽20.75/M | ₽166/M | ₽1 245 |
| Seed-2.0-Lite | bytedance seed | ₽20.75/M | ₽166/M | ₽1 245 |
| Inkling Small | Thinking Machines | ₽37.35/M | ₽99.60/M | ₽1 245 |
| Skyfall 36B V2 | thedrummer | ₽45.65/M | ₽66.40/M | ₽1 245 |
| WizardLM-2 8x22B | microsoft | ₽51.46/M | ₽51.46/M | ₽1 286 |
| gpt 4.1 mini | openai | ₽33.20/M | ₽133/M | ₽1 328 |
| gemma 2 27b it | ₽53.95/M | ₽53.95/M | ₽1 349 | |
| qwen3.6 plus | qwen | ₽26.97/M | ₽162/M | ₽1 349 |
| glm 4.7 | z ai | ₽33.20/M | ₽145/M | ₽1 390 |
| Llama 3.3 Euryale 70B | sao10k | ₽53.95/M | ₽62.25/M | ₽1 390 |
| gpt 3.5 turbo | openai | ₽41.50/M | ₽124/M | ₽1 452 |
| Hermes 3 70B Instruct | nousresearch | ₽58.10/M | ₽58.10/M | ₽1 452 |
| Large 3 2512 | mistralai | ₽41.50/M | ₽124/M | ₽1 452 |
| qwen3.5 122b a10b | qwen | ₽24.07/M | ₽199/M | ₽1 477 |
| mistralai · mistral-medium-3 | mistralai | ₽33.20/M | ₽166/M | ₽1 494 |
| mistralai · mistral-medium-3.1 | mistralai | ₽33.20/M | ₽166/M | ₽1 494 |
| qwen3 235b a22b | qwen | ₽37.76/M | ₽151/M | ₽1 511 |
| qwen 2.5 coder 32b instruct | qwen | ₽54.78/M | ₽83.00/M | ₽1 511 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽24.90/M | ₽207/M | ₽1 535 |
| gemini 2.5 flash image | ₽24.90/M | ₽207/M | ₽1 535 | |
| gemini 3.5 flash lite | ₽24.90/M | ₽207/M | ₽1 535 | |
| Nova 2 Lite | amazon | ₽24.90/M | ₽207/M | ₽1 535 |
| GPT-5.4 Mini (batch) | OpenAI | ₽31.12/M | ₽187/M | ₽1 556 |
| Kimi K2.7 Code (batch) | MoonshotAI | ₽39.42/M | ₽166/M | ₽1 618 |
| deepseek r1 distill llama 70b | deepseek | ₽66.40/M | ₽66.40/M | ₽1 660 |
| glm 4.6 | z ai | ₽41.50/M | ₽166/M | ₽1 660 |
| Inkling (batch) | Thinking Machines | ₽41.50/M | ₽168/M | ₽1 670 |
| DeepSeek R1 | deepseek r1 | ₽41.50/M | ₽178/M | ₽1 722 |
| Aion-3.0-Mini | AionLabs | ₽58.10/M | ₽116/M | ₽1 743 |
| glm 4.5v | z ai | ₽49.80/M | ₽149/M | ₽1 743 |
| Virtuoso Large | arcee ai | ₽62.25/M | ₽99.60/M | ₽1 743 |
| Llama 3.1 Euryale 70B v2.2 | sao10k | ₽70.55/M | ₽70.55/M | ₽1 764 |
| morph · morph-v3-fast | morph | ₽66.40/M | ₽99.60/M | ₽1 826 |
| minimax m1 | minimax | ₽45.65/M | ₽183/M | ₽1 826 |
| o3 Mini (batch) | OpenAI | ₽45.65/M | ₽183/M | ₽1 826 |
| o3 Mini High (batch) | OpenAI | ₽45.65/M | ₽183/M | ₽1 826 |
| o4 Mini (batch) | OpenAI | ₽45.65/M | ₽183/M | ₽1 826 |
| o4 Mini High (batch) | OpenAI | ₽45.65/M | ₽183/M | ₽1 826 |
| Claude Haiku 4.5 (batch) | Anthropic | ₽41.50/M | ₽207/M | ₽1 867 |
| Seed 2.1 Turbo | ByteDance Seed | ₽41.50/M | ₽207/M | ₽1 867 |
| Kimi K2 | kimi k2 | ₽47.31/M | ₽191/M | ₽1 901 |
| glm 4.5 | z ai | ₽49.80/M | ₽183/M | ₽1 909 |
| Apply 3 | relace | ₽70.55/M | ₽104/M | ₽1 930 |
| Aion-2.0 | aion labs | ₽66.40/M | ₽133/M | ₽1 992 |
| Aion-RP 1.0 (8B) | aion labs | ₽66.40/M | ₽133/M | ₽1 992 |
| qwen3.5 397b a17b | qwen | ₽37.35/M | ₽249/M -17% вывод | ₽1 992 |
| gpt audio mini | openai | ₽49.80/M | ₽199/M | ₽1 992 |
| Gemini 3 Flash | gemini 3 flash | ₽41.50/M | ₽249/M | ₽2 075 |
| gemini 3.1 flash image | ₽41.50/M | ₽249/M | ₽2 075 | |
| GLM 5.2 (batch) | Z.ai | ₽58.10/M | ₽183/M | ₽2 075 |
| Hermes 3 405B Instruct | nousresearch | ₽83.00/M | ₽83.00/M | ₽2 075 |
| Seed-2.0-Code | ByteDance Seed | ₽41.50/M | ₽249/M | ₽2 075 |
| Sonar | perplexity | ₽83.00/M | ₽83.00/M | ₽2 075 |
| Kimi K2.5 | kimi k2.5 | ₽47.31/M | ₽237/M | ₽2 129 |
| glm 5.2 | z ai | ₽41.50/M -10% ввод | ₽261/M | ₽2 137 |
| morph · morph-v3-large | morph | ₽74.70/M | ₽158/M | ₽2 282 |
| qwen3 coder plus | qwen | ₽53.95/M | ₽270/M | ₽2 428 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽61.42/M | ₽246/M | ₽2 457 |
| Nemotron 3 Ultra | nvidia | ₽49.80/M | ₽299/M | ₽2 490 |
| qwen3.6 27b | qwen | ₽49.80/M | ₽299/M | ₽2 490 |
| grok build 0.1 | x ai | ₽83.00/M | ₽166/M | ₽2 490 |
| kimi k2.7 code | moonshotai | ₽55.61/M | ₽282/M | ₽2 523 |
| Cogito v2.1 671B | deepcogito | ₽104/M | ₽104/M | ₽2 594 |
| GLM-5 | glm 5 | ₽78.85/M | ₽212/M | ₽2 635 |
| Nova Pro | amazon | ₽66.40/M | ₽266/M | ₽2 656 |
| Gemini 3.6 Flash (batch) | ₽62.25/M | ₽311/M | ₽2 801 | |
| Hermes 4 405B | nousresearch | ₽83.00/M | ₽249/M | ₽2 905 |
| Search | relace | ₽83.00/M | ₽249/M | ₽2 905 |
| Qwen3 Max | qwen3 max | ₽64.74/M | ₽324/M | ₽2 913 |
| Gemini 2.5 Pro (batch) | ₽51.87/M | ₽415/M | ₽3 112 | |
| Gemini 3.5 Flash (batch) | ₽62.25/M | ₽373/M | ₽3 112 | |
| gpt 5.4 mini | openai | ₽62.25/M | ₽373/M | ₽3 112 |
| GPT-5 (batch) | OpenAI | ₽51.87/M | ₽415/M | ₽3 112 |
| GPT-5 Codex (batch) | OpenAI | ₽51.87/M | ₽415/M | ₽3 112 |
| GPT-5.1 (batch) | OpenAI | ₽51.87/M | ₽415/M | ₽3 112 |
| grok 4.20 | x ai | ₽104/M | ₽207/M | ₽3 112 |
| grok 4.20 multi agent | x ai | ₽104/M | ₽207/M | ₽3 112 |
| grok 4.3 | x ai | ₽104/M | ₽207/M | ₽3 112 |
| OpenAI GPT Mini Latest | ~openai | ₽62.25/M | ₽373/M | ₽3 112 |
| kimi k2.6 | moonshotai | ₽78.85/M | ₽332/M | ₽3 237 |
| Sakana Namazu | Sakana | ₽78.85/M | ₽332/M | ₽3 237 |
| Inkling | Thinking Machines | ₽78.85/M | ₽336/M | ₽3 258 |
| GPT-4.1 (batch) | OpenAI | ₽83.00/M | ₽332/M | ₽3 320 |
| o3 (batch) | OpenAI | ₽83.00/M | ₽332/M | ₽3 320 |
| Palmyra X5 | writer | ₽49.80/M | ₽498/M | ₽3 486 |
| glm 5 turbo | z ai | ₽99.60/M | ₽332/M | ₽3 652 |
| glm 5v turbo | z ai | ₽99.60/M | ₽332/M | ₽3 652 |
| O3 Mini | o3 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| o3 mini high | openai | ₽91.30/M | ₽365/M | ₽3 652 |
| O4 Mini | o4 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| o4 mini high | openai | ₽91.30/M | ₽365/M | ₽3 652 |
| Anthropic Claude Haiku Latest | ~anthropic | ₽83.00/M | ₽415/M | ₽3 735 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽83.00/M | ₽415/M | ₽3 735 |
| Claude Sonnet 5 (batch) | Anthropic | ₽83.00/M | ₽415/M | ₽3 735 |
| Muse Spark 1.1 | muse spark 1.1 | ₽104/M | ₽353/M | ₽3 839 |
| Muse Spark 1.2 | muse spark 1.2 | ₽104/M | ₽353/M | ₽3 839 |
| Gemini 3.1 Pro Preview (batch) | ₽83.00/M | ₽498/M | ₽4 150 | |
| glm 5.1 | z ai | ₽116/M | ₽365/M | ₽4 150 |
| gpt 5.6 terra | openai | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 terra pro | openai | ₽83.00/M | ₽498/M | ₽4 150 |
| GPT-4o (batch) | OpenAI | ₽104/M | ₽415/M | ₽4 150 |
| GPT-5.6 Terra (batch) | OpenAI | ₽83.00/M | ₽498/M | ₽4 150 |
| GPT-5.6 Terra Pro (batch) | OpenAI | ₽83.00/M | ₽498/M | ₽4 150 |
| Qwen3.6 Max | qwen3.6 max | ₽85.24/M | ₽511/M | ₽4 262 |
| qwen3.7 max | qwen | ₽122/M | ₽367/M | ₽4 285 |
| GPT-5.2 (batch) | OpenAI | ₽72.62/M | ₽581/M | ₽4 357 |
| gpt 5 image mini | openai | ₽207/M | ₽166/M | ₽4 980 |
| GPT-5.4 (batch) | OpenAI | ₽104/M | ₽622/M | ₽5 187 |
| Claude Sonnet 4.5 (batch) | Anthropic | ₽124/M | ₽622/M | ₽5 602 |
| Claude Sonnet 4.6 (batch) | Anthropic | ₽124/M | ₽622/M | ₽5 602 |
| gemini 3.6 flash | ₽124/M | ₽622/M | ₽5 602 | |
| Google Gemini Flash Latest | ₽124/M | ₽622/M | ₽5 602 | |
| mistralai · mistral-medium-3-5 | mistralai | ₽124/M | ₽622/M | ₽5 602 |
| grok 4.5 | x ai | ₽166/M | ₽498/M | ₽5 810 |
| grok 4.6 | grok 4.6 | ₽166/M | ₽498/M | ₽5 810 |
| Grok Latest | xAI | ₽166/M | ₽498/M | ₽5 810 |
| Mistral Large 2407 | Mistral large 2407 | ₽166/M | ₽498/M | ₽5 810 |
| mistralai · mistral-large | mistralai | ₽166/M | ₽498/M | ₽5 810 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽166/M | ₽498/M | ₽5 810 |
| Qwen 3.8 Max | alibaba | ₽166/M | ₽498/M | ₽5 810 |
| Qwen3.8 2.4T A95B | Qwen | ₽166/M | ₽498/M | ₽5 810 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽104/M | ₽830/M | ₽6 225 |
| gemini 3.5 flash | ₽124/M | ₽747/M | ₽6 225 | |
| gpt 5.1 | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex max | openai | ₽104/M | ₽830/M | ₽6 225 |
| GPT-5 | gpt 5 | ₽104/M | ₽830/M | ₽6 225 |
| gpt 3.5 turbo 16k | openai | ₽249/M | ₽332/M | ₽6 640 |
| gpt 4.1 | openai | ₽166/M | ₽664/M | ₽6 640 |
| Jamba Large 1.7 | ai21 | ₽166/M | ₽664/M | ₽6 640 |
| O3 | o3 | ₽166/M | ₽664/M | ₽6 640 |
| sonar deep research | perplexity | ₽166/M | ₽664/M | ₽6 640 |
| sonar reasoning pro | perplexity | ₽166/M | ₽664/M | ₽6 640 |
| Magnum v4 72B | anthracite org | ₽249/M | ₽415/M | ₽7 055 |
| Aion-3.0 | AionLabs | ₽249/M | ₽498/M | ₽7 470 |
| Anthropic Claude Sonnet Latest | ~anthropic | ₽166/M | ₽830/M | ₽7 470 |
| claude sonnet 5 | anthropic | ₽166/M | ₽830/M | ₽7 470 |
| Cohere Command A | cohere command a | ₽207/M | ₽830/M | ₽8 300 |
| Command R Plus | command r plus | ₽207/M | ₽830/M | ₽8 300 |
| gemini 3 pro image | ₽166/M | ₽996/M | ₽8 300 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽166/M | ₽996/M | ₽8 300 |
| gemini 3.1 pro preview customtools | ₽166/M | ₽996/M | ₽8 300 | |
| Google Gemini Pro Latest | ₽166/M | ₽996/M | ₽8 300 | |
| gpt audio | openai | ₽207/M | ₽830/M | ₽8 300 |
| GPT-4o | gpt 4o | ₽207/M | ₽830/M | ₽8 300 |
| gpt 5.2 | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.2 chat | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.2 codex | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.3 codex | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| Claude Opus 4.5 (batch) | Anthropic | ₽207/M | ₽1 037/M | ₽9 337 |
| Claude Opus 4.6 (batch) | Anthropic | ₽207/M | ₽1 037/M | ₽9 337 |
| Claude Opus 4.7 (batch) | Anthropic | ₽207/M | ₽1 037/M | ₽9 337 |
| Claude Opus 4.8 (batch) | Anthropic | ₽207/M | ₽1 037/M | ₽9 337 |
| Claude Opus 5 (batch) | anthropic | ₽207/M | ₽1 037/M | ₽9 337 |
| Nova Premier 1.0 | amazon | ₽207/M | ₽1 037/M | ₽9 337 |
| gpt 5.4 | openai | ₽207/M | ₽1 245/M | ₽10 375 |
| GPT-5.5 (batch) | OpenAI | ₽207/M | ₽1 245/M | ₽10 375 |
| GPT-5.6 Sol (batch) | OpenAI | ₽207/M | ₽1 245/M | ₽10 375 |
| GPT-5.6 Sol Pro (batch) | OpenAI | ₽207/M | ₽1 245/M | ₽10 375 |
| MoonshotAI Kimi Latest | ~moonshotai | ₽232/M | ₽1 162/M | ₽10 458 |
| Claude Sonnet 4 | claude sonnet 4 | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽249/M | ₽1 245/M | ₽11 205 |
| kimi k3 | moonshotai | ₽249/M | ₽1 245/M | ₽11 205 |
| sonar pro | perplexity | ₽249/M | ₽1 245/M | ₽11 205 |
| GPT-4 Turbo (batch) | OpenAI | ₽415/M | ₽1 245/M | ₽14 525 |
| Claude Fable 5 (batch) | Anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.5 | claude opus 4 5 | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.6 | claude opus 4 6 | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.7 | claude opus 4 7 | ₽415/M | ₽2 075/M | ₽18 674 |
| claude opus 4.8 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| claude opus 5 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus Latest | Anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| GPT-5.4 Image 2 | openai | ₽664/M | ₽1 245/M | ₽19 504 |
| Fugu Ultra | sakana | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5.5 | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5.6 sol | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5.6 sol pro | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| GPT Chat | gpt chat latest | ₽415/M | ₽2 490/M | ₽20 749 |
| OpenAI GPT Latest | ~openai | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5 image | openai | ₽830/M | ₽830/M | ₽20 749 |
| o1 (batch) | OpenAI | ₽622/M | ₽2 490/M | ₽24 899 |
| Claude Opus 4.1 (batch) | Anthropic | ₽622/M | ₽3 112/M | ₽28 012 |
| gpt 4 turbo | openai | ₽830/M | ₽2 490/M | ₽29 049 |
| o3 Pro (batch) | OpenAI | ₽830/M | ₽3 320/M | ₽33 199 |
| claude fable 5 | anthropic | ₽830/M | ₽4 150/M | ₽37 349 |
| Claude Fable Latest | Anthropic | ₽830/M | ₽4 150/M | ₽37 349 |
| GPT-5 Pro (batch) | OpenAI | ₽622/M | ₽4 980/M | ₽37 349 |
| O1 | o1 | ₽1 245/M | ₽4 980/M | ₽49 799 |
| GPT-5.2 Pro (batch) | OpenAI | ₽871/M | ₽6 972/M | ₽52 289 |
| Claude Opus 4 | claude opus 4 | ₽1 245/M | ₽6 225/M | ₽56 023 |
| GPT-5.4 Pro (batch) | OpenAI | ₽1 245/M | ₽7 470/M | ₽62 248 |
| GPT-5.5 Pro (batch) | OpenAI | ₽1 245/M | ₽7 470/M | ₽62 248 |
| o3 pro | openai | ₽1 660/M | ₽6 640/M | ₽66 398 |
| gpt 4 | openai | ₽2 490/M | ₽4 980/M | ₽74 698 |
| gpt 5 pro | openai | ₽1 245/M | ₽9 960/M | ₽74 698 |
| gpt 5.2 pro | openai | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.4 pro | openai | ₽2 490/M | ₽14 940/M | ₽124 497 |
| gpt 5.5 pro | openai | ₽2 490/M | ₽14 940/M | ₽124 497 |
| o1-pro (batch) | OpenAI | ₽6 225/M | ₽24 899/M | ₽248 993 |
| o1 pro | openai | ₽12 450/M | ₽49 799/M | ₽497 986 |
Без публичной цены
нет данных в открытых источниках · 14
▼
Без публичной цены
нет данных в открытых источниках · 14
| Модель | Maker | Примечание |
|---|---|---|
| Auto | auto | — |
| Body Builder (beta) | alltokens | — |
| Free Models Router | alltokens | — |
| Fusion | openrouter | — |
| LFM2.5-2.6B (Бесплатно) | LiquidAI | — |
| Ling-3.0-tiny | inclusionAI | — |
| Lyria 3 Clip Preview | — | |
| Lyria 3 Pro Preview | — | |
| nemotron 3 nano omni 30b a3b reasoning | nvidia | — |
| nemotron 3.5 content safety | nvidia | — |
| nemotron nano 12b v2 vl | nvidia | — |
| Nemotron Nano 9B V2 | NVIDIA | — |
| North Mini Code (free) | north mini code free | — |
| Pareto Code Router | alltokens | — |
Текст и чат
оплата за токены · 351
▼
Текст и чат
оплата за токены · 351
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Ling-2.6-flash | inclusionai | ₽0.83/M | ₽2.49/M | ₽29 |
| mistralai · mistral-nemo | mistralai | ₽1.58/M | ₽2.49/M | ₽44 |
| Ling-3.0-flash | inclusionai | ₽1.74/M | ₽5.23/M | ₽61 |
| granite-4.0-h-micro | ibm granite | ₽1.41/M | ₽9.30/M | ₽75 |
| Nex-N2-Mini | nex agi | ₽2.07/M | ₽8.30/M | ₽83 |
| Llama 3 8B Lunaris | sao10k | ₽3.32/M | ₽4.15/M | ₽87 |
| Solar Pro 4 | upstage | ₽2.49/M | ₽9.96/M | ₽100 |
| gpt oss 20b | openai | ₽2.49/M | ₽10.79/M | ₽104 |
| Qwen3.7 Flash | qwen3.7 flash | ₽2.49/M | ₽10.79/M | ₽104 |
| Amazon Nova Micro | nova micro | ₽2.90/M | ₽11.62/M | ₽116 |
| Llama 3.1 8B | llama 3.1 8b | ₽4.15/M | ₽6.64/M | ₽116 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽4.15/M | ₽6.64/M | ₽116 |
| gpt oss 120b | openai | ₽2.49/M | ₽14.11/M | ₽120 |
| Gemma 3 4B It | gemma 3 4b it | ₽4.15/M | ₽8.30/M | ₽124 |
| GPT-5 Nano (batch) | OpenAI | ₽2.07/M | ₽16.60/M | ₽124 |
| Granite 4.1 8B | ibm granite | ₽4.15/M | ₽8.30/M | ₽124 |
| Command R7B (12-2024) | cohere | ₽3.11/M | ₽12.45/M | ₽124 |
| Mythomax L2 13B | Gryphe | ₽4.98/M | ₽4.98/M | ₽124 |
| llama 3.2 1b:free | meta llama | ₽2.24/M | ₽16.68/M | ₽128 |
| gemma 3 12b it | ₽4.15/M | ₽12.45/M | ₽145 | |
| gemma 3n e4b it | ₽4.98/M | ₽9.96/M | ₽149 | |
| Laguna XS 2.1 | poolside | ₽4.98/M | ₽9.96/M | ₽149 |
| qwen3 30b a3b instruct 2507 | qwen | ₽4.00/M | ₽16.02/M | ₽160 |
| Gemini 2.5 Flash Lite (batch) | ₽4.15/M | ₽16.60/M | ₽166 | |
| GPT-4.1 Nano (batch) | OpenAI | ₽4.15/M | ₽16.60/M | ₽166 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽4.15/M | ₽16.60/M | ₽166 |
| Phi 4 | Microsoft | ₽5.81/M | ₽11.62/M | ₽174 |
| Hy3 | hy3 | ₽5.23/M | ₽17.43/M | ₽192 |
| Nova Lite | amazon | ₽4.98/M | ₽19.92/M | ₽199 |
| mistralai · ministral-3b-2512 | mistralai | ₽8.30/M | ₽8.30/M | ₽207 |
| Reka Edge | rekaai | ₽8.30/M | ₽8.30/M | ₽207 |
| deepseek v4 flash | deepseek | ₽6.64/M | ₽14.94/M | ₽207 |
| Qwen3.5 Flash | alibaba | ₽5.39/M | ₽21.58/M | ₽216 |
| Llama 3.2 3B | llama 3.2 3b | ₽4.15/M | ₽27.39/M | ₽220 |
| Laguna S 2.1 | Poolside | ₽7.47/M | ₽14.94/M | ₽224 |
| qwen3.5 9b | qwen | ₽8.30/M | ₽12.45/M | ₽228 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽5.81/M | ₽23.24/M | ₽232 |
| deepseek v4 flash · latest | yandex | ₽6.64/M | ₽20.92/M | ₽237 |
| GPT-5 Nano | gpt 5 nano | ₽4.15/M | ₽33.20/M | ₽249 |
| qwen 2.5 7b instruct | qwen | ₽8.30/M | ₽16.60/M | ₽249 |
| Reka Flash 3 | rekaai | ₽8.30/M | ₽16.60/M | ₽249 |
| UI-TARS 7B | ByteDance | ₽8.30/M | ₽16.60/M | ₽249 |
| gpt oss safeguard 20b | openai | ₽6.22/M | ₽24.90/M | ₽249 |
| GPT-4o-mini (batch) | OpenAI | ₽6.22/M | ₽24.90/M | ₽249 |
| qwen3 32b | qwen | ₽6.64/M | ₽23.24/M | ₽249 |
| Seed 1.6 Flash | bytedance seed | ₽6.22/M | ₽24.90/M | ₽249 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽7.78/M | ₽20.75/M | ₽259 |
| glm 4.7 flash | z ai | ₽4.98/M | ₽33.20/M | ₽266 |
| Nemotron 3.5 Lightning | NVIDIA | ₽8.30/M | ₽20.75/M | ₽270 |
| Llama 4 Scout | llama 4 scout | ₽8.30/M | ₽24.90/M | ₽290 |
| Step 3.5 Flash | step 3.5 flash | ₽8.30/M | ₽24.90/M | ₽290 |
| Voxtral Small 24B 2507 | mistralai | ₽8.30/M | ₽24.90/M | ₽290 |
| Llama 3.3 70B | llama 3.3 70b | ₽8.30/M | ₽26.56/M | ₽299 |
| qwen3 14b | qwen | ₽9.96/M | ₽19.92/M | ₽299 |
| gemma 4 31b it | ₽8.30/M | ₽28.22/M | ₽307 | |
| Nemotron 3 Super 120B-A12B | nvidia | ₽7.05/M | ₽33.20/M | ₽307 |
| mistralai · ministral-8b-2512 | mistralai | ₽12.45/M | ₽12.45/M | ₽311 |
| gemma 3 27b it | ₽6.64/M | ₽37.35/M | ₽320 | |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.30/M | ₽33.20/M | ₽332 |
| gpt 4.1 nano | openai | ₽8.30/M | ₽33.20/M | ₽332 |
| Seed-2.0-Mini | bytedance seed | ₽8.30/M | ₽33.20/M | ₽332 |
| qwen3 vl 32b instruct | qwen | ₽8.63/M | ₽34.53/M | ₽345 |
| mimo v2.5 | mimo v2.5 | ₽11.62/M | ₽23.24/M | ₽349 |
| gemma 4 26b a4b it | ₽9.96/M | ₽33.20/M | ₽365 | |
| llama guard 4 12b | meta llama | ₽14.94/M | ₽14.94/M | ₽373 |
| qwen3 235b a22b 2507 | qwen | ₽7.47/M | ₽45.65/M | ₽378 |
| Hermes 4 70B | nousresearch | ₽10.79/M | ₽33.20/M | ₽382 |
| qwen3 8b | qwen | ₽9.71/M | ₽37.76/M | ₽383 |
| qwen3 vl 8b instruct | qwen | ₽9.71/M | ₽37.76/M | ₽383 |
| Ling-2.6-1T | inclusionai | ₽6.22/M | ₽51.87/M | ₽384 |
| Ring-2.6-1T | inclusionai | ₽6.22/M | ₽51.87/M | ₽384 |
| qwen3 30b a3b | qwen | ₽9.96/M | ₽41.50/M | ₽407 |
| gpt 5.6 luna | openai | ₽8.30/M | ₽49.80/M | ₽415 |
| gpt 5.6 luna pro | openai | ₽8.30/M | ₽49.80/M | ₽415 |
| GPT-5.6 Luna (batch) | OpenAI | ₽8.30/M | ₽49.80/M | ₽415 |
| GPT-5.6 Luna Pro (batch) | OpenAI | ₽8.30/M | ₽49.80/M | ₽415 |
| mistralai · ministral-14b-2512 | mistralai | ₽16.60/M | ₽16.60/M | ₽415 |
| GPT-5.4 Nano (batch) | OpenAI | ₽8.30/M | ₽51.87/M | ₽425 |
| Olmo 3 32B Think | allenai | ₽12.45/M | ₽41.50/M | ₽456 |
| hunyuan a13b | hunyuan a13b | ₽11.62/M | ₽47.31/M | ₽469 |
| Command R | command r | ₽12.45/M | ₽49.80/M | ₽498 |
| GPT-4o Mini | gpt 4o mini | ₽12.45/M | ₽49.80/M | ₽498 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽12.45/M | ₽49.80/M | ₽498 |
| MiniMax M3 (batch) | MiniMax | ₽12.45/M | ₽49.80/M | ₽498 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽12.45/M | ₽49.80/M | ₽498 |
| Small 4 | mistralai | ₽12.45/M | ₽49.80/M | ₽498 |
| Solar Pro 3 | upstage | ₽12.45/M | ₽49.80/M | ₽498 |
| Gemini 3.1 Flash Lite (batch) | ₽10.37/M | ₽62.25/M | ₽519 | |
| qwen3 coder next | qwen | ₽9.96/M | ₽66.40/M | ₽531 |
| glm 4.5 air | z ai | ₽10.79/M | ₽70.55/M | ₽569 |
| mistralai · mistral-saba | mistralai | ₽16.60/M | ₽49.80/M | ₽581 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽7.47/M | ₽91.30/M | ₽606 |
| deepseek v3.2 | deepseek | ₽22.33/M | ₽33.20/M | ₽613 |
| Llama 4 Maverick | llama 4 maverick | ₽16.60/M | ₽57.77/M | ₽621 |
| GPT-5 Mini (batch) | OpenAI | ₽10.37/M | ₽83.00/M | ₽622 |
| Rocinante 12B | thedrummer | ₽20.75/M | ₽41.50/M | ₽622 |
| GPT-4.1 Mini (batch) | OpenAI | ₽16.60/M | ₽66.40/M | ₽664 |
| qwen3.6 35b a3b | qwen | ₽12.45/M | ₽83.00/M | ₽664 |
| Uncensored | Venice | ₽16.60/M | ₽74.70/M | ₽705 |
| Cydonia 24B V4.1 | thedrummer | ₽24.90/M | ₽41.50/M | ₽705 |
| Trinity Large Preview | Arcee AI | ₽18.26/M | ₽70.55/M | ₽718 |
| GPT-3.5 Turbo (batch) | OpenAI | ₽20.75/M | ₽62.25/M | ₽726 |
| Mercury 2 | inception | ₽20.75/M | ₽62.25/M | ₽726 |
| qwen2.5 vl 72b instruct | qwen | ₽20.75/M | ₽62.25/M | ₽726 |
| qwen3 coder flash | qwen | ₽16.18/M | ₽80.92/M | ₽728 |
| minimax m2.5 | minimax | ₽18.26/M | ₽74.70/M | ₽739 |
| Qwen Plus | qwen plus | ₽21.58/M | ₽64.74/M | ₽755 |
| qwen 2.5 72b instruct | qwen | ₽29.88/M | ₽33.20/M | ₽764 |
| Gemini 2.5 Flash (batch) | ₽12.45/M | ₽104/M | ₽768 | |
| Gemini 3.5 Flash Lite (batch) | ₽12.45/M | ₽104/M | ₽768 | |
| qwen3.6 flash | qwen | ₽15.56/M | ₽93.37/M | ₽778 |
| minimax 01 | minimax | ₽16.60/M | ₽91.30/M | ₽788 |
| Step 3.7 Flash | step 3.7 flash | ₽16.60/M | ₽95.45/M | ₽809 |
| deepseek chat v3.1 | deepseek | ₽20.75/M | ₽78.85/M | ₽809 |
| mistralai · mistral-small-3.1-24b-instruct | mistralai | ₽29.13/M | ₽46.06/M | ₽813 |
| llama 3.1 70b | llama 3.1 70b | ₽33.20/M | ₽33.20/M | ₽830 |
| UnslopNemo 12B | thedrummer | ₽33.20/M | ₽33.20/M | ₽830 |
| Nex-N2-Pro | nex agi | ₽20.75/M | ₽83.00/M | ₽830 |
| deepseek v3.1 terminus | deepseek | ₽22.41/M | ₽78.85/M | ₽842 |
| minimax m2 | minimax | ₽21.16/M | ₽84.66/M | ₽847 |
| gpt 5.4 nano | openai | ₽16.60/M | ₽104/M | ₽851 |
| DeepSeek Chat (V3) | deepseek chat | ₽21.36/M | ₽85.38/M | ₽854 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽21.58/M | ₽86.32/M | ₽863 |
| Mk1 | perceptron | ₽12.45/M | ₽124/M | ₽871 |
| glm 4.6v | z ai | ₽24.90/M | ₽74.70/M | ₽871 |
| mistralai · codestral-2508 | mistralai | ₽24.90/M | ₽74.70/M | ₽871 |
| qwen3 coder | qwen | ₽24.90/M | ₽83.00/M | ₽913 |
| Claude 3 Haiku | Anthropic | ₽20.75/M | ₽104/M | ₽934 |
| qwen3.5 35b a3b | qwen | ₽20.75/M | ₽104/M | ₽934 |
| qwen3.5 27b | qwen | ₽16.18/M | ₽129/M | ₽971 |
| KAT-Coder-Pro V1 | kwaipilot | ₽24.90/M | ₽99.60/M | ₽996 |
| LongCat 2.0 | meituan | ₽24.90/M | ₽99.60/M | ₽996 |
| minimax m2 her | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| minimax m2.1 | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| minimax m2.7 | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| minimax m3 | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| ReMM-SLERP-L2-13B | undi95 | ₽37.35/M | ₽53.95/M | ₽1 017 |
| Gemini 3 Flash Preview (batch) | ₽20.75/M | ₽124/M | ₽1 037 | |
| gemini 3.1 flash lite | ₽20.75/M | ₽124/M | ₽1 037 | |
| gemini 3.1 flash lite image | ₽20.75/M | ₽124/M | ₽1 037 | |
| qwen3.7 plus | qwen | ₽26.56/M | ₽106/M | ₽1 062 |
| qwen3.5 plus | qwen3.5 plus | ₽21.58/M | ₽129/M | ₽1 079 |
| deepseek v4 pro | deepseek | ₽36.10/M | ₽72.21/M | ₽1 083 |
| mimo v2.5 pro | mimo v2.5 pro | ₽36.10/M | ₽72.21/M | ₽1 083 |
| Weaver (alpha) | mancer | ₽41.50/M | ₽62.25/M | ₽1 141 |
| Muse Glimmer 30B | Meta | ₽29.05/M | ₽124/M | ₽1 203 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽34.86/M | ₽104/M | ₽1 216 |
| gpt 5.1 codex mini | openai | ₽20.75/M | ₽166/M | ₽1 245 |
| GPT-5 Mini | gpt 5 mini | ₽20.75/M | ₽166/M | ₽1 245 |
| Nemotron 3 Ultra (batch) | NVIDIA | ₽24.90/M | ₽149/M | ₽1 245 |
| Seed 1.6 | bytedance seed | ₽20.75/M | ₽166/M | ₽1 245 |
| Seed-2.0-Lite | bytedance seed | ₽20.75/M | ₽166/M | ₽1 245 |
| Inkling Small | Thinking Machines | ₽37.35/M | ₽99.60/M | ₽1 245 |
| Skyfall 36B V2 | thedrummer | ₽45.65/M | ₽66.40/M | ₽1 245 |
| WizardLM-2 8x22B | microsoft | ₽51.46/M | ₽51.46/M | ₽1 286 |
| gpt 4.1 mini | openai | ₽33.20/M | ₽133/M | ₽1 328 |
| gemma 2 27b it | ₽53.95/M | ₽53.95/M | ₽1 349 | |
| qwen3.6 plus | qwen | ₽26.97/M | ₽162/M | ₽1 349 |
| glm 4.7 | z ai | ₽33.20/M | ₽145/M | ₽1 390 |
| Llama 3.3 Euryale 70B | sao10k | ₽53.95/M | ₽62.25/M | ₽1 390 |
| gpt 3.5 turbo | openai | ₽41.50/M | ₽124/M | ₽1 452 |
| Hermes 3 70B Instruct | nousresearch | ₽58.10/M | ₽58.10/M | ₽1 452 |
| Large 3 2512 | mistralai | ₽41.50/M | ₽124/M | ₽1 452 |
| qwen3.5 122b a10b | qwen | ₽24.07/M | ₽199/M | ₽1 477 |
| mistralai · mistral-medium-3 | mistralai | ₽33.20/M | ₽166/M | ₽1 494 |
| mistralai · mistral-medium-3.1 | mistralai | ₽33.20/M | ₽166/M | ₽1 494 |
| qwen3 235b a22b | qwen | ₽37.76/M | ₽151/M | ₽1 511 |
| qwen 2.5 coder 32b instruct | qwen | ₽54.78/M | ₽83.00/M | ₽1 511 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽24.90/M | ₽207/M | ₽1 535 |
| gemini 2.5 flash image | ₽24.90/M | ₽207/M | ₽1 535 | |
| gemini 3.5 flash lite | ₽24.90/M | ₽207/M | ₽1 535 | |
| Nova 2 Lite | amazon | ₽24.90/M | ₽207/M | ₽1 535 |
| GPT-5.4 Mini (batch) | OpenAI | ₽31.12/M | ₽187/M | ₽1 556 |
| Kimi K2.7 Code (batch) | MoonshotAI | ₽39.42/M | ₽166/M | ₽1 618 |
| deepseek r1 distill llama 70b | deepseek | ₽66.40/M | ₽66.40/M | ₽1 660 |
| glm 4.6 | z ai | ₽41.50/M | ₽166/M | ₽1 660 |
| Inkling (batch) | Thinking Machines | ₽41.50/M | ₽168/M | ₽1 670 |
| DeepSeek R1 | deepseek r1 | ₽41.50/M | ₽178/M | ₽1 722 |
| Aion-3.0-Mini | AionLabs | ₽58.10/M | ₽116/M | ₽1 743 |
| glm 4.5v | z ai | ₽49.80/M | ₽149/M | ₽1 743 |
| Virtuoso Large | arcee ai | ₽62.25/M | ₽99.60/M | ₽1 743 |
| Llama 3.1 Euryale 70B v2.2 | sao10k | ₽70.55/M | ₽70.55/M | ₽1 764 |
| morph · morph-v3-fast | morph | ₽66.40/M | ₽99.60/M | ₽1 826 |
| minimax m1 | minimax | ₽45.65/M | ₽183/M | ₽1 826 |
| o3 Mini (batch) | OpenAI | ₽45.65/M | ₽183/M | ₽1 826 |
| o3 Mini High (batch) | OpenAI | ₽45.65/M | ₽183/M | ₽1 826 |
| o4 Mini (batch) | OpenAI | ₽45.65/M | ₽183/M | ₽1 826 |
| o4 Mini High (batch) | OpenAI | ₽45.65/M | ₽183/M | ₽1 826 |
| Claude Haiku 4.5 (batch) | Anthropic | ₽41.50/M | ₽207/M | ₽1 867 |
| Seed 2.1 Turbo | ByteDance Seed | ₽41.50/M | ₽207/M | ₽1 867 |
| Kimi K2 | kimi k2 | ₽47.31/M | ₽191/M | ₽1 901 |
| glm 4.5 | z ai | ₽49.80/M | ₽183/M | ₽1 909 |
| Apply 3 | relace | ₽70.55/M | ₽104/M | ₽1 930 |
| Aion-2.0 | aion labs | ₽66.40/M | ₽133/M | ₽1 992 |
| Aion-RP 1.0 (8B) | aion labs | ₽66.40/M | ₽133/M | ₽1 992 |
| qwen3.5 397b a17b | qwen | ₽37.35/M | ₽249/M -17% вывод | ₽1 992 |
| gpt audio mini | openai | ₽49.80/M | ₽199/M | ₽1 992 |
| Gemini 3 Flash | gemini 3 flash | ₽41.50/M | ₽249/M | ₽2 075 |
| gemini 3.1 flash image | ₽41.50/M | ₽249/M | ₽2 075 | |
| GLM 5.2 (batch) | Z.ai | ₽58.10/M | ₽183/M | ₽2 075 |
| Hermes 3 405B Instruct | nousresearch | ₽83.00/M | ₽83.00/M | ₽2 075 |
| Seed-2.0-Code | ByteDance Seed | ₽41.50/M | ₽249/M | ₽2 075 |
| Sonar | perplexity | ₽83.00/M | ₽83.00/M | ₽2 075 |
| Kimi K2.5 | kimi k2.5 | ₽47.31/M | ₽237/M | ₽2 129 |
| glm 5.2 | z ai | ₽41.50/M -10% ввод | ₽261/M | ₽2 137 |
| morph · morph-v3-large | morph | ₽74.70/M | ₽158/M | ₽2 282 |
| qwen3 coder plus | qwen | ₽53.95/M | ₽270/M | ₽2 428 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽61.42/M | ₽246/M | ₽2 457 |
| Nemotron 3 Ultra | nvidia | ₽49.80/M | ₽299/M | ₽2 490 |
| qwen3.6 27b | qwen | ₽49.80/M | ₽299/M | ₽2 490 |
| grok build 0.1 | x ai | ₽83.00/M | ₽166/M | ₽2 490 |
| kimi k2.7 code | moonshotai | ₽55.61/M | ₽282/M | ₽2 523 |
| Cogito v2.1 671B | deepcogito | ₽104/M | ₽104/M | ₽2 594 |
| GLM-5 | glm 5 | ₽78.85/M | ₽212/M | ₽2 635 |
| Nova Pro | amazon | ₽66.40/M | ₽266/M | ₽2 656 |
| Gemini 3.6 Flash (batch) | ₽62.25/M | ₽311/M | ₽2 801 | |
| Hermes 4 405B | nousresearch | ₽83.00/M | ₽249/M | ₽2 905 |
| Search | relace | ₽83.00/M | ₽249/M | ₽2 905 |
| Qwen3 Max | qwen3 max | ₽64.74/M | ₽324/M | ₽2 913 |
| Gemini 2.5 Pro (batch) | ₽51.87/M | ₽415/M | ₽3 112 | |
| Gemini 3.5 Flash (batch) | ₽62.25/M | ₽373/M | ₽3 112 | |
| gpt 5.4 mini | openai | ₽62.25/M | ₽373/M | ₽3 112 |
| GPT-5 (batch) | OpenAI | ₽51.87/M | ₽415/M | ₽3 112 |
| GPT-5 Codex (batch) | OpenAI | ₽51.87/M | ₽415/M | ₽3 112 |
| GPT-5.1 (batch) | OpenAI | ₽51.87/M | ₽415/M | ₽3 112 |
| grok 4.20 | x ai | ₽104/M | ₽207/M | ₽3 112 |
| grok 4.20 multi agent | x ai | ₽104/M | ₽207/M | ₽3 112 |
| grok 4.3 | x ai | ₽104/M | ₽207/M | ₽3 112 |
| OpenAI GPT Mini Latest | ~openai | ₽62.25/M | ₽373/M | ₽3 112 |
| kimi k2.6 | moonshotai | ₽78.85/M | ₽332/M | ₽3 237 |
| Sakana Namazu | Sakana | ₽78.85/M | ₽332/M | ₽3 237 |
| Inkling | Thinking Machines | ₽78.85/M | ₽336/M | ₽3 258 |
| GPT-4.1 (batch) | OpenAI | ₽83.00/M | ₽332/M | ₽3 320 |
| o3 (batch) | OpenAI | ₽83.00/M | ₽332/M | ₽3 320 |
| Palmyra X5 | writer | ₽49.80/M | ₽498/M | ₽3 486 |
| glm 5 turbo | z ai | ₽99.60/M | ₽332/M | ₽3 652 |
| glm 5v turbo | z ai | ₽99.60/M | ₽332/M | ₽3 652 |
| O3 Mini | o3 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| o3 mini high | openai | ₽91.30/M | ₽365/M | ₽3 652 |
| O4 Mini | o4 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| o4 mini high | openai | ₽91.30/M | ₽365/M | ₽3 652 |
| Anthropic Claude Haiku Latest | ~anthropic | ₽83.00/M | ₽415/M | ₽3 735 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽83.00/M | ₽415/M | ₽3 735 |
| Claude Sonnet 5 (batch) | Anthropic | ₽83.00/M | ₽415/M | ₽3 735 |
| Muse Spark 1.1 | muse spark 1.1 | ₽104/M | ₽353/M | ₽3 839 |
| Muse Spark 1.2 | muse spark 1.2 | ₽104/M | ₽353/M | ₽3 839 |
| Gemini 3.1 Pro Preview (batch) | ₽83.00/M | ₽498/M | ₽4 150 | |
| glm 5.1 | z ai | ₽116/M | ₽365/M | ₽4 150 |
| gpt 5.6 terra | openai | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 terra pro | openai | ₽83.00/M | ₽498/M | ₽4 150 |
| GPT-4o (batch) | OpenAI | ₽104/M | ₽415/M | ₽4 150 |
| GPT-5.6 Terra (batch) | OpenAI | ₽83.00/M | ₽498/M | ₽4 150 |
| GPT-5.6 Terra Pro (batch) | OpenAI | ₽83.00/M | ₽498/M | ₽4 150 |
| Qwen3.6 Max | qwen3.6 max | ₽85.24/M | ₽511/M | ₽4 262 |
| qwen3.7 max | qwen | ₽122/M | ₽367/M | ₽4 285 |
| GPT-5.2 (batch) | OpenAI | ₽72.62/M | ₽581/M | ₽4 357 |
| gpt 5 image mini | openai | ₽207/M | ₽166/M | ₽4 980 |
| GPT-5.4 (batch) | OpenAI | ₽104/M | ₽622/M | ₽5 187 |
| Claude Sonnet 4.5 (batch) | Anthropic | ₽124/M | ₽622/M | ₽5 602 |
| Claude Sonnet 4.6 (batch) | Anthropic | ₽124/M | ₽622/M | ₽5 602 |
| gemini 3.6 flash | ₽124/M | ₽622/M | ₽5 602 | |
| Google Gemini Flash Latest | ₽124/M | ₽622/M | ₽5 602 | |
| mistralai · mistral-medium-3-5 | mistralai | ₽124/M | ₽622/M | ₽5 602 |
| grok 4.5 | x ai | ₽166/M | ₽498/M | ₽5 810 |
| grok 4.6 | grok 4.6 | ₽166/M | ₽498/M | ₽5 810 |
| Grok Latest | xAI | ₽166/M | ₽498/M | ₽5 810 |
| Mistral Large 2407 | Mistral large 2407 | ₽166/M | ₽498/M | ₽5 810 |
| mistralai · mistral-large | mistralai | ₽166/M | ₽498/M | ₽5 810 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽166/M | ₽498/M | ₽5 810 |
| Qwen 3.8 Max | alibaba | ₽166/M | ₽498/M | ₽5 810 |
| Qwen3.8 2.4T A95B | Qwen | ₽166/M | ₽498/M | ₽5 810 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽104/M | ₽830/M | ₽6 225 |
| gemini 3.5 flash | ₽124/M | ₽747/M | ₽6 225 | |
| gpt 5.1 | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex max | openai | ₽104/M | ₽830/M | ₽6 225 |
| GPT-5 | gpt 5 | ₽104/M | ₽830/M | ₽6 225 |
| gpt 3.5 turbo 16k | openai | ₽249/M | ₽332/M | ₽6 640 |
| gpt 4.1 | openai | ₽166/M | ₽664/M | ₽6 640 |
| Jamba Large 1.7 | ai21 | ₽166/M | ₽664/M | ₽6 640 |
| O3 | o3 | ₽166/M | ₽664/M | ₽6 640 |
| sonar deep research | perplexity | ₽166/M | ₽664/M | ₽6 640 |
| sonar reasoning pro | perplexity | ₽166/M | ₽664/M | ₽6 640 |
| Magnum v4 72B | anthracite org | ₽249/M | ₽415/M | ₽7 055 |
| Aion-3.0 | AionLabs | ₽249/M | ₽498/M | ₽7 470 |
| Anthropic Claude Sonnet Latest | ~anthropic | ₽166/M | ₽830/M | ₽7 470 |
| claude sonnet 5 | anthropic | ₽166/M | ₽830/M | ₽7 470 |
| Cohere Command A | cohere command a | ₽207/M | ₽830/M | ₽8 300 |
| Command R Plus | command r plus | ₽207/M | ₽830/M | ₽8 300 |
| gemini 3 pro image | ₽166/M | ₽996/M | ₽8 300 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽166/M | ₽996/M | ₽8 300 |
| gemini 3.1 pro preview customtools | ₽166/M | ₽996/M | ₽8 300 | |
| Google Gemini Pro Latest | ₽166/M | ₽996/M | ₽8 300 | |
| gpt audio | openai | ₽207/M | ₽830/M | ₽8 300 |
| GPT-4o | gpt 4o | ₽207/M | ₽830/M | ₽8 300 |
| gpt 5.2 | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.2 chat | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.2 codex | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.3 codex | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| Claude Opus 4.5 (batch) | Anthropic | ₽207/M | ₽1 037/M | ₽9 337 |
| Claude Opus 4.6 (batch) | Anthropic | ₽207/M | ₽1 037/M | ₽9 337 |
| Claude Opus 4.7 (batch) | Anthropic | ₽207/M | ₽1 037/M | ₽9 337 |
| Claude Opus 4.8 (batch) | Anthropic | ₽207/M | ₽1 037/M | ₽9 337 |
| Claude Opus 5 (batch) | anthropic | ₽207/M | ₽1 037/M | ₽9 337 |
| Nova Premier 1.0 | amazon | ₽207/M | ₽1 037/M | ₽9 337 |
| gpt 5.4 | openai | ₽207/M | ₽1 245/M | ₽10 375 |
| GPT-5.5 (batch) | OpenAI | ₽207/M | ₽1 245/M | ₽10 375 |
| GPT-5.6 Sol (batch) | OpenAI | ₽207/M | ₽1 245/M | ₽10 375 |
| GPT-5.6 Sol Pro (batch) | OpenAI | ₽207/M | ₽1 245/M | ₽10 375 |
| MoonshotAI Kimi Latest | ~moonshotai | ₽232/M | ₽1 162/M | ₽10 458 |
| Claude Sonnet 4 | claude sonnet 4 | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽249/M | ₽1 245/M | ₽11 205 |
| kimi k3 | moonshotai | ₽249/M | ₽1 245/M | ₽11 205 |
| sonar pro | perplexity | ₽249/M | ₽1 245/M | ₽11 205 |
| GPT-4 Turbo (batch) | OpenAI | ₽415/M | ₽1 245/M | ₽14 525 |
| Claude Fable 5 (batch) | Anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.5 | claude opus 4 5 | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.6 | claude opus 4 6 | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.7 | claude opus 4 7 | ₽415/M | ₽2 075/M | ₽18 674 |
| claude opus 4.8 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| claude opus 5 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus Latest | Anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| GPT-5.4 Image 2 | openai | ₽664/M | ₽1 245/M | ₽19 504 |
| Fugu Ultra | sakana | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5.5 | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5.6 sol | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5.6 sol pro | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| GPT Chat | gpt chat latest | ₽415/M | ₽2 490/M | ₽20 749 |
| OpenAI GPT Latest | ~openai | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5 image | openai | ₽830/M | ₽830/M | ₽20 749 |
| o1 (batch) | OpenAI | ₽622/M | ₽2 490/M | ₽24 899 |
| Claude Opus 4.1 (batch) | Anthropic | ₽622/M | ₽3 112/M | ₽28 012 |
| gpt 4 turbo | openai | ₽830/M | ₽2 490/M | ₽29 049 |
| o3 Pro (batch) | OpenAI | ₽830/M | ₽3 320/M | ₽33 199 |
| claude fable 5 | anthropic | ₽830/M | ₽4 150/M | ₽37 349 |
| Claude Fable Latest | Anthropic | ₽830/M | ₽4 150/M | ₽37 349 |
| GPT-5 Pro (batch) | OpenAI | ₽622/M | ₽4 980/M | ₽37 349 |
| O1 | o1 | ₽1 245/M | ₽4 980/M | ₽49 799 |
| GPT-5.2 Pro (batch) | OpenAI | ₽871/M | ₽6 972/M | ₽52 289 |
| Claude Opus 4 | claude opus 4 | ₽1 245/M | ₽6 225/M | ₽56 023 |
| GPT-5.4 Pro (batch) | OpenAI | ₽1 245/M | ₽7 470/M | ₽62 248 |
| GPT-5.5 Pro (batch) | OpenAI | ₽1 245/M | ₽7 470/M | ₽62 248 |
| o3 pro | openai | ₽1 660/M | ₽6 640/M | ₽66 398 |
| gpt 4 | openai | ₽2 490/M | ₽4 980/M | ₽74 698 |
| gpt 5 pro | openai | ₽1 245/M | ₽9 960/M | ₽74 698 |
| gpt 5.2 pro | openai | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.4 pro | openai | ₽2 490/M | ₽14 940/M | ₽124 497 |
| gpt 5.5 pro | openai | ₽2 490/M | ₽14 940/M | ₽124 497 |
| o1-pro (batch) | OpenAI | ₽6 225/M | ₽24 899/M | ₽248 993 |
| o1 pro | openai | ₽12 450/M | ₽49 799/M | ₽497 986 |
Без публичной цены
нет данных в открытых источниках · 14
▼
Без публичной цены
нет данных в открытых источниках · 14
| Модель | Maker | Примечание |
|---|---|---|
| Auto | auto | — |
| Body Builder (beta) | alltokens | — |
| Free Models Router | alltokens | — |
| Fusion | openrouter | — |
| LFM2.5-2.6B (Бесплатно) | LiquidAI | — |
| Ling-3.0-tiny | inclusionAI | — |
| Lyria 3 Clip Preview | — | |
| Lyria 3 Pro Preview | — | |
| nemotron 3 nano omni 30b a3b reasoning | nvidia | — |
| nemotron 3.5 content safety | nvidia | — |
| nemotron nano 12b v2 vl | nvidia | — |
| Nemotron Nano 9B V2 | NVIDIA | — |
| North Mini Code (free) | north mini code free | — |
| Pareto Code Router | alltokens | — |
О провайдере
О сервисе
OpenRouter — de facto стандарт для prod и экспериментов: один ключ, A/B тесты моделей, routing между DeepSeek, Anthropic, Google и др. Используется Replit, Kilo Code и сотнями тысяч приложений. Для российских проектов сравнивайте $/1M с Zveno/Polza в пересчёте на ₽.
Как сравнивать на AI-APISHKA
Прямой $/1M из каталога. Сравнивайте с TokenFlux и oFox; для RU-биллинга — RouterAI, Polza, Zveno.
Частые вопросы
- OpenRouter — подписка или pay-as-you-go?
- Credits без подписки: пополняете баланс и тратите на любые модели и провайдеров.
- OpenRouter совместим с OpenAI SDK?
- Да — меняете base URL на openrouter.ai/api/v1 и указываете API-ключ OpenRouter.
- Что такое Guardrails в OpenRouter?
- Политики безопасности: лимиты бюджета, zero data retention, ограничение моделей/провайдеров, защита от prompt injection.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
OpenRouter предлагает 367 моделей AI API. Средняя цена — ₽342/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.83/M (Ling-2.6-flash).
Сравните цены на Ling-2.6-flash , mistralai · mistral-nemo , Ling-3.0-flash , granite-4.0-h-micro и Nex-N2-Mini у других провайдеров или в каталоге агрегаторов . Данные обновлены 13.08.2026.