Российский аналог OpenRouter: сотни моделей без VPN
- Моделей
- 371
- Средняя цена
- ₽302/M
- Регион
- Россия · сайт на русский
- Оплата
- Карты РФ, Безнал для юрлиц
- Биллинг
- за токены
- API
- OpenAI-compatible
- Юрлица
- Да
На сайте цены в рублях, в API — в долларах за токен; на AI-APISHKA показываем доллары и пересчёт в ₽ по курсу каталога
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
371 моделей
Текст и чат
оплата за токены · 370
▼
Текст и чат
оплата за токены · 370
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| mistralai · mistral-nemo | Mistral | ₽1.60/M | ₽2.53/M | ₽45 |
| Ling 3.0 Flash | inclusionAI | ₽1.77/M | ₽5.30/M | ₽62 |
| Granite 4.0 Micro | IBM | ₽1.43/M | ₽9.43/M | ₽76 |
| Llama 3 8B Lunaris | Meta | ₽3.37/M | ₽4.21/M | ₽88 |
| gpt oss 20b | OpenAI | ₽2.53/M | ₽10.95/M | ₽105 |
| qwen3.7 flash | Qwen | ₽2.53/M | ₽10.95/M | ₽105 |
| Schematron V2 Turbo | Inference.net | ₽2.53/M | ₽12.63/M | ₽114 |
| Amazon Nova Micro | nova micro | ₽2.95/M | ₽11.79/M | ₽118 |
| mistralai · mistral-small-24b-instruct-2501 | Mistral | ₽4.21/M | ₽6.74/M | ₽118 |
| deepseek v4 flash | DeepSeek | ₽4.08/M -31% ввод | ₽8.16/M | ₽122 |
| Gemma 3 4B | ₽4.21/M | ₽8.42/M | ₽126 | |
| GPT-5 Nano (batch) | OpenAI | ₽2.10/M | ₽16.84/M | ₽126 |
| Command R7B (12-2024) | Cohere | ₽3.16/M | ₽12.63/M | ₽126 |
| Mercury 2.5 | Inception | ₽3.37/M | ₽12.63/M | ₽131 |
| gemma 3 12b it | ₽4.21/M | ₽12.63/M | ₽147 | |
| Hy-MT2-1.8B | Tencent | ₽3.70/M | ₽14.90/M | ₽149 |
| Laguna XS 2.1 | Poolside | ₽5.05/M | ₽10.10/M | ₽152 |
| DeepSeek V4 Flash Latest | DeepSeek | ₽4.41/M | ₽13.23/M | ₽154 |
| Ministral 3 8B 2512 (batch) | Mistral | ₽6.31/M | ₽6.31/M | ₽158 |
| qwen3 30b a3b instruct 2507 | Qwen | ₽4.05/M | ₽16.25/M | ₽162 |
| Gemini 2.5 Flash Lite (batch) | ₽4.21/M | ₽16.84/M | ₽168 | |
| GPT-4.1 Nano (batch) | OpenAI | ₽4.21/M | ₽16.84/M | ₽168 |
| Ling 3.0 Flash Fin | inclusionAI | ₽5.05/M | ₽15.16/M | ₽177 |
| Ling 3.0 Flash VL | inclusionAI | ₽5.05/M | ₽15.16/M | ₽177 |
| Phi 4 | Microsoft | ₽5.89/M | ₽11.79/M | ₽177 |
| Schematron V2 Small | Inference.net | ₽4.21/M | ₽19.37/M | ₽181 |
| MythoMax 13B | gryphe | ₽6.74/M | ₽9.26/M | ₽181 |
| Nemotron 3 Nano 30B A3B | NVIDIA | ₽5.05/M | ₽20.21/M | ₽202 |
| Nova Lite | nova lite | ₽5.05/M | ₽20.21/M | ₽202 |
| Granite 4.2 8B | IBM | ₽5.05/M | ₽21.05/M | ₽206 |
| mistralai · ministral-3b-2512 | Mistral | ₽8.42/M | ₽8.42/M | ₽210 |
| Reka Edge | rekaai | ₽8.42/M | ₽8.42/M | ₽210 |
| Nemotron 3.5 Lightning | NVIDIA | ₽6.74/M | ₽16.84/M | ₽219 |
| Qwen3.5 Flash | alibaba | ₽5.47/M | ₽21.89/M | ₽219 |
| Laguna S 2.1 | Poolside | ₽7.58/M | ₽15.16/M | ₽227 |
| qwen3.5 9b | Qwen | ₽8.42/M | ₽12.63/M | ₽232 |
| GLM 5.3 Flash (batch) | Z.ai | ₽6.31/M | ₽21.05/M | ₽232 |
| GLM Flash Latest | Z.ai | ₽6.31/M | ₽21.05/M | ₽232 |
| Qwen 3 Coder 30B A3B Instruct | Qwen | ₽5.89/M | ₽23.58/M | ₽236 |
| Hy-MT2-30B-A3B | Tencent | ₽6.23/M | ₽24.84/M | ₽249 |
| Hy-MT2-7B | Tencent | ₽6.23/M | ₽24.84/M | ₽249 |
| GPT-5 Nano | OpenAI | ₽4.21/M | ₽33.68/M | ₽253 |
| Qwen2.5 7B Instruct | Qwen | ₽8.42/M | ₽16.84/M | ₽253 |
| Reka Flash 3 | rekaai | ₽8.42/M | ₽16.84/M | ₽253 |
| UI-TARS 7B | ByteDance | ₽8.42/M | ₽16.84/M | ₽253 |
| gpt oss safeguard 20b | OpenAI | ₽6.31/M | ₽25.26/M | ₽253 |
| GPT-4o-mini (batch) | OpenAI | ₽6.31/M | ₽25.26/M | ₽253 |
| Mistral Small 4 (batch) | Mistral | ₽6.31/M | ₽25.26/M | ₽253 |
| qwen3 32b | Qwen | ₽6.74/M | ₽23.58/M | ₽253 |
| Seed 1.6 Flash | ByteDance Seed | ₽6.31/M | ₽25.26/M | ₽253 |
| mistralai · mistral-small-3.2-24b-instruct | Mistral | ₽7.89/M | ₽21.05/M | ₽263 |
| glm 4.7 flash | Z.ai | ₽5.09/M | ₽33.68/M | ₽270 |
| gemma 4 26b a4b it | ₽7.58/M | ₽25.26/M | ₽278 | |
| glm 5.3 flash | Z.ai | ₽7.58/M | ₽25.26/M | ₽278 |
| Hy3 | Tencent | ₽6.95/M | ₽27.79/M | ₽278 |
| gemma 4 31b it | ₽7.58/M | ₽28.63/M | ₽295 | |
| qwen3 235b a22b 2507 | Qwen | ₽7.37/M | ₽29.47/M | ₽295 |
| Step 3.5 Flash | StepFun | ₽8.42/M | ₽25.26/M | ₽295 |
| Voxtral Small 24B 2507 | Mistral | ₽8.42/M | ₽25.26/M | ₽295 |
| qwen3 14b | Qwen | ₽10.10/M | ₽20.21/M | ₽303 |
| Solar Pro 4 | Upstage | ₽7.58/M | ₽30.31/M | ₽303 |
| mistralai · ministral-8b-2512 | Mistral | ₽12.63/M | ₽12.63/M | ₽316 |
| DeepSeek V4 Flash 0731 (batch) | DeepSeek | ₽9.26/M | ₽27.79/M | ₽324 |
| DeepSeek V4 Flash Vision Exp (batch) | DeepSeek | ₽9.26/M | ₽27.79/M | ₽324 |
| gemma 3 27b it | ₽6.74/M | ₽37.89/M | ₽324 | |
| Nemotron 3 Super | NVIDIA | ₽6.74/M | ₽37.89/M | ₽324 |
| Gemini 2.5 Flash-Lite | ₽8.42/M | ₽33.68/M | ₽337 | |
| gpt 4.1 nano | OpenAI | ₽8.42/M | ₽33.68/M | ₽337 |
| Seed-2.0-Mini | ByteDance Seed | ₽8.42/M | ₽33.68/M | ₽337 |
| Ternary Bonsai 2 27B | PrismML | ₽6.31/M | ₽42.10/M | ₽337 |
| qwen3 vl 32b instruct | Qwen | ₽8.76/M | ₽35.03/M | ₽350 |
| MiMo-V2.5 | Xiaomi | ₽11.79/M | ₽23.58/M | ₽354 |
| qwen3 8b | Qwen | ₽9.85/M | ₽38.31/M | ₽389 |
| qwen3 vl 8b instruct | Qwen | ₽9.85/M | ₽38.31/M | ₽389 |
| Qwen3.5-9B (batch) | Qwen | ₽14.31/M | ₽21.05/M | ₽392 |
| qwen3 30b a3b | Qwen | ₽10.10/M | ₽42.10/M | ₽413 |
| GPT-5.6 Luna (batch) | OpenAI | ₽8.42/M | ₽50.52/M | ₽421 |
| GPT-5.6 Luna Pro (batch) | OpenAI | ₽8.42/M | ₽50.52/M | ₽421 |
| mistralai · ministral-14b-2512 | Mistral | ₽16.84/M | ₽16.84/M | ₽421 |
| Nemotron 3.5 Content Safety | NVIDIA | ₽16.84/M | ₽16.84/M | ₽421 |
| GPT-5.4 Nano (batch) | OpenAI | ₽8.42/M | ₽52.62/M | ₽432 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽10.95/M | ₽43.78/M | ₽438 |
| Codestral 2508 (batch) | Mistral | ₽12.63/M | ₽37.89/M | ₽442 |
| qwen3.8 flash | Qwen | ₽12.63/M | ₽39.57/M | ₽450 |
| DeepSeek Flash Latest | DeepSeek | ₽11.37/M | ₽45.47/M | ₽455 |
| hunyuan a13b | hunyuan a13b | ₽11.79/M | ₽47.99/M | ₽476 |
| Command R | command r | ₽12.63/M | ₽50.52/M | ₽505 |
| deepseek v4.1 flash | DeepSeek | ₽12.63/M | ₽50.52/M | ₽505 |
| gpt oss 120b | OpenAI | ₽12.63/M | ₽50.52/M | ₽505 |
| GPT-4o Mini | OpenAI | ₽12.63/M | ₽50.52/M | ₽505 |
| gpt-oss-120b (batch) | OpenAI | ₽12.63/M | ₽50.52/M | ₽505 |
| Mistral Small 4 | Mistral | ₽12.63/M | ₽50.52/M | ₽505 |
| Solar Pro 3 | Upstage | ₽12.63/M | ₽50.52/M | ₽505 |
| Gemini 3.1 Flash Lite (batch) | ₽10.52/M | ₽63.15/M | ₽526 | |
| qwen3 coder next | Qwen | ₽10.10/M | ₽67.36/M | ₽539 |
| qwen3.6 35b a3b | Qwen | ₽8.42/M | ₽75.78/M | ₽547 |
| glm 4.5 air | Z.ai | ₽10.95/M | ₽71.57/M | ₽577 |
| mistralai · mistral-saba | Mistral | ₽16.84/M | ₽50.52/M | ₽589 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽7.58/M | ₽92.62/M | ₽615 |
| deepseek v3.2 | DeepSeek | ₽22.65/M | ₽33.68/M | ₽621 |
| GPT-5 Mini (batch) | OpenAI | ₽10.52/M | ₽84.20/M | ₽631 |
| DeepSeek-V4-Flash-Vision | DeepSeek | ₽18.15/M | ₽54.46/M | ₽635 |
| GPT-4.1 Mini (batch) | OpenAI | ₽16.84/M | ₽67.36/M | ₽674 |
| Uncensored | Venice | ₽16.84/M | ₽75.78/M | ₽716 |
| Cydonia 24B V4.1 | TheDrummer | ₽25.26/M | ₽42.10/M | ₽716 |
| GPT-3.5 Turbo (batch) | OpenAI | ₽21.05/M | ₽63.15/M | ₽737 |
| Mercury 2 | Inception | ₽21.05/M | ₽63.15/M | ₽737 |
| Mistral Large 3 2512 (batch) | Mistral | ₽21.05/M | ₽63.15/M | ₽737 |
| qwen3 coder flash | Qwen | ₽16.42/M | ₽82.09/M | ₽739 |
| Mistral Medium 3.1 (batch) | Mistral | ₽16.84/M | ₽84.20/M | ₽758 |
| Trinity Large Thinking | Arcee AI | ₽21.05/M | ₽67.36/M | ₽758 |
| Qwen Plus | Qwen | ₽21.89/M | ₽65.67/M | ₽766 |
| qwen 2.5 72b instruct | Qwen | ₽30.31/M | ₽33.68/M | ₽775 |
| Gemini 2.5 Flash (batch) | ₽12.63/M | ₽105/M | ₽779 | |
| Gemini 3.5 Flash Lite (batch) | ₽12.63/M | ₽105/M | ₽779 | |
| qwen3.6 flash | Qwen | ₽15.79/M | ₽94.72/M | ₽789 |
| minimax 01 | MiniMax | ₽16.84/M | ₽92.62/M | ₽800 |
| Step 3.7 Flash | StepFun | ₽16.84/M | ₽96.83/M | ₽821 |
| deepseek chat v3.1 | DeepSeek | ₽21.05/M | ₽79.99/M | ₽821 |
| qwen3.5 35b a3b | Qwen | ₽13.68/M | ₽109/M | ₽821 |
| mistralai · mistral-small-3.1-24b-instruct | Mistral | ₽29.55/M | ₽46.73/M | ₽825 |
| gpt 5.6 luna | OpenAI | ₽16.84/M | ₽101/M | ₽842 |
| gpt 5.6 luna pro | OpenAI | ₽16.84/M | ₽101/M | ₽842 |
| GPT Luna Latest | OpenAI | ₽16.84/M | ₽101/M | ₽842 |
| UnslopNemo 12B | TheDrummer | ₽33.68/M | ₽33.68/M | ₽842 |
| DeepSeek Chat (V3) | DeepSeek | ₽21.05/M | ₽84.20/M | ₽842 |
| minimax m2 | MiniMax | ₽21.47/M | ₽85.88/M | ₽859 |
| gpt 5.4 nano | OpenAI | ₽16.84/M | ₽105/M | ₽863 |
| ReMM SLERP 13B | undi95 | ₽29.47/M | ₽54.73/M | ₽863 |
| deepseek v3.1 terminus | DeepSeek | ₽22.73/M | ₽84.20/M | ₽876 |
| Perceptron Mk1 | Perceptron | ₽12.63/M | ₽126/M | ₽884 |
| glm 4.6v | Z.ai | ₽25.26/M | ₽75.78/M | ₽884 |
| mistralai · codestral-2508 | Mistral | ₽25.26/M | ₽75.78/M | ₽884 |
| minimax m2.5 | MiniMax | ₽22.73/M | ₽90.93/M | ₽909 |
| qwen3 coder | Qwen | ₽25.26/M | ₽84.20/M | ₽926 |
| Claude 3 Haiku | Anthropic | ₽21.05/M | ₽105/M | ₽947 |
| qwen3.5 27b | Qwen | ₽16.42/M | ₽131/M | ₽985 |
| Weaver (alpha) | Mancer | ₽33.68/M | ₽63.15/M | ₽989 |
| KAT-Coder-Pro V2 | Kwaipilot | ₽25.26/M | ₽101/M | ₽1 010 |
| LongCat 2.0 | Meituan | ₽25.26/M | ₽101/M | ₽1 010 |
| minimax m2 her | MiniMax | ₽25.26/M | ₽101/M | ₽1 010 |
| minimax m2.1 | MiniMax | ₽25.26/M | ₽101/M | ₽1 010 |
| minimax m2.7 | MiniMax | ₽25.26/M | ₽101/M | ₽1 010 |
| minimax m3 | MiniMax | ₽25.26/M | ₽101/M | ₽1 010 |
| MiniMax M3 (batch) | MiniMax | ₽25.26/M | ₽101/M | ₽1 010 |
| Gemini 3 Flash Preview (batch) | ₽21.05/M | ₽126/M | ₽1 052 | |
| gemini 3.1 flash lite | ₽21.05/M | ₽126/M | ₽1 052 | |
| gemini 3.1 flash lite image | ₽21.05/M | ₽126/M | ₽1 052 | |
| qwen3.7 plus | Qwen | ₽26.94/M | ₽108/M | ₽1 078 |
| qwen3.5 plus | qwen3.5 plus | ₽21.89/M | ₽131/M | ₽1 095 |
| MiMo-V2.5-Pro | Xiaomi | ₽36.63/M | ₽73.25/M | ₽1 099 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽17.68/M | ₽160/M | ₽1 154 |
| ERNIE 4.5 VL 424B A47B | Baidu | ₽35.36/M | ₽105/M | ₽1 233 |
| GPT-5 Mini | OpenAI | ₽21.05/M | ₽168/M | ₽1 263 |
| GPT-5.1-Codex-Mini | OpenAI | ₽21.05/M | ₽168/M | ₽1 263 |
| Seed 1.6 | ByteDance Seed | ₽21.05/M | ₽168/M | ₽1 263 |
| Seed-2.0-Lite | ByteDance Seed | ₽21.05/M | ₽168/M | ₽1 263 |
| Inkling Small | Thinking Machines | ₽37.89/M | ₽101/M | ₽1 263 |
| Skyfall 36B V2 | TheDrummer | ₽46.31/M | ₽67.36/M | ₽1 263 |
| WizardLM-2 8x22B | microsoft | ₽52.20/M | ₽52.20/M | ₽1 305 |
| qwen3.5 122b a10b | Qwen | ₽21.89/M | ₽175/M | ₽1 313 |
| gpt 4.1 mini | OpenAI | ₽33.68/M | ₽135/M | ₽1 347 |
| qwen3.6 27b | Qwen | ₽25.26/M | ₽168/M | ₽1 347 |
| qwen3 235b a22b | Qwen | ₽19.37/M | ₽194/M | ₽1 356 |
| gemma 2 27b it | ₽54.73/M | ₽54.73/M | ₽1 368 | |
| qwen3.6 plus | Qwen | ₽27.36/M | ₽164/M | ₽1 368 |
| glm 4.7 | Z.ai | ₽33.68/M | ₽147/M | ₽1 410 |
| Llama 3.3 Euryale 70B | Meta | ₽54.73/M | ₽63.15/M | ₽1 410 |
| Gemini 3.6 Flash (batch) | ₽31.57/M | ₽158/M | ₽1 421 | |
| Gemini 3.7 Flash (batch) | ₽31.57/M | ₽158/M | ₽1 421 | |
| Gemini 3.8 Flash (batch) | ₽31.57/M | ₽158/M | ₽1 421 | |
| qwen3.8 27b | Qwen | ₽18.02/M | ₽215/M | ₽1 434 |
| glm 4.6 | Z.ai | ₽36.20/M | ₽147/M | ₽1 461 |
| gpt 3.5 turbo | OpenAI | ₽42.10/M | ₽126/M | ₽1 473 |
| Hermes 3 70B Instruct | Nous | ₽58.94/M | ₽58.94/M | ₽1 473 |
| mistralai · devstral-2512 | Mistral | ₽33.68/M | ₽168/M | ₽1 516 |
| mistralai · mistral-medium-3 | Mistral | ₽33.68/M | ₽168/M | ₽1 516 |
| mistralai · mistral-medium-3.1 | Mistral | ₽33.68/M | ₽168/M | ₽1 516 |
| Qwen2.5 Coder 32B Instruct | Qwen | ₽55.57/M | ₽84.20/M | ₽1 532 |
| Gemini 2.5 Flash | ₽25.26/M | ₽210/M | ₽1 558 | |
| gemini 2.5 flash image | ₽25.26/M | ₽210/M | ₽1 558 | |
| gemini 3.5 flash lite | ₽25.26/M | ₽210/M | ₽1 558 | |
| Nova 2 Lite | amazon | ₽25.26/M | ₽210/M | ₽1 558 |
| GPT-5.4 Mini (batch) | OpenAI | ₽31.57/M | ₽189/M | ₽1 579 |
| minimax m1 | MiniMax | ₽33.68/M | ₽185/M | ₽1 600 |
| glm 5.2 | Z.ai | ₽46.68/M -60% ввод | ₽147/M | ₽1 667 |
| deepseek r1 distill llama 70b | DeepSeek | ₽67.36/M | ₽67.36/M | ₽1 684 |
| DeepSeek Pro Latest | DeepSeek | ₽48.68/M | ₽146/M | ₽1 704 |
| deepseek v4 pro | DeepSeek | ₽48.68/M | ₽146/M | ₽1 704 |
| Kimi K2.5 | kimi k2.5 | ₽37.89/M | ₽189/M | ₽1 705 |
| DeepSeek R1 | DeepSeek | ₽42.10/M | ₽181/M | ₽1 747 |
| Qwen2.5 VL 72B Instruct | Qwen | ₽67.36/M | ₽84.20/M | ₽1 768 |
| Aion-3.0-Mini | AionLabs | ₽58.94/M | ₽118/M | ₽1 768 |
| glm 4.5v | Z.ai | ₽50.52/M | ₽152/M | ₽1 768 |
| Llama 3.1 Euryale 70B v2.2 | Meta | ₽71.57/M | ₽71.57/M | ₽1 789 |
| GLM-5 | glm 5 | ₽50.52/M | ₽162/M | ₽1 819 |
| morph · morph-v3-fast | morph | ₽67.36/M | ₽101/M | ₽1 852 |
| o3 Mini (batch) | OpenAI | ₽46.31/M | ₽185/M | ₽1 852 |
| o4 Mini (batch) | OpenAI | ₽46.31/M | ₽185/M | ₽1 852 |
| Claude Haiku 4.5 (batch) | Anthropic | ₽42.10/M | ₽210/M | ₽1 894 |
| Seed 2.1 Turbo | ByteDance Seed | ₽42.10/M | ₽210/M | ₽1 894 |
| Kimi K2 | kimi k2 | ₽47.99/M | ₽194/M | ₽1 928 |
| glm 4.5 | Z.ai | ₽50.52/M | ₽185/M | ₽1 937 |
| DeepSeek V4 Pro 0813 (batch) | DeepSeek | ₽55.57/M | ₽167/M | ₽1 945 |
| Relace Apply 3 | Relace | ₽71.57/M | ₽105/M | ₽1 958 |
| Aion-2.0 | AionLabs | ₽67.36/M | ₽135/M | ₽2 021 |
| Aion-RP 1.0 (8B) | AionLabs | ₽67.36/M | ₽135/M | ₽2 021 |
| gpt audio mini | OpenAI | ₽50.52/M | ₽202/M | ₽2 021 |
| Gemini 3 Flash | ₽42.10/M | ₽253/M | ₽2 105 | |
| GLM 5.2 (batch) | Z.ai | ₽58.94/M | ₽185/M | ₽2 105 |
| GLM 5.3 (batch) | Z.ai | ₽58.94/M | ₽185/M | ₽2 105 |
| Hermes 3 405B Instruct | Nous | ₽84.20/M | ₽84.20/M | ₽2 105 |
| Seed-2.0-Code | ByteDance Seed | ₽42.10/M | ₽253/M | ₽2 105 |
| Sonar | perplexity | ₽84.20/M | ₽84.20/M | ₽2 105 |
| morph · morph-v3-large | morph | ₽75.78/M | ₽160/M | ₽2 315 |
| Nemotron 3 Ultra | NVIDIA | ₽52.62/M | ₽263/M | ₽2 368 |
| qwen3.5 397b a17b | Qwen | ₽46.31/M | ₽295/M | ₽2 400 |
| Hy4 preview | Tencent | ₽70.22/M | ₽211/M | ₽2 457 |
| qwen3 coder plus | Qwen | ₽54.73/M | ₽274/M | ₽2 463 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽62.31/M | ₽249/M | ₽2 492 |
| Grok 4.3 (batch) | xAI | ₽84.20/M | ₽168/M | ₽2 526 |
| grok build 0.1 | xAI | ₽84.20/M | ₽168/M | ₽2 526 |
| kimi k2.7 code | MoonshotAI | ₽59.46/M | ₽270/M | ₽2 541 |
| GLM Latest | Z.ai | ₽75.09/M | ₽236/M | ₽2 682 |
| Nova Pro | nova pro | ₽67.36/M | ₽269/M | ₽2 694 |
| glm 5.3 | Z.ai | ₽76.62/M -35% ввод | ₽241/M | ₽2 736 |
| gemini 3.6 flash | ₽63.15/M | ₽316/M | ₽2 842 | |
| gemini 3.7 flash | ₽63.15/M | ₽316/M | ₽2 842 | |
| gemini 3.8 flash | ₽63.15/M | ₽316/M | ₽2 842 | |
| Gemini Flash Latest | ₽63.15/M | ₽316/M | ₽2 842 | |
| Mistral Medium 3.5 (batch) | Mistral | ₽63.15/M | ₽316/M | ₽2 842 |
| glm 5.1 | Z.ai | ₽81.33/M | ₽256/M | ₽2 905 |
| Hermes 4 405B | Nous | ₽84.20/M | ₽253/M | ₽2 947 |
| Relace Search | relace | ₽84.20/M | ₽253/M | ₽2 947 |
| Qwen3 Max | qwen3 max | ₽65.67/M | ₽328/M | ₽2 955 |
| Gemini 2.5 Pro (batch) | ₽52.62/M | ₽421/M | ₽3 157 | |
| Gemini 3.5 Flash (batch) | ₽63.15/M | ₽379/M | ₽3 157 | |
| gpt 5.4 mini | OpenAI | ₽63.15/M | ₽379/M | ₽3 157 |
| GPT Mini Latest | OpenAI | ₽63.15/M | ₽379/M | ₽3 157 |
| GPT-5 (batch) | OpenAI | ₽52.62/M | ₽421/M | ₽3 157 |
| GPT-5.1 (batch) | OpenAI | ₽52.62/M | ₽421/M | ₽3 157 |
| grok 4.20 | xAI | ₽105/M | ₽210/M | ₽3 157 |
| grok 4.20 multi agent | xAI | ₽105/M | ₽210/M | ₽3 157 |
| grok 4.3 | xAI | ₽105/M | ₽210/M | ₽3 157 |
| kimi k2.6 | MoonshotAI | ₽79.99/M | ₽337/M | ₽3 284 |
| Sakana Namazu | Sakana | ₽79.99/M | ₽337/M | ₽3 284 |
| GPT-4.1 (batch) | OpenAI | ₽84.20/M | ₽337/M | ₽3 368 |
| o3 (batch) | OpenAI | ₽84.20/M | ₽337/M | ₽3 368 |
| Inkling | Thinking Machines | ₽84.20/M | ₽341/M | ₽3 389 |
| Inkling (batch) | Thinking Machines | ₽84.20/M | ₽341/M | ₽3 389 |
| Palmyra X5 | Writer | ₽50.52/M | ₽505/M | ₽3 536 |
| glm 5 turbo | Z.ai | ₽101/M | ₽337/M | ₽3 705 |
| glm 5v turbo | Z.ai | ₽101/M | ₽337/M | ₽3 705 |
| O3 Mini | OpenAI | ₽92.62/M | ₽370/M | ₽3 705 |
| o3 mini high | OpenAI | ₽92.62/M | ₽370/M | ₽3 705 |
| O4 Mini | OpenAI | ₽92.62/M | ₽370/M | ₽3 705 |
| o4 mini high | OpenAI | ₽92.62/M | ₽370/M | ₽3 705 |
| Claude Haiku 4.5 | Anthropic | ₽84.20/M | ₽421/M | ₽3 789 |
| Claude Haiku Latest | Anthropic | ₽84.20/M | ₽421/M | ₽3 789 |
| Claude Sonnet 5 (batch) | Anthropic | ₽84.20/M | ₽421/M | ₽3 789 |
| GPT-5.6 Sol (batch) | OpenAI | ₽84.20/M | ₽421/M | ₽3 789 |
| GPT-5.6 Sol Pro (batch) | OpenAI | ₽84.20/M | ₽421/M | ₽3 789 |
| Gemini 3.1 Pro Preview (batch) | ₽84.20/M | ₽505/M | ₽4 210 | |
| GPT-4o (batch) | OpenAI | ₽105/M | ₽421/M | ₽4 210 |
| GPT-5.6 Terra (batch) | OpenAI | ₽84.20/M | ₽505/M | ₽4 210 |
| GPT-5.6 Terra Pro (batch) | OpenAI | ₽84.20/M | ₽505/M | ₽4 210 |
| Qwen3.6 Max | qwen3.6 max | ₽86.47/M | ₽519/M | ₽4 324 |
| qwen3.7 max | Qwen | ₽124/M | ₽373/M | ₽4 347 |
| GPT-5.2 (batch) | OpenAI | ₽73.67/M | ₽589/M | ₽4 420 |
| gpt 5 image mini | OpenAI | ₽210/M | ₽168/M | ₽5 052 |
| GPT-5.4 (batch) | OpenAI | ₽105/M | ₽631/M | ₽5 262 |
| Claude Sonnet 4.5 (batch) | Anthropic | ₽126/M | ₽631/M | ₽5 683 |
| Claude Sonnet 4.6 (batch) | Anthropic | ₽126/M | ₽631/M | ₽5 683 |
| mistralai · mistral-medium-3-5 | Mistral | ₽126/M | ₽631/M | ₽5 683 |
| Fugu Max | Sakana | ₽168/M | ₽505/M | ₽5 894 |
| grok 4.5 | xAI | ₽168/M | ₽505/M | ₽5 894 |
| Grok 4.6 | xAI | ₽168/M | ₽505/M | ₽5 894 |
| Grok Latest | xAI | ₽168/M | ₽505/M | ₽5 894 |
| Mistral Large 2407 | Mistral | ₽168/M | ₽505/M | ₽5 894 |
| mistralai · mistral-large | Mistral | ₽168/M | ₽505/M | ₽5 894 |
| mistralai · mixtral-8x22b-instruct | Mistral | ₽168/M | ₽505/M | ₽5 894 |
| Qwen3.8 2.4T A95B | Qwen | ₽168/M | ₽505/M | ₽5 894 |
| Qwen3.8 2.4T A95B (batch) | Qwen | ₽168/M | ₽505/M | ₽5 894 |
| qwen3.8 max | qwen3.8 max | ₽168/M | ₽505/M | ₽5 894 |
| Gemini 2.5 Pro | ₽105/M | ₽842/M | ₽6 315 | |
| gemini 3.5 flash | ₽126/M | ₽758/M | ₽6 315 | |
| gpt 5.1 | OpenAI | ₽105/M | ₽842/M | ₽6 315 |
| GPT-5 | OpenAI | ₽105/M | ₽842/M | ₽6 315 |
| GPT-5.1-Codex | OpenAI | ₽105/M | ₽842/M | ₽6 315 |
| GPT-5.1-Codex-Max | OpenAI | ₽105/M | ₽842/M | ₽6 315 |
| Magnum v4 72B | anthracite org | ₽210/M | ₽421/M | ₽6 315 |
| gpt 3.5 turbo 16k | OpenAI | ₽253/M | ₽337/M | ₽6 736 |
| gpt 4.1 | OpenAI | ₽168/M | ₽674/M | ₽6 736 |
| O3 | OpenAI | ₽168/M | ₽674/M | ₽6 736 |
| sonar deep research | perplexity | ₽168/M | ₽674/M | ₽6 736 |
| sonar reasoning pro | perplexity | ₽168/M | ₽674/M | ₽6 736 |
| Pareto | unbiased | ₽210/M | ₽631/M | ₽7 367 |
| Aion-3.0 | AionLabs | ₽253/M | ₽505/M | ₽7 578 |
| claude sonnet 5 | Anthropic | ₽168/M | ₽842/M | ₽7 578 |
| Claude Sonnet Latest | Anthropic | ₽168/M | ₽842/M | ₽7 578 |
| gpt 5.6 sol | OpenAI | ₽168/M | ₽842/M | ₽7 578 |
| gpt 5.6 sol pro | OpenAI | ₽168/M | ₽842/M | ₽7 578 |
| GPT Sol Latest | OpenAI | ₽168/M | ₽842/M | ₽7 578 |
| kimi k3 | MoonshotAI | ₽164/M -35% ввод | ₽919/M | ₽7 881 |
| Kimi Latest | MoonshotAI | ₽164/M | ₽919/M | ₽7 881 |
| Command A | Cohere | ₽210/M | ₽842/M | ₽8 420 |
| Command R Plus | command r plus | ₽210/M | ₽842/M | ₽8 420 |
| Gemini 3.1 Pro | ₽168/M | ₽1 010/M | ₽8 420 | |
| gemini 3.1 pro preview customtools | ₽168/M | ₽1 010/M | ₽8 420 | |
| Gemini Pro Latest | ₽168/M | ₽1 010/M | ₽8 420 | |
| gpt 5.6 terra | OpenAI | ₽168/M | ₽1 010/M | ₽8 420 |
| gpt 5.6 terra pro | OpenAI | ₽168/M | ₽1 010/M | ₽8 420 |
| gpt audio | OpenAI | ₽210/M | ₽842/M | ₽8 420 |
| GPT Terra Latest | OpenAI | ₽168/M | ₽1 010/M | ₽8 420 |
| GPT-4o | OpenAI | ₽210/M | ₽842/M | ₽8 420 |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽168/M | ₽1 010/M | ₽8 420 | |
| gpt 5.2 | OpenAI | ₽147/M | ₽1 179/M | ₽8 841 |
| gpt 5.3 codex | OpenAI | ₽147/M | ₽1 179/M | ₽8 841 |
| GPT-5.2 Chat | OpenAI | ₽147/M | ₽1 179/M | ₽8 841 |
| GPT-5.2-Codex | OpenAI | ₽147/M | ₽1 179/M | ₽8 841 |
| Claude Opus 4.5 (batch) | Anthropic | ₽210/M | ₽1 052/M | ₽9 472 |
| Claude Opus 4.6 (batch) | Anthropic | ₽210/M | ₽1 052/M | ₽9 472 |
| Claude Opus 4.7 (batch) | Anthropic | ₽210/M | ₽1 052/M | ₽9 472 |
| Claude Opus 4.8 (batch) | Anthropic | ₽210/M | ₽1 052/M | ₽9 472 |
| Claude Opus 5 (batch) | Anthropic | ₽210/M | ₽1 052/M | ₽9 472 |
| Nova Premier 1.0 | Amazon | ₽210/M | ₽1 052/M | ₽9 472 |
| gpt 5.4 | OpenAI | ₽210/M | ₽1 263/M | ₽10 525 |
| GPT-5.5 (batch) | OpenAI | ₽210/M | ₽1 263/M | ₽10 525 |
| Claude Sonnet 4 | Anthropic | ₽253/M | ₽1 263/M | ₽11 367 |
| Claude Sonnet 4.5 | Anthropic | ₽253/M | ₽1 263/M | ₽11 367 |
| Claude Sonnet 4.6 | Anthropic | ₽253/M | ₽1 263/M | ₽11 367 |
| Kimi K3 (batch) | MoonshotAI | ₽253/M | ₽1 263/M | ₽11 367 |
| sonar pro | perplexity | ₽253/M | ₽1 263/M | ₽11 367 |
| GPT-4 Turbo (batch) | OpenAI | ₽421/M | ₽1 263/M | ₽14 735 |
| Claude Fable 5 (batch) | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| Claude Fable 5.1 (batch) | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| Claude Opus 4.5 | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| Claude Opus 4.6 | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| Claude Opus 4.7 | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| claude opus 4.8 | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| claude opus 5 | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| Claude Opus Latest | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| GPT-6 Astra (batch) | OpenAI | ₽421/M | ₽2 105/M | ₽18 944 |
| GPT-6 Astra Pro (batch) | OpenAI | ₽421/M | ₽2 105/M | ₽18 944 |
| GPT-5.4 Image 2 | OpenAI | ₽674/M | ₽1 263/M | ₽19 786 |
| Fugu Ultra | Sakana | ₽421/M | ₽2 526/M | ₽21 049 |
| gpt 5 image | OpenAI | ₽842/M | ₽842/M | ₽21 049 |
| gpt 5.5 | OpenAI | ₽421/M | ₽2 526/M | ₽21 049 |
| GPT Chat Latest | OpenAI | ₽421/M | ₽2 526/M | ₽21 049 |
| Claude Opus 4.1 (batch) | Anthropic | ₽631/M | ₽3 157/M | ₽28 417 |
| gpt 4 turbo | OpenAI | ₽842/M | ₽2 526/M | ₽29 469 |
| claude fable 5 | Anthropic | ₽842/M | ₽4 210/M | ₽37 889 |
| claude fable 5.1 | Anthropic | ₽842/M | ₽4 210/M | ₽37 889 |
| Claude Fable Latest | Anthropic | ₽842/M | ₽4 210/M | ₽37 889 |
| GPT Astra Latest | OpenAI | ₽842/M | ₽4 210/M | ₽37 889 |
| GPT-5 Pro (batch) | OpenAI | ₽631/M | ₽5 052/M | ₽37 889 |
| GPT-6 Astra | OpenAI | ₽842/M | ₽4 210/M | ₽37 889 |
| GPT-6 Astra Pro | OpenAI | ₽842/M | ₽4 210/M | ₽37 889 |
| O1 | OpenAI | ₽1 263/M | ₽5 052/M | ₽50 519 |
| GPT-5.2 Pro (batch) | OpenAI | ₽884/M | ₽7 073/M | ₽53 044 |
| Claude Opus 4 | Anthropic | ₽1 263/M | ₽6 315/M | ₽56 833 |
| GPT-5.4 Pro (batch) | OpenAI | ₽1 263/M | ₽7 578/M | ₽63 148 |
| GPT-5.5 Pro (batch) | OpenAI | ₽1 263/M | ₽7 578/M | ₽63 148 |
| o3 pro | OpenAI | ₽1 684/M | ₽6 736/M | ₽67 358 |
| gpt 4 | OpenAI | ₽2 526/M | ₽5 052/M | ₽75 778 |
| gpt 5 pro | OpenAI | ₽1 263/M | ₽10 104/M | ₽75 778 |
| gpt 5.2 pro | OpenAI | ₽1 768/M | ₽14 145/M | ₽106 089 |
| gpt 5.4 pro | OpenAI | ₽2 526/M | ₽15 156/M | ₽126 296 |
| gpt 5.5 pro | OpenAI | ₽2 526/M | ₽15 156/M | ₽126 296 |
| o1 pro | OpenAI | ₽12 630/M | ₽50 519/M | ₽505 185 |
Текст и чат
оплата за токены · 370
▼
Текст и чат
оплата за токены · 370
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| mistralai · mistral-nemo | Mistral | ₽1.60/M | ₽2.53/M | ₽45 |
| Ling 3.0 Flash | inclusionAI | ₽1.77/M | ₽5.30/M | ₽62 |
| Granite 4.0 Micro | IBM | ₽1.43/M | ₽9.43/M | ₽76 |
| Llama 3 8B Lunaris | Meta | ₽3.37/M | ₽4.21/M | ₽88 |
| gpt oss 20b | OpenAI | ₽2.53/M | ₽10.95/M | ₽105 |
| qwen3.7 flash | Qwen | ₽2.53/M | ₽10.95/M | ₽105 |
| Schematron V2 Turbo | Inference.net | ₽2.53/M | ₽12.63/M | ₽114 |
| Amazon Nova Micro | nova micro | ₽2.95/M | ₽11.79/M | ₽118 |
| mistralai · mistral-small-24b-instruct-2501 | Mistral | ₽4.21/M | ₽6.74/M | ₽118 |
| deepseek v4 flash | DeepSeek | ₽4.08/M -31% ввод | ₽8.16/M | ₽122 |
| Gemma 3 4B | ₽4.21/M | ₽8.42/M | ₽126 | |
| GPT-5 Nano (batch) | OpenAI | ₽2.10/M | ₽16.84/M | ₽126 |
| Command R7B (12-2024) | Cohere | ₽3.16/M | ₽12.63/M | ₽126 |
| Mercury 2.5 | Inception | ₽3.37/M | ₽12.63/M | ₽131 |
| gemma 3 12b it | ₽4.21/M | ₽12.63/M | ₽147 | |
| Hy-MT2-1.8B | Tencent | ₽3.70/M | ₽14.90/M | ₽149 |
| Laguna XS 2.1 | Poolside | ₽5.05/M | ₽10.10/M | ₽152 |
| DeepSeek V4 Flash Latest | DeepSeek | ₽4.41/M | ₽13.23/M | ₽154 |
| Ministral 3 8B 2512 (batch) | Mistral | ₽6.31/M | ₽6.31/M | ₽158 |
| qwen3 30b a3b instruct 2507 | Qwen | ₽4.05/M | ₽16.25/M | ₽162 |
| Gemini 2.5 Flash Lite (batch) | ₽4.21/M | ₽16.84/M | ₽168 | |
| GPT-4.1 Nano (batch) | OpenAI | ₽4.21/M | ₽16.84/M | ₽168 |
| Ling 3.0 Flash Fin | inclusionAI | ₽5.05/M | ₽15.16/M | ₽177 |
| Ling 3.0 Flash VL | inclusionAI | ₽5.05/M | ₽15.16/M | ₽177 |
| Phi 4 | Microsoft | ₽5.89/M | ₽11.79/M | ₽177 |
| Schematron V2 Small | Inference.net | ₽4.21/M | ₽19.37/M | ₽181 |
| MythoMax 13B | gryphe | ₽6.74/M | ₽9.26/M | ₽181 |
| Nemotron 3 Nano 30B A3B | NVIDIA | ₽5.05/M | ₽20.21/M | ₽202 |
| Nova Lite | nova lite | ₽5.05/M | ₽20.21/M | ₽202 |
| Granite 4.2 8B | IBM | ₽5.05/M | ₽21.05/M | ₽206 |
| mistralai · ministral-3b-2512 | Mistral | ₽8.42/M | ₽8.42/M | ₽210 |
| Reka Edge | rekaai | ₽8.42/M | ₽8.42/M | ₽210 |
| Nemotron 3.5 Lightning | NVIDIA | ₽6.74/M | ₽16.84/M | ₽219 |
| Qwen3.5 Flash | alibaba | ₽5.47/M | ₽21.89/M | ₽219 |
| Laguna S 2.1 | Poolside | ₽7.58/M | ₽15.16/M | ₽227 |
| qwen3.5 9b | Qwen | ₽8.42/M | ₽12.63/M | ₽232 |
| GLM 5.3 Flash (batch) | Z.ai | ₽6.31/M | ₽21.05/M | ₽232 |
| GLM Flash Latest | Z.ai | ₽6.31/M | ₽21.05/M | ₽232 |
| Qwen 3 Coder 30B A3B Instruct | Qwen | ₽5.89/M | ₽23.58/M | ₽236 |
| Hy-MT2-30B-A3B | Tencent | ₽6.23/M | ₽24.84/M | ₽249 |
| Hy-MT2-7B | Tencent | ₽6.23/M | ₽24.84/M | ₽249 |
| GPT-5 Nano | OpenAI | ₽4.21/M | ₽33.68/M | ₽253 |
| Qwen2.5 7B Instruct | Qwen | ₽8.42/M | ₽16.84/M | ₽253 |
| Reka Flash 3 | rekaai | ₽8.42/M | ₽16.84/M | ₽253 |
| UI-TARS 7B | ByteDance | ₽8.42/M | ₽16.84/M | ₽253 |
| gpt oss safeguard 20b | OpenAI | ₽6.31/M | ₽25.26/M | ₽253 |
| GPT-4o-mini (batch) | OpenAI | ₽6.31/M | ₽25.26/M | ₽253 |
| Mistral Small 4 (batch) | Mistral | ₽6.31/M | ₽25.26/M | ₽253 |
| qwen3 32b | Qwen | ₽6.74/M | ₽23.58/M | ₽253 |
| Seed 1.6 Flash | ByteDance Seed | ₽6.31/M | ₽25.26/M | ₽253 |
| mistralai · mistral-small-3.2-24b-instruct | Mistral | ₽7.89/M | ₽21.05/M | ₽263 |
| glm 4.7 flash | Z.ai | ₽5.09/M | ₽33.68/M | ₽270 |
| gemma 4 26b a4b it | ₽7.58/M | ₽25.26/M | ₽278 | |
| glm 5.3 flash | Z.ai | ₽7.58/M | ₽25.26/M | ₽278 |
| Hy3 | Tencent | ₽6.95/M | ₽27.79/M | ₽278 |
| gemma 4 31b it | ₽7.58/M | ₽28.63/M | ₽295 | |
| qwen3 235b a22b 2507 | Qwen | ₽7.37/M | ₽29.47/M | ₽295 |
| Step 3.5 Flash | StepFun | ₽8.42/M | ₽25.26/M | ₽295 |
| Voxtral Small 24B 2507 | Mistral | ₽8.42/M | ₽25.26/M | ₽295 |
| qwen3 14b | Qwen | ₽10.10/M | ₽20.21/M | ₽303 |
| Solar Pro 4 | Upstage | ₽7.58/M | ₽30.31/M | ₽303 |
| mistralai · ministral-8b-2512 | Mistral | ₽12.63/M | ₽12.63/M | ₽316 |
| DeepSeek V4 Flash 0731 (batch) | DeepSeek | ₽9.26/M | ₽27.79/M | ₽324 |
| DeepSeek V4 Flash Vision Exp (batch) | DeepSeek | ₽9.26/M | ₽27.79/M | ₽324 |
| gemma 3 27b it | ₽6.74/M | ₽37.89/M | ₽324 | |
| Nemotron 3 Super | NVIDIA | ₽6.74/M | ₽37.89/M | ₽324 |
| Gemini 2.5 Flash-Lite | ₽8.42/M | ₽33.68/M | ₽337 | |
| gpt 4.1 nano | OpenAI | ₽8.42/M | ₽33.68/M | ₽337 |
| Seed-2.0-Mini | ByteDance Seed | ₽8.42/M | ₽33.68/M | ₽337 |
| Ternary Bonsai 2 27B | PrismML | ₽6.31/M | ₽42.10/M | ₽337 |
| qwen3 vl 32b instruct | Qwen | ₽8.76/M | ₽35.03/M | ₽350 |
| MiMo-V2.5 | Xiaomi | ₽11.79/M | ₽23.58/M | ₽354 |
| qwen3 8b | Qwen | ₽9.85/M | ₽38.31/M | ₽389 |
| qwen3 vl 8b instruct | Qwen | ₽9.85/M | ₽38.31/M | ₽389 |
| Qwen3.5-9B (batch) | Qwen | ₽14.31/M | ₽21.05/M | ₽392 |
| qwen3 30b a3b | Qwen | ₽10.10/M | ₽42.10/M | ₽413 |
| GPT-5.6 Luna (batch) | OpenAI | ₽8.42/M | ₽50.52/M | ₽421 |
| GPT-5.6 Luna Pro (batch) | OpenAI | ₽8.42/M | ₽50.52/M | ₽421 |
| mistralai · ministral-14b-2512 | Mistral | ₽16.84/M | ₽16.84/M | ₽421 |
| Nemotron 3.5 Content Safety | NVIDIA | ₽16.84/M | ₽16.84/M | ₽421 |
| GPT-5.4 Nano (batch) | OpenAI | ₽8.42/M | ₽52.62/M | ₽432 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽10.95/M | ₽43.78/M | ₽438 |
| Codestral 2508 (batch) | Mistral | ₽12.63/M | ₽37.89/M | ₽442 |
| qwen3.8 flash | Qwen | ₽12.63/M | ₽39.57/M | ₽450 |
| DeepSeek Flash Latest | DeepSeek | ₽11.37/M | ₽45.47/M | ₽455 |
| hunyuan a13b | hunyuan a13b | ₽11.79/M | ₽47.99/M | ₽476 |
| Command R | command r | ₽12.63/M | ₽50.52/M | ₽505 |
| deepseek v4.1 flash | DeepSeek | ₽12.63/M | ₽50.52/M | ₽505 |
| gpt oss 120b | OpenAI | ₽12.63/M | ₽50.52/M | ₽505 |
| GPT-4o Mini | OpenAI | ₽12.63/M | ₽50.52/M | ₽505 |
| gpt-oss-120b (batch) | OpenAI | ₽12.63/M | ₽50.52/M | ₽505 |
| Mistral Small 4 | Mistral | ₽12.63/M | ₽50.52/M | ₽505 |
| Solar Pro 3 | Upstage | ₽12.63/M | ₽50.52/M | ₽505 |
| Gemini 3.1 Flash Lite (batch) | ₽10.52/M | ₽63.15/M | ₽526 | |
| qwen3 coder next | Qwen | ₽10.10/M | ₽67.36/M | ₽539 |
| qwen3.6 35b a3b | Qwen | ₽8.42/M | ₽75.78/M | ₽547 |
| glm 4.5 air | Z.ai | ₽10.95/M | ₽71.57/M | ₽577 |
| mistralai · mistral-saba | Mistral | ₽16.84/M | ₽50.52/M | ₽589 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽7.58/M | ₽92.62/M | ₽615 |
| deepseek v3.2 | DeepSeek | ₽22.65/M | ₽33.68/M | ₽621 |
| GPT-5 Mini (batch) | OpenAI | ₽10.52/M | ₽84.20/M | ₽631 |
| DeepSeek-V4-Flash-Vision | DeepSeek | ₽18.15/M | ₽54.46/M | ₽635 |
| GPT-4.1 Mini (batch) | OpenAI | ₽16.84/M | ₽67.36/M | ₽674 |
| Uncensored | Venice | ₽16.84/M | ₽75.78/M | ₽716 |
| Cydonia 24B V4.1 | TheDrummer | ₽25.26/M | ₽42.10/M | ₽716 |
| GPT-3.5 Turbo (batch) | OpenAI | ₽21.05/M | ₽63.15/M | ₽737 |
| Mercury 2 | Inception | ₽21.05/M | ₽63.15/M | ₽737 |
| Mistral Large 3 2512 (batch) | Mistral | ₽21.05/M | ₽63.15/M | ₽737 |
| qwen3 coder flash | Qwen | ₽16.42/M | ₽82.09/M | ₽739 |
| Mistral Medium 3.1 (batch) | Mistral | ₽16.84/M | ₽84.20/M | ₽758 |
| Trinity Large Thinking | Arcee AI | ₽21.05/M | ₽67.36/M | ₽758 |
| Qwen Plus | Qwen | ₽21.89/M | ₽65.67/M | ₽766 |
| qwen 2.5 72b instruct | Qwen | ₽30.31/M | ₽33.68/M | ₽775 |
| Gemini 2.5 Flash (batch) | ₽12.63/M | ₽105/M | ₽779 | |
| Gemini 3.5 Flash Lite (batch) | ₽12.63/M | ₽105/M | ₽779 | |
| qwen3.6 flash | Qwen | ₽15.79/M | ₽94.72/M | ₽789 |
| minimax 01 | MiniMax | ₽16.84/M | ₽92.62/M | ₽800 |
| Step 3.7 Flash | StepFun | ₽16.84/M | ₽96.83/M | ₽821 |
| deepseek chat v3.1 | DeepSeek | ₽21.05/M | ₽79.99/M | ₽821 |
| qwen3.5 35b a3b | Qwen | ₽13.68/M | ₽109/M | ₽821 |
| mistralai · mistral-small-3.1-24b-instruct | Mistral | ₽29.55/M | ₽46.73/M | ₽825 |
| gpt 5.6 luna | OpenAI | ₽16.84/M | ₽101/M | ₽842 |
| gpt 5.6 luna pro | OpenAI | ₽16.84/M | ₽101/M | ₽842 |
| GPT Luna Latest | OpenAI | ₽16.84/M | ₽101/M | ₽842 |
| UnslopNemo 12B | TheDrummer | ₽33.68/M | ₽33.68/M | ₽842 |
| DeepSeek Chat (V3) | DeepSeek | ₽21.05/M | ₽84.20/M | ₽842 |
| minimax m2 | MiniMax | ₽21.47/M | ₽85.88/M | ₽859 |
| gpt 5.4 nano | OpenAI | ₽16.84/M | ₽105/M | ₽863 |
| ReMM SLERP 13B | undi95 | ₽29.47/M | ₽54.73/M | ₽863 |
| deepseek v3.1 terminus | DeepSeek | ₽22.73/M | ₽84.20/M | ₽876 |
| Perceptron Mk1 | Perceptron | ₽12.63/M | ₽126/M | ₽884 |
| glm 4.6v | Z.ai | ₽25.26/M | ₽75.78/M | ₽884 |
| mistralai · codestral-2508 | Mistral | ₽25.26/M | ₽75.78/M | ₽884 |
| minimax m2.5 | MiniMax | ₽22.73/M | ₽90.93/M | ₽909 |
| qwen3 coder | Qwen | ₽25.26/M | ₽84.20/M | ₽926 |
| Claude 3 Haiku | Anthropic | ₽21.05/M | ₽105/M | ₽947 |
| qwen3.5 27b | Qwen | ₽16.42/M | ₽131/M | ₽985 |
| Weaver (alpha) | Mancer | ₽33.68/M | ₽63.15/M | ₽989 |
| KAT-Coder-Pro V2 | Kwaipilot | ₽25.26/M | ₽101/M | ₽1 010 |
| LongCat 2.0 | Meituan | ₽25.26/M | ₽101/M | ₽1 010 |
| minimax m2 her | MiniMax | ₽25.26/M | ₽101/M | ₽1 010 |
| minimax m2.1 | MiniMax | ₽25.26/M | ₽101/M | ₽1 010 |
| minimax m2.7 | MiniMax | ₽25.26/M | ₽101/M | ₽1 010 |
| minimax m3 | MiniMax | ₽25.26/M | ₽101/M | ₽1 010 |
| MiniMax M3 (batch) | MiniMax | ₽25.26/M | ₽101/M | ₽1 010 |
| Gemini 3 Flash Preview (batch) | ₽21.05/M | ₽126/M | ₽1 052 | |
| gemini 3.1 flash lite | ₽21.05/M | ₽126/M | ₽1 052 | |
| gemini 3.1 flash lite image | ₽21.05/M | ₽126/M | ₽1 052 | |
| qwen3.7 plus | Qwen | ₽26.94/M | ₽108/M | ₽1 078 |
| qwen3.5 plus | qwen3.5 plus | ₽21.89/M | ₽131/M | ₽1 095 |
| MiMo-V2.5-Pro | Xiaomi | ₽36.63/M | ₽73.25/M | ₽1 099 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽17.68/M | ₽160/M | ₽1 154 |
| ERNIE 4.5 VL 424B A47B | Baidu | ₽35.36/M | ₽105/M | ₽1 233 |
| GPT-5 Mini | OpenAI | ₽21.05/M | ₽168/M | ₽1 263 |
| GPT-5.1-Codex-Mini | OpenAI | ₽21.05/M | ₽168/M | ₽1 263 |
| Seed 1.6 | ByteDance Seed | ₽21.05/M | ₽168/M | ₽1 263 |
| Seed-2.0-Lite | ByteDance Seed | ₽21.05/M | ₽168/M | ₽1 263 |
| Inkling Small | Thinking Machines | ₽37.89/M | ₽101/M | ₽1 263 |
| Skyfall 36B V2 | TheDrummer | ₽46.31/M | ₽67.36/M | ₽1 263 |
| WizardLM-2 8x22B | microsoft | ₽52.20/M | ₽52.20/M | ₽1 305 |
| qwen3.5 122b a10b | Qwen | ₽21.89/M | ₽175/M | ₽1 313 |
| gpt 4.1 mini | OpenAI | ₽33.68/M | ₽135/M | ₽1 347 |
| qwen3.6 27b | Qwen | ₽25.26/M | ₽168/M | ₽1 347 |
| qwen3 235b a22b | Qwen | ₽19.37/M | ₽194/M | ₽1 356 |
| gemma 2 27b it | ₽54.73/M | ₽54.73/M | ₽1 368 | |
| qwen3.6 plus | Qwen | ₽27.36/M | ₽164/M | ₽1 368 |
| glm 4.7 | Z.ai | ₽33.68/M | ₽147/M | ₽1 410 |
| Llama 3.3 Euryale 70B | Meta | ₽54.73/M | ₽63.15/M | ₽1 410 |
| Gemini 3.6 Flash (batch) | ₽31.57/M | ₽158/M | ₽1 421 | |
| Gemini 3.7 Flash (batch) | ₽31.57/M | ₽158/M | ₽1 421 | |
| Gemini 3.8 Flash (batch) | ₽31.57/M | ₽158/M | ₽1 421 | |
| qwen3.8 27b | Qwen | ₽18.02/M | ₽215/M | ₽1 434 |
| glm 4.6 | Z.ai | ₽36.20/M | ₽147/M | ₽1 461 |
| gpt 3.5 turbo | OpenAI | ₽42.10/M | ₽126/M | ₽1 473 |
| Hermes 3 70B Instruct | Nous | ₽58.94/M | ₽58.94/M | ₽1 473 |
| mistralai · devstral-2512 | Mistral | ₽33.68/M | ₽168/M | ₽1 516 |
| mistralai · mistral-medium-3 | Mistral | ₽33.68/M | ₽168/M | ₽1 516 |
| mistralai · mistral-medium-3.1 | Mistral | ₽33.68/M | ₽168/M | ₽1 516 |
| Qwen2.5 Coder 32B Instruct | Qwen | ₽55.57/M | ₽84.20/M | ₽1 532 |
| Gemini 2.5 Flash | ₽25.26/M | ₽210/M | ₽1 558 | |
| gemini 2.5 flash image | ₽25.26/M | ₽210/M | ₽1 558 | |
| gemini 3.5 flash lite | ₽25.26/M | ₽210/M | ₽1 558 | |
| Nova 2 Lite | amazon | ₽25.26/M | ₽210/M | ₽1 558 |
| GPT-5.4 Mini (batch) | OpenAI | ₽31.57/M | ₽189/M | ₽1 579 |
| minimax m1 | MiniMax | ₽33.68/M | ₽185/M | ₽1 600 |
| glm 5.2 | Z.ai | ₽46.68/M -60% ввод | ₽147/M | ₽1 667 |
| deepseek r1 distill llama 70b | DeepSeek | ₽67.36/M | ₽67.36/M | ₽1 684 |
| DeepSeek Pro Latest | DeepSeek | ₽48.68/M | ₽146/M | ₽1 704 |
| deepseek v4 pro | DeepSeek | ₽48.68/M | ₽146/M | ₽1 704 |
| Kimi K2.5 | kimi k2.5 | ₽37.89/M | ₽189/M | ₽1 705 |
| DeepSeek R1 | DeepSeek | ₽42.10/M | ₽181/M | ₽1 747 |
| Qwen2.5 VL 72B Instruct | Qwen | ₽67.36/M | ₽84.20/M | ₽1 768 |
| Aion-3.0-Mini | AionLabs | ₽58.94/M | ₽118/M | ₽1 768 |
| glm 4.5v | Z.ai | ₽50.52/M | ₽152/M | ₽1 768 |
| Llama 3.1 Euryale 70B v2.2 | Meta | ₽71.57/M | ₽71.57/M | ₽1 789 |
| GLM-5 | glm 5 | ₽50.52/M | ₽162/M | ₽1 819 |
| morph · morph-v3-fast | morph | ₽67.36/M | ₽101/M | ₽1 852 |
| o3 Mini (batch) | OpenAI | ₽46.31/M | ₽185/M | ₽1 852 |
| o4 Mini (batch) | OpenAI | ₽46.31/M | ₽185/M | ₽1 852 |
| Claude Haiku 4.5 (batch) | Anthropic | ₽42.10/M | ₽210/M | ₽1 894 |
| Seed 2.1 Turbo | ByteDance Seed | ₽42.10/M | ₽210/M | ₽1 894 |
| Kimi K2 | kimi k2 | ₽47.99/M | ₽194/M | ₽1 928 |
| glm 4.5 | Z.ai | ₽50.52/M | ₽185/M | ₽1 937 |
| DeepSeek V4 Pro 0813 (batch) | DeepSeek | ₽55.57/M | ₽167/M | ₽1 945 |
| Relace Apply 3 | Relace | ₽71.57/M | ₽105/M | ₽1 958 |
| Aion-2.0 | AionLabs | ₽67.36/M | ₽135/M | ₽2 021 |
| Aion-RP 1.0 (8B) | AionLabs | ₽67.36/M | ₽135/M | ₽2 021 |
| gpt audio mini | OpenAI | ₽50.52/M | ₽202/M | ₽2 021 |
| Gemini 3 Flash | ₽42.10/M | ₽253/M | ₽2 105 | |
| GLM 5.2 (batch) | Z.ai | ₽58.94/M | ₽185/M | ₽2 105 |
| GLM 5.3 (batch) | Z.ai | ₽58.94/M | ₽185/M | ₽2 105 |
| Hermes 3 405B Instruct | Nous | ₽84.20/M | ₽84.20/M | ₽2 105 |
| Seed-2.0-Code | ByteDance Seed | ₽42.10/M | ₽253/M | ₽2 105 |
| Sonar | perplexity | ₽84.20/M | ₽84.20/M | ₽2 105 |
| morph · morph-v3-large | morph | ₽75.78/M | ₽160/M | ₽2 315 |
| Nemotron 3 Ultra | NVIDIA | ₽52.62/M | ₽263/M | ₽2 368 |
| qwen3.5 397b a17b | Qwen | ₽46.31/M | ₽295/M | ₽2 400 |
| Hy4 preview | Tencent | ₽70.22/M | ₽211/M | ₽2 457 |
| qwen3 coder plus | Qwen | ₽54.73/M | ₽274/M | ₽2 463 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽62.31/M | ₽249/M | ₽2 492 |
| Grok 4.3 (batch) | xAI | ₽84.20/M | ₽168/M | ₽2 526 |
| grok build 0.1 | xAI | ₽84.20/M | ₽168/M | ₽2 526 |
| kimi k2.7 code | MoonshotAI | ₽59.46/M | ₽270/M | ₽2 541 |
| GLM Latest | Z.ai | ₽75.09/M | ₽236/M | ₽2 682 |
| Nova Pro | nova pro | ₽67.36/M | ₽269/M | ₽2 694 |
| glm 5.3 | Z.ai | ₽76.62/M -35% ввод | ₽241/M | ₽2 736 |
| gemini 3.6 flash | ₽63.15/M | ₽316/M | ₽2 842 | |
| gemini 3.7 flash | ₽63.15/M | ₽316/M | ₽2 842 | |
| gemini 3.8 flash | ₽63.15/M | ₽316/M | ₽2 842 | |
| Gemini Flash Latest | ₽63.15/M | ₽316/M | ₽2 842 | |
| Mistral Medium 3.5 (batch) | Mistral | ₽63.15/M | ₽316/M | ₽2 842 |
| glm 5.1 | Z.ai | ₽81.33/M | ₽256/M | ₽2 905 |
| Hermes 4 405B | Nous | ₽84.20/M | ₽253/M | ₽2 947 |
| Relace Search | relace | ₽84.20/M | ₽253/M | ₽2 947 |
| Qwen3 Max | qwen3 max | ₽65.67/M | ₽328/M | ₽2 955 |
| Gemini 2.5 Pro (batch) | ₽52.62/M | ₽421/M | ₽3 157 | |
| Gemini 3.5 Flash (batch) | ₽63.15/M | ₽379/M | ₽3 157 | |
| gpt 5.4 mini | OpenAI | ₽63.15/M | ₽379/M | ₽3 157 |
| GPT Mini Latest | OpenAI | ₽63.15/M | ₽379/M | ₽3 157 |
| GPT-5 (batch) | OpenAI | ₽52.62/M | ₽421/M | ₽3 157 |
| GPT-5.1 (batch) | OpenAI | ₽52.62/M | ₽421/M | ₽3 157 |
| grok 4.20 | xAI | ₽105/M | ₽210/M | ₽3 157 |
| grok 4.20 multi agent | xAI | ₽105/M | ₽210/M | ₽3 157 |
| grok 4.3 | xAI | ₽105/M | ₽210/M | ₽3 157 |
| kimi k2.6 | MoonshotAI | ₽79.99/M | ₽337/M | ₽3 284 |
| Sakana Namazu | Sakana | ₽79.99/M | ₽337/M | ₽3 284 |
| GPT-4.1 (batch) | OpenAI | ₽84.20/M | ₽337/M | ₽3 368 |
| o3 (batch) | OpenAI | ₽84.20/M | ₽337/M | ₽3 368 |
| Inkling | Thinking Machines | ₽84.20/M | ₽341/M | ₽3 389 |
| Inkling (batch) | Thinking Machines | ₽84.20/M | ₽341/M | ₽3 389 |
| Palmyra X5 | Writer | ₽50.52/M | ₽505/M | ₽3 536 |
| glm 5 turbo | Z.ai | ₽101/M | ₽337/M | ₽3 705 |
| glm 5v turbo | Z.ai | ₽101/M | ₽337/M | ₽3 705 |
| O3 Mini | OpenAI | ₽92.62/M | ₽370/M | ₽3 705 |
| o3 mini high | OpenAI | ₽92.62/M | ₽370/M | ₽3 705 |
| O4 Mini | OpenAI | ₽92.62/M | ₽370/M | ₽3 705 |
| o4 mini high | OpenAI | ₽92.62/M | ₽370/M | ₽3 705 |
| Claude Haiku 4.5 | Anthropic | ₽84.20/M | ₽421/M | ₽3 789 |
| Claude Haiku Latest | Anthropic | ₽84.20/M | ₽421/M | ₽3 789 |
| Claude Sonnet 5 (batch) | Anthropic | ₽84.20/M | ₽421/M | ₽3 789 |
| GPT-5.6 Sol (batch) | OpenAI | ₽84.20/M | ₽421/M | ₽3 789 |
| GPT-5.6 Sol Pro (batch) | OpenAI | ₽84.20/M | ₽421/M | ₽3 789 |
| Gemini 3.1 Pro Preview (batch) | ₽84.20/M | ₽505/M | ₽4 210 | |
| GPT-4o (batch) | OpenAI | ₽105/M | ₽421/M | ₽4 210 |
| GPT-5.6 Terra (batch) | OpenAI | ₽84.20/M | ₽505/M | ₽4 210 |
| GPT-5.6 Terra Pro (batch) | OpenAI | ₽84.20/M | ₽505/M | ₽4 210 |
| Qwen3.6 Max | qwen3.6 max | ₽86.47/M | ₽519/M | ₽4 324 |
| qwen3.7 max | Qwen | ₽124/M | ₽373/M | ₽4 347 |
| GPT-5.2 (batch) | OpenAI | ₽73.67/M | ₽589/M | ₽4 420 |
| gpt 5 image mini | OpenAI | ₽210/M | ₽168/M | ₽5 052 |
| GPT-5.4 (batch) | OpenAI | ₽105/M | ₽631/M | ₽5 262 |
| Claude Sonnet 4.5 (batch) | Anthropic | ₽126/M | ₽631/M | ₽5 683 |
| Claude Sonnet 4.6 (batch) | Anthropic | ₽126/M | ₽631/M | ₽5 683 |
| mistralai · mistral-medium-3-5 | Mistral | ₽126/M | ₽631/M | ₽5 683 |
| Fugu Max | Sakana | ₽168/M | ₽505/M | ₽5 894 |
| grok 4.5 | xAI | ₽168/M | ₽505/M | ₽5 894 |
| Grok 4.6 | xAI | ₽168/M | ₽505/M | ₽5 894 |
| Grok Latest | xAI | ₽168/M | ₽505/M | ₽5 894 |
| Mistral Large 2407 | Mistral | ₽168/M | ₽505/M | ₽5 894 |
| mistralai · mistral-large | Mistral | ₽168/M | ₽505/M | ₽5 894 |
| mistralai · mixtral-8x22b-instruct | Mistral | ₽168/M | ₽505/M | ₽5 894 |
| Qwen3.8 2.4T A95B | Qwen | ₽168/M | ₽505/M | ₽5 894 |
| Qwen3.8 2.4T A95B (batch) | Qwen | ₽168/M | ₽505/M | ₽5 894 |
| qwen3.8 max | qwen3.8 max | ₽168/M | ₽505/M | ₽5 894 |
| Gemini 2.5 Pro | ₽105/M | ₽842/M | ₽6 315 | |
| gemini 3.5 flash | ₽126/M | ₽758/M | ₽6 315 | |
| gpt 5.1 | OpenAI | ₽105/M | ₽842/M | ₽6 315 |
| GPT-5 | OpenAI | ₽105/M | ₽842/M | ₽6 315 |
| GPT-5.1-Codex | OpenAI | ₽105/M | ₽842/M | ₽6 315 |
| GPT-5.1-Codex-Max | OpenAI | ₽105/M | ₽842/M | ₽6 315 |
| Magnum v4 72B | anthracite org | ₽210/M | ₽421/M | ₽6 315 |
| gpt 3.5 turbo 16k | OpenAI | ₽253/M | ₽337/M | ₽6 736 |
| gpt 4.1 | OpenAI | ₽168/M | ₽674/M | ₽6 736 |
| O3 | OpenAI | ₽168/M | ₽674/M | ₽6 736 |
| sonar deep research | perplexity | ₽168/M | ₽674/M | ₽6 736 |
| sonar reasoning pro | perplexity | ₽168/M | ₽674/M | ₽6 736 |
| Pareto | unbiased | ₽210/M | ₽631/M | ₽7 367 |
| Aion-3.0 | AionLabs | ₽253/M | ₽505/M | ₽7 578 |
| claude sonnet 5 | Anthropic | ₽168/M | ₽842/M | ₽7 578 |
| Claude Sonnet Latest | Anthropic | ₽168/M | ₽842/M | ₽7 578 |
| gpt 5.6 sol | OpenAI | ₽168/M | ₽842/M | ₽7 578 |
| gpt 5.6 sol pro | OpenAI | ₽168/M | ₽842/M | ₽7 578 |
| GPT Sol Latest | OpenAI | ₽168/M | ₽842/M | ₽7 578 |
| kimi k3 | MoonshotAI | ₽164/M -35% ввод | ₽919/M | ₽7 881 |
| Kimi Latest | MoonshotAI | ₽164/M | ₽919/M | ₽7 881 |
| Command A | Cohere | ₽210/M | ₽842/M | ₽8 420 |
| Command R Plus | command r plus | ₽210/M | ₽842/M | ₽8 420 |
| Gemini 3.1 Pro | ₽168/M | ₽1 010/M | ₽8 420 | |
| gemini 3.1 pro preview customtools | ₽168/M | ₽1 010/M | ₽8 420 | |
| Gemini Pro Latest | ₽168/M | ₽1 010/M | ₽8 420 | |
| gpt 5.6 terra | OpenAI | ₽168/M | ₽1 010/M | ₽8 420 |
| gpt 5.6 terra pro | OpenAI | ₽168/M | ₽1 010/M | ₽8 420 |
| gpt audio | OpenAI | ₽210/M | ₽842/M | ₽8 420 |
| GPT Terra Latest | OpenAI | ₽168/M | ₽1 010/M | ₽8 420 |
| GPT-4o | OpenAI | ₽210/M | ₽842/M | ₽8 420 |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽168/M | ₽1 010/M | ₽8 420 | |
| gpt 5.2 | OpenAI | ₽147/M | ₽1 179/M | ₽8 841 |
| gpt 5.3 codex | OpenAI | ₽147/M | ₽1 179/M | ₽8 841 |
| GPT-5.2 Chat | OpenAI | ₽147/M | ₽1 179/M | ₽8 841 |
| GPT-5.2-Codex | OpenAI | ₽147/M | ₽1 179/M | ₽8 841 |
| Claude Opus 4.5 (batch) | Anthropic | ₽210/M | ₽1 052/M | ₽9 472 |
| Claude Opus 4.6 (batch) | Anthropic | ₽210/M | ₽1 052/M | ₽9 472 |
| Claude Opus 4.7 (batch) | Anthropic | ₽210/M | ₽1 052/M | ₽9 472 |
| Claude Opus 4.8 (batch) | Anthropic | ₽210/M | ₽1 052/M | ₽9 472 |
| Claude Opus 5 (batch) | Anthropic | ₽210/M | ₽1 052/M | ₽9 472 |
| Nova Premier 1.0 | Amazon | ₽210/M | ₽1 052/M | ₽9 472 |
| gpt 5.4 | OpenAI | ₽210/M | ₽1 263/M | ₽10 525 |
| GPT-5.5 (batch) | OpenAI | ₽210/M | ₽1 263/M | ₽10 525 |
| Claude Sonnet 4 | Anthropic | ₽253/M | ₽1 263/M | ₽11 367 |
| Claude Sonnet 4.5 | Anthropic | ₽253/M | ₽1 263/M | ₽11 367 |
| Claude Sonnet 4.6 | Anthropic | ₽253/M | ₽1 263/M | ₽11 367 |
| Kimi K3 (batch) | MoonshotAI | ₽253/M | ₽1 263/M | ₽11 367 |
| sonar pro | perplexity | ₽253/M | ₽1 263/M | ₽11 367 |
| GPT-4 Turbo (batch) | OpenAI | ₽421/M | ₽1 263/M | ₽14 735 |
| Claude Fable 5 (batch) | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| Claude Fable 5.1 (batch) | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| Claude Opus 4.5 | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| Claude Opus 4.6 | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| Claude Opus 4.7 | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| claude opus 4.8 | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| claude opus 5 | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| Claude Opus Latest | Anthropic | ₽421/M | ₽2 105/M | ₽18 944 |
| GPT-6 Astra (batch) | OpenAI | ₽421/M | ₽2 105/M | ₽18 944 |
| GPT-6 Astra Pro (batch) | OpenAI | ₽421/M | ₽2 105/M | ₽18 944 |
| GPT-5.4 Image 2 | OpenAI | ₽674/M | ₽1 263/M | ₽19 786 |
| Fugu Ultra | Sakana | ₽421/M | ₽2 526/M | ₽21 049 |
| gpt 5 image | OpenAI | ₽842/M | ₽842/M | ₽21 049 |
| gpt 5.5 | OpenAI | ₽421/M | ₽2 526/M | ₽21 049 |
| GPT Chat Latest | OpenAI | ₽421/M | ₽2 526/M | ₽21 049 |
| Claude Opus 4.1 (batch) | Anthropic | ₽631/M | ₽3 157/M | ₽28 417 |
| gpt 4 turbo | OpenAI | ₽842/M | ₽2 526/M | ₽29 469 |
| claude fable 5 | Anthropic | ₽842/M | ₽4 210/M | ₽37 889 |
| claude fable 5.1 | Anthropic | ₽842/M | ₽4 210/M | ₽37 889 |
| Claude Fable Latest | Anthropic | ₽842/M | ₽4 210/M | ₽37 889 |
| GPT Astra Latest | OpenAI | ₽842/M | ₽4 210/M | ₽37 889 |
| GPT-5 Pro (batch) | OpenAI | ₽631/M | ₽5 052/M | ₽37 889 |
| GPT-6 Astra | OpenAI | ₽842/M | ₽4 210/M | ₽37 889 |
| GPT-6 Astra Pro | OpenAI | ₽842/M | ₽4 210/M | ₽37 889 |
| O1 | OpenAI | ₽1 263/M | ₽5 052/M | ₽50 519 |
| GPT-5.2 Pro (batch) | OpenAI | ₽884/M | ₽7 073/M | ₽53 044 |
| Claude Opus 4 | Anthropic | ₽1 263/M | ₽6 315/M | ₽56 833 |
| GPT-5.4 Pro (batch) | OpenAI | ₽1 263/M | ₽7 578/M | ₽63 148 |
| GPT-5.5 Pro (batch) | OpenAI | ₽1 263/M | ₽7 578/M | ₽63 148 |
| o3 pro | OpenAI | ₽1 684/M | ₽6 736/M | ₽67 358 |
| gpt 4 | OpenAI | ₽2 526/M | ₽5 052/M | ₽75 778 |
| gpt 5 pro | OpenAI | ₽1 263/M | ₽10 104/M | ₽75 778 |
| gpt 5.2 pro | OpenAI | ₽1 768/M | ₽14 145/M | ₽106 089 |
| gpt 5.4 pro | OpenAI | ₽2 526/M | ₽15 156/M | ₽126 296 |
| gpt 5.5 pro | OpenAI | ₽2 526/M | ₽15 156/M | ₽126 296 |
| o1 pro | OpenAI | ₽12 630/M | ₽50 519/M | ₽505 185 |
О провайдере
Как сравнивать на AI-APISHKA
Сравнивайте $/1M с OpenRouter, SprutDock и Hubris на тех же openai/… и google/… slugs.
Частые вопросы
- Какой адрес API?
- https://api.vega.chat/api/v1. Документация: https://api.vega.chat/docs
- Нужен ли VPN?
- Нет — сервис рассчитан на доступ из России.
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Цена не сходится или нашли ошибку?
API VEGA предлагает 371 моделей AI API. Средняя цена — ₽302/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽1.43/M (Granite 4.0 Micro).
Сравните цены на mistralai · mistral-nemo , Ling 3.0 Flash , Granite 4.0 Micro , Llama 3 8B Lunaris и gpt oss 20b у других провайдеров или в каталоге агрегаторов . Данные обновлены 18.09.2026.