OpenRouter-каталог в рублях через один OpenAI-compatible ключ
- Моделей
- 372
- Средняя цена
- ₽419/M
- Регион
- Россия · сайт на русский
- Оплата
- Рубли (₽), Карты РФ
- Биллинг
- за токены
- API
- OpenAI-compatible
Каталог ориентирован на OpenRouter-нейминг моделей
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
Токенов/мес
In/Out
Валюта
Токенов/мес
In/Out
Валюта
25M токенов/мес · ввод 80% / вывод 20%Цены в ₽ · 1 USD = 83.2454 ₽ · 1 CNY = 12.4028 ₽ · 02.10.2026
372 моделей
Текст и чат
оплата за токены · 371
▼
Текст и чат
оплата за токены · 371
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.55/M | ₽0.55/M | ₽11 |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.68/M | ₽0.68/M | ₽14 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.68/M | ₽0.68/M | ₽14 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.68/M | ₽0.68/M | ₽14 |
| bge-base-en-v1.5 | baai | ₽0.68/M | ₽0.68/M | ₽14 |
| E5-Base-v2 | Intfloat | ₽0.68/M | ₽0.68/M | ₽14 |
| GTE-Base | Thenlper | ₽0.68/M | ₽0.68/M | ₽14 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.68/M | ₽0.68/M | ₽14 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.68/M | ₽0.68/M | ₽14 |
| Bge M3 | baai | ₽1.36/M | ₽1.36/M | ₽27 |
| bge-large-en-v1.5 | baai | ₽1.36/M | ₽1.36/M | ₽27 |
| E5-Large-v2 | Intfloat | ₽1.36/M | ₽1.36/M | ₽27 |
| GTE-Large | Thenlper | ₽1.36/M | ₽1.36/M | ₽27 |
| Multilingual-E5-Large | Intfloat | ₽1.36/M | ₽1.36/M | ₽27 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽1.36/M | ₽1.36/M | ₽27 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽2.71/M | ₽2.71/M | ₽54 |
| text embedding 3 small | OpenAI | ₽2.71/M | ₽2.71/M | ₽54 |
| voyage-4-lite | VoyageAI by MongoDB | ₽2.71/M | ₽2.71/M | ₽54 |
| Mistral Nemo | Mistral | ₽2.58/M | ₽4.07/M | ₽72 |
| pplx embed v1 4b | pplx embed v1 4b | ₽4.07/M | ₽4.07/M | ₽81 |
| Ling 3.0 Flash VL | inclusionAI | ₽2.85/M | ₽8.34/M | ₽99 |
| gpt oss 20b | OpenAI | ₽2.44/M | ₽12.19/M | ₽110 |
| Granite 4.0 Micro | IBM | ₽2.31/M | ₽15.17/M | ₽122 |
| Llama 3 8B Lunaris | Meta | ₽5.42/M | ₽6.77/M | ₽142 |
| voyage-4 | VoyageAI by MongoDB | ₽8.13/M | ₽8.13/M | ₽163 |
| qwen3.7 flash | Qwen | ₽4.07/M | ₽17.60/M | ₽169 |
| deepseek v4 flash | DeepSeek | ₽5.67/M -47% ввод | ₽11.34/M | ₽170 |
| Schematron V2 Turbo | Inference.net | ₽4.07/M | ₽20.31/M | ₽183 |
| llama 3.1 8b | Meta | ₽6.77/M | ₽10.83/M | ₽190 |
| Mistral Small 3 | Mistral | ₽6.77/M | ₽10.83/M | ₽190 |
| Amazon Nova Micro | nova micro | ₽4.74/M | ₽18.96/M | ₽190 |
| Gemma 3 4B | ₽6.77/M | ₽13.54/M | ₽203 | |
| Command R7B (12-2024) | Cohere | ₽5.08/M | ₽20.31/M | ₽203 |
| Llama 3.2 1B Preview | Meta | ₽3.66/M | ₽27.21/M | ₽209 |
| Mercury 2.5 | Inception | ₽5.42/M | ₽20.31/M | ₽210 |
| gpt oss 120b | OpenAI | ₽5.01/M | ₽23.02/M | ₽215 |
| gemma 3 12b it | ₽6.77/M | ₽20.31/M | ₽237 | |
| Hy-MT2-1.8B | Tencent | ₽5.96/M | ₽23.96/M | ₽239 |
| Laguna XS 2.1 | Poolside | ₽8.13/M | ₽16.25/M | ₽244 |
| GLM Flash Latest | Z.ai | ₽2.71/M | ₽40.61/M | ₽257 |
| qwen3 30b a3b instruct 2507 | Qwen | ₽6.52/M | ₽26.14/M | ₽261 |
| Mistral Embed 2312 | Mistral | ₽13.54/M | ₽13.54/M | ₽271 |
| Nemotron 3 Nano 30B A3B | NVIDIA | ₽6.77/M | ₽27.08/M | ₽271 |
| Solar Mini 4 | Upstage | ₽6.77/M | ₽27.08/M | ₽271 |
| Text Embedding ADA | text embedding ada | ₽13.54/M | ₽13.54/M | ₽271 |
| Nemotron 3.5 Lightning | NVIDIA | ₽8.06/M | ₽23.02/M | ₽276 |
| Phi 4 | Microsoft | ₽9.48/M | ₽18.96/M | ₽284 |
| Ling 3.0 Flash Fin | inclusionAI | ₽8.13/M | ₽24.37/M | ₽284 |
| MythoMax 13B | gryphe | ₽10.83/M | ₽14.89/M | ₽291 |
| Schematron V2 Small | Inference.net | ₽6.77/M | ₽31.14/M | ₽291 |
| GLM 5.3 Flash (batch) | Z.ai | ₽8.13/M | ₽27.08/M | ₽298 |
| GPT-6 Luna (batch) | OpenAI | ₽6.77/M | ₽33.85/M | ₽305 |
| GPT-6 Luna Pro (batch) | OpenAI | ₽6.77/M | ₽33.85/M | ₽305 |
| voyage-4-large | VoyageAI by MongoDB | ₽16.25/M | ₽16.25/M | ₽325 |
| voyage-code-4 | VoyageAI by MongoDB | ₽16.25/M | ₽16.25/M | ₽325 |
| voyage-multimodal-3.5 | VoyageAI by MongoDB | ₽16.25/M | ₽16.25/M | ₽325 |
| Nova Lite | nova lite | ₽8.13/M | ₽32.49/M | ₽325 |
| Granite 4.2 8B | IBM | ₽8.13/M | ₽33.85/M | ₽332 |
| Ministral 3 3B 2512 | Mistral | ₽13.54/M | ₽13.54/M | ₽338 |
| Reka Edge | rekaai | ₽13.54/M | ₽13.54/M | ₽338 |
| Qwen3.5 Flash | alibaba | ₽8.80/M | ₽35.20/M | ₽352 |
| text embedding 3 large | OpenAI | ₽17.60/M | ₽17.60/M | ₽352 |
| Llama 3.2 3B | Meta | ₽6.77/M | ₽44.67/M | ₽359 |
| Laguna S 2.1 | Poolside | ₽12.19/M | ₽24.37/M | ₽366 |
| qwen3.5 9b | Qwen | ₽13.54/M | ₽20.31/M | ₽372 |
| Qwen 3 Coder 30B A3B Instruct | Qwen | ₽9.48/M | ₽37.91/M | ₽379 |
| gemma 4 26b a4b it | ₽10.36/M | ₽34.52/M | ₽380 | |
| Hy-MT2-30B-A3B | Tencent | ₽10.02/M | ₽39.94/M | ₽400 |
| Hy-MT2-7B | Tencent | ₽10.02/M | ₽39.94/M | ₽400 |
| GPT-5 Nano | OpenAI | ₽6.77/M | ₽54.15/M | ₽406 |
| Qwen3 32B | Qwen | ₽10.83/M | ₽37.91/M | ₽406 |
| Muse Spark 1.2 Contributor | Meta | ₽13.54/M | ₽27.08/M | ₽406 |
| Muse Spark 1.3 Contributor | Meta | ₽13.54/M | ₽27.08/M | ₽406 |
| Qwen2.5 7B Instruct | Qwen | ₽13.54/M | ₽27.08/M | ₽406 |
| Reka Flash 3 | rekaai | ₽13.54/M | ₽27.08/M | ₽406 |
| UI-TARS 7B | ByteDance | ₽13.54/M | ₽27.08/M | ₽406 |
| Codestral Embed 2505 | Mistral | ₽20.31/M | ₽20.31/M | ₽406 |
| gemini embedding exp | ₽20.31/M | ₽20.31/M | ₽406 | |
| gpt-oss-safeguard-20b | OpenAI | ₽10.16/M | ₽40.61/M | ₽406 |
| Seed 1.6 Flash | ByteDance Seed | ₽10.16/M | ₽40.61/M | ₽406 |
| deepseek v4.1 flash | DeepSeek | ₽4.07/M | ₽67.69/M | ₽420 |
| Mistral Small 3.2 24B | Mistral | ₽12.70/M | ₽33.85/M | ₽423 |
| glm 4.7 flash | Z.ai | ₽8.19/M | ₽54.15/M | ₽435 |
| Hy3 | Tencent | ₽11.17/M | ₽44.67/M | ₽447 |
| Llama 4 Scout | Meta | ₽13.54/M | ₽40.61/M | ₽474 |
| Step 3.5 Flash | StepFun | ₽13.54/M | ₽40.61/M | ₽474 |
| Voxtral Small 24B 2507 | Mistral | ₽13.54/M | ₽40.61/M | ₽474 |
| qwen3 235b a22b 2507 | Qwen | ₽11.85/M | ₽47.38/M | ₽474 |
| gemma 4 31b it | ₽12.19/M | ₽46.03/M | ₽474 | |
| DeepSeek Flash Latest | DeepSeek | ₽3.58/M | ₽81.22/M | ₽478 |
| Llama 3.3 70B | Meta | ₽13.54/M | ₽43.32/M | ₽487 |
| Solar Pro 4 | Upstage | ₽12.19/M | ₽48.73/M | ₽487 |
| Qwen3 14B | Qwen | ₽16.25/M | ₽32.49/M | ₽487 |
| Ministral 3 8B 2512 | Mistral | ₽20.31/M | ₽20.31/M | ₽508 |
| gemma 3 27b it | ₽10.83/M | ₽60.92/M | ₽521 | |
| Nemotron 3 Super | NVIDIA | ₽10.83/M | ₽60.92/M | ₽521 |
| DeepSeek V4.1 Flash (batch) | DeepSeek | ₽15.17/M | ₽45.49/M | ₽531 |
| gemini 2.5 flash lite | ₽13.54/M | ₽54.15/M | ₽542 | |
| Gpt 4.1 Nano | OpenAI | ₽13.54/M | ₽54.15/M | ₽542 |
| Seed-2.0-Mini | ByteDance Seed | ₽13.54/M | ₽54.15/M | ₽542 |
| Gemini Embedding 2 | ₽27.08/M | ₽27.08/M | ₽542 | |
| Ternary Bonsai 2 27B | PrismML | ₽10.16/M | ₽67.69/M | ₽542 |
| qwen3 vl 32b instruct | Qwen | ₽14.08/M | ₽56.31/M | ₽563 |
| MiMo-V2.5 | Xiaomi | ₽18.96/M | ₽37.91/M | ₽569 |
| MiMo-V2.6-Flash | Xiaomi | ₽18.96/M | ₽37.91/M | ₽569 |
| Gpt 6 Luna | OpenAI | ₽13.54/M | ₽67.69/M | ₽609 |
| gpt 6 luna pro | OpenAI | ₽13.54/M | ₽67.69/M | ₽609 |
| GPT Luna Latest | OpenAI | ₽13.54/M | ₽67.69/M | ₽609 |
| Llama Guard 4 12B | Meta | ₽24.37/M | ₽24.37/M | ₽609 |
| Qwen3 8B | Qwen | ₽15.84/M | ₽61.59/M | ₽625 |
| qwen3 vl 8b instruct | Qwen | ₽15.84/M | ₽61.59/M | ₽625 |
| Qwen3 30B A3B | Qwen | ₽16.25/M | ₽67.69/M | ₽663 |
| Ministral 3 14B 2512 | Mistral | ₽27.08/M | ₽27.08/M | ₽677 |
| Nemotron 3.5 Content Safety | NVIDIA | ₽27.08/M | ₽27.08/M | ₽677 |
| qwen3.8 flash | Qwen | ₽20.31/M | ₽63.62/M | ₽724 |
| Qwen3.8 Omni Flash | Qwen | ₽20.31/M | ₽63.62/M | ₽724 |
| Glm 5.3 Flash | glm 5.3 flash | ₽20.31/M | ₽67.69/M | ₽745 |
| hunyuan a13b | hunyuan a13b | ₽18.96/M | ₽77.16/M | ₽765 |
| Command R | command r | ₽20.31/M | ₽81.22/M | ₽812 |
| GPT-4o Mini | OpenAI | ₽20.31/M | ₽81.22/M | ₽812 |
| Mistral Small 4 | Mistral | ₽20.31/M | ₽81.22/M | ₽812 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽20.31/M | ₽81.22/M | ₽812 |
| Solar Pro 3 | Upstage | ₽20.31/M | ₽81.22/M | ₽812 |
| Deepseek V4 Pro | DeepSeek | ₽28.27/M -74% ввод | ₽56.53/M | ₽848 |
| qwen3 coder next | Qwen | ₽16.25/M | ₽108/M | ₽866 |
| DeepSeek V4 Flash Latest | DeepSeek | ₽1.47/M | ₽173/M | ₽896 |
| GLM 4.5 Air | Z.ai | ₽17.60/M | ₽115/M | ₽927 |
| Saba | Mistral | ₽27.08/M | ₽81.22/M | ₽948 |
| Llama 4 Maverick | Meta | ₽25.39/M | ₽88.33/M | ₽949 |
| deepseek v3.2 | DeepSeek | ₽36.55/M | ₽55.50/M | ₽1 009 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽13.54/M | ₽149/M | ₽1 015 |
| DeepSeek V4 Flash Vision Exp | DeepSeek | ₽29.19/M | ₽87.56/M | ₽1 022 |
| qwen3.6 35b a3b | Qwen | ₽20.31/M | ₽135/M | ₽1 083 |
| minimax m2.7 | MiniMax | ₽28.43/M | ₽114/M | ₽1 137 |
| Cydonia 24B V4.1 | TheDrummer | ₽40.61/M | ₽67.69/M | ₽1 151 |
| Uncensored | Venice | ₽27.08/M | ₽122/M | ₽1 151 |
| Mercury 2 | Inception | ₽33.85/M | ₽102/M | ₽1 185 |
| Qwen3 Coder Flash | Qwen | ₽26.40/M | ₽132/M | ₽1 188 |
| Trinity Large Thinking | Arcee AI | ₽33.85/M | ₽108/M | ₽1 218 |
| Qwen Plus | Qwen | ₽35.20/M | ₽106/M | ₽1 232 |
| qwen 2.5 72b instruct | Qwen | ₽48.73/M | ₽54.15/M | ₽1 245 |
| qwen3.6 flash | Qwen | ₽25.39/M | ₽152/M | ₽1 269 |
| MiniMax-01 | MiniMax | ₽27.08/M | ₽149/M | ₽1 286 |
| Qwen3.5-35B-A3B | Qwen | ₽22.00/M | ₽176/M | ₽1 320 |
| Step 3.7 Flash | StepFun | ₽27.08/M | ₽156/M | ₽1 320 |
| deepseek chat v3.1 | DeepSeek | ₽33.85/M | ₽129/M | ₽1 320 |
| Mistral Small 3.1 24B | Mistral | ₽47.52/M | ₽75.13/M | ₽1 326 |
| llama 3.1 70b | Meta | ₽54.15/M | ₽54.15/M | ₽1 354 |
| UnslopNemo 12B | TheDrummer | ₽54.15/M | ₽54.15/M | ₽1 354 |
| Gpt 5.6 Luna | OpenAI | ₽27.08/M | ₽162/M | ₽1 354 |
| gpt 5.6 luna pro | OpenAI | ₽27.08/M | ₽162/M | ₽1 354 |
| ReMM SLERP 13B | undi95 | ₽47.38/M | ₽87.99/M | ₽1 388 |
| Gpt 5.4 Nano | OpenAI | ₽27.08/M | ₽169/M | ₽1 388 |
| DeepSeek Chat (V3) | DeepSeek | ₽34.85/M | ₽139/M | ₽1 393 |
| Codestral 2508 | Mistral | ₽40.61/M | ₽122/M | ₽1 421 |
| glm 4.6v | Z.ai | ₽40.61/M | ₽122/M | ₽1 421 |
| Perceptron Mk1 | Perceptron | ₽20.31/M | ₽203/M | ₽1 421 |
| Perceptron Mk1.5 | Perceptron | ₽20.31/M | ₽203/M | ₽1 421 |
| MiniMax M2.5 | MiniMax | ₽36.55/M | ₽146/M | ₽1 462 |
| DeepSeek V3.1 Terminus | DeepSeek | ₽40.61/M | ₽135/M | ₽1 489 |
| qwen3 coder | Qwen | ₽40.61/M | ₽135/M | ₽1 489 |
| Qwen3.5-27B | Qwen | ₽26.40/M | ₽211/M | ₽1 584 |
| LongCat 2.0 | Meituan | ₽40.61/M | ₽162/M | ₽1 624 |
| MiniMax M2 | MiniMax | ₽40.61/M | ₽162/M | ₽1 624 |
| MiniMax M2-her | MiniMax | ₽40.61/M | ₽162/M | ₽1 624 |
| MiniMax M2.1 | MiniMax | ₽40.61/M | ₽162/M | ₽1 624 |
| minimax m3 | MiniMax | ₽40.61/M | ₽162/M | ₽1 624 |
| Gemini 3.1 Flash Lite | ₽33.85/M | ₽203/M | ₽1 692 | |
| gemini 3.1 flash lite image | ₽33.85/M | ₽203/M | ₽1 692 | |
| qwen3.7 plus | Qwen | ₽43.32/M | ₽173/M | ₽1 733 |
| qwen3.5 plus | qwen3.5 plus | ₽35.20/M | ₽211/M | ₽1 760 |
| MiMo-V2.5-Pro | Xiaomi | ₽58.89/M | ₽118/M | ₽1 767 |
| MiMo-V2.6-Pro | Xiaomi | ₽58.89/M | ₽118/M | ₽1 767 |
| Command A+ | Cohere | ₽40.61/M | ₽203/M | ₽1 827 |
| Glm 5.3 Flashx | glm 5.3 flashx | ₽50.09/M | ₽169/M | ₽1 848 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽28.43/M | ₽257/M | ₽1 855 |
| Muse Glimmer 30B | Meta | ₽47.38/M | ₽203/M | ₽1 963 |
| ERNIE 4.5 VL 424B A47B | Baidu | ₽56.86/M | ₽169/M | ₽1 983 |
| Skyfall 36B V2 | TheDrummer | ₽74.45/M | ₽108/M | ₽2 030 |
| Inkling Small | Thinking Machines | ₽60.92/M | ₽162/M | ₽2 031 |
| GPT-5 Mini | OpenAI | ₽33.85/M | ₽271/M | ₽2 031 |
| GPT-5.1-Codex-Mini | OpenAI | ₽33.85/M | ₽271/M | ₽2 031 |
| Seed 1.6 | ByteDance Seed | ₽33.85/M | ₽271/M | ₽2 031 |
| Seed-2.0-Lite | ByteDance Seed | ₽33.85/M | ₽271/M | ₽2 031 |
| GLM Latest | Z.ai | ₽14.35/M | ₽359/M -34% вывод | ₽2 083 |
| WizardLM-2 8x22B | microsoft | ₽83.93/M | ₽83.93/M | ₽2 098 |
| Qwen3.5-122B-A10B | Qwen | ₽35.20/M | ₽282/M | ₽2 112 |
| Gpt 4.1 Mini | OpenAI | ₽54.15/M | ₽217/M | ₽2 166 |
| qwen3 235b a22b | Qwen | ₽31.14/M | ₽311/M | ₽2 179 |
| Gemma 2 27B | ₽87.99/M | ₽87.99/M | ₽2 200 | |
| Qwen3.6 Plus | Qwen | ₽44.00/M | ₽264/M | ₽2 200 |
| Llama 3.3 Euryale 70B | Meta | ₽87.99/M | ₽102/M | ₽2 267 |
| Gemini 3.7 Flash (batch) | ₽50.77/M | ₽254/M | ₽2 284 | |
| Gemini 3.8 Flash (batch) | ₽50.77/M | ₽254/M | ₽2 284 | |
| GLM 4.6 | Z.ai | ₽58.21/M | ₽237/M | ₽2 349 |
| Hermes 3 70B Instruct | Nous | ₽94.76/M | ₽94.76/M | ₽2 369 |
| gpt 3.5 turbo | OpenAI | ₽67.69/M | ₽203/M | ₽2 369 |
| Kimi K2.6 | kimi k2.6 | ₽58.77/M | ₽247/M -47% вывод | ₽2 413 |
| Mistral Medium 3 | Mistral | ₽54.15/M | ₽271/M | ₽2 437 |
| Mistral Medium 3.1 | Mistral | ₽54.15/M | ₽271/M | ₽2 437 |
| Qwen2.5 Coder 32B Instruct | Qwen | ₽89.34/M | ₽135/M | ₽2 464 |
| Gemini 2.5 Flash | ₽40.61/M | ₽338/M | ₽2 504 | |
| gemini 2.5 flash image | ₽40.61/M | ₽338/M | ₽2 504 | |
| Gemini 3.5 Flash Lite | ₽40.61/M | ₽338/M | ₽2 504 | |
| Nova 2 Lite | amazon | ₽40.61/M | ₽338/M | ₽2 504 |
| GLM 5.3 (batch) | Z.ai | ₽60.92/M | ₽271/M | ₽2 572 |
| Kimi K2.5 | MoonshotAI | ₽60.92/M | ₽305/M | ₽2 741 |
| DeepSeek Pro Latest | DeepSeek | ₽19.38/M | ₽474/M | ₽2 756 |
| deepseek r1 | DeepSeek | ₽67.69/M | ₽291/M | ₽2 809 |
| GLM 4.5V | Z.ai | ₽81.22/M | ₽244/M | ₽2 843 |
| Qwen2.5 VL 72B Instruct | Qwen | ₽108/M | ₽135/M | ₽2 843 |
| Aion 3.5 Mini | AionLabs | ₽94.76/M | ₽190/M | ₽2 843 |
| Aion-3.0-Mini | AionLabs | ₽94.76/M | ₽190/M | ₽2 843 |
| Llama 3.1 Euryale 70B v2.2 | Meta | ₽115/M | ₽115/M | ₽2 877 |
| Glm 5.3 | glm 5.3 | ₽30.04/M -84% ввод | ₽459/M | ₽2 895 |
| GLM-5 | glm 5 | ₽81.22/M | ₽260/M | ₽2 924 |
| MiniMax M1 | MiniMax | ₽74.45/M | ₽298/M | ₽2 978 |
| Morph V3 Fast | Morph | ₽108/M | ₽162/M | ₽2 978 |
| qwen3.6 27b | Qwen | ₽43.32/M | ₽433/M | ₽3 032 |
| Seed 2.1 Turbo | ByteDance Seed | ₽67.69/M | ₽338/M | ₽3 046 |
| Kimi K2 0711 | MoonshotAI | ₽77.16/M | ₽311/M | ₽3 100 |
| GLM 4.5 | Z.ai | ₽81.22/M | ₽298/M | ₽3 113 |
| Glm 4.7 | glm 4.7 | ₽81.22/M | ₽298/M | ₽3 113 |
| Relace Apply 3 | Relace | ₽115/M | ₽169/M | ₽3 147 |
| qwen3.8 27b | Qwen | ₽56.86/M | ₽406/M | ₽3 168 |
| Aion-2.0 | AionLabs | ₽108/M | ₽217/M | ₽3 249 |
| Aion-RP 1.0 (8B) | AionLabs | ₽108/M | ₽217/M | ₽3 249 |
| gpt audio mini | OpenAI | ₽81.22/M | ₽325/M | ₽3 249 |
| Nemotron 3 Ultra | NVIDIA | ₽81.22/M | ₽325/M | ₽3 249 |
| gemini 3 flash | ₽67.69/M | ₽406/M | ₽3 384 | |
| Seed-2.0-Code | ByteDance Seed | ₽67.69/M | ₽406/M | ₽3 384 |
| Hermes 3 405B Instruct | Nous | ₽135/M | ₽135/M | ₽3 384 |
| Sonar | perplexity | ₽135/M | ₽135/M | ₽3 384 |
| Hy4 preview | Tencent | ₽102/M | ₽305/M | ₽3 556 |
| Morph V3 Large | Morph | ₽122/M | ₽257/M | ₽3 723 |
| Glm 5.2 | glm 5.2 | ₽55.50/M | ₽540/M | ₽3 810 |
| qwen3.5 397b a17b | Qwen | ₽74.45/M | ₽474/M | ₽3 858 |
| qwen3 coder plus | Qwen | ₽87.99/M | ₽440/M | ₽3 959 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽100/M | ₽401/M | ₽4 007 |
| Grok 4.3 (batch) | xAI | ₽135/M | ₽271/M | ₽4 061 |
| Grok Build 0.1 | xAI | ₽135/M | ₽271/M | ₽4 061 |
| Kimi K2.7 Code | kimi k2.7 code | ₽90.86/M | ₽453/M | ₽4 084 |
| Nova Pro | nova pro | ₽108/M | ₽433/M | ₽4 332 |
| Pareto 26.10 Preview | unbiased | ₽108/M | ₽433/M | ₽4 332 |
| Gemini 3.6 Flash | ₽102/M | ₽508/M | ₽4 569 | |
| Gemini 3.7 Flash | ₽102/M | ₽508/M | ₽4 569 | |
| Gemini 3.8 Flash | ₽102/M | ₽508/M | ₽4 569 | |
| Gemini Flash Latest | ₽102/M | ₽508/M | ₽4 569 | |
| Mistral Medium 3.5 (batch) | Mistral | ₽102/M | ₽508/M | ₽4 569 |
| Glm 5.1 | glm 5.1 | ₽131/M | ₽410/M | ₽4 663 |
| Hermes 4 405B | Nous | ₽135/M | ₽406/M | ₽4 738 |
| Relace Search | relace | ₽135/M | ₽406/M | ₽4 738 |
| Qwen3 Max | qwen3 max | ₽106/M | ₽528/M | ₽4 751 |
| Gpt 5.4 Mini | OpenAI | ₽102/M | ₽609/M | ₽5 076 |
| GPT Mini Latest | OpenAI | ₽102/M | ₽609/M | ₽5 076 |
| grok 4.20 | xAI | ₽169/M | ₽338/M | ₽5 076 |
| Grok 4.20 Multi-Agent | xAI | ₽169/M | ₽338/M | ₽5 076 |
| grok 4.3 | xAI | ₽169/M | ₽338/M | ₽5 076 |
| Sakana Namazu | Sakana | ₽129/M | ₽541/M | ₽5 279 |
| Inkling | Thinking Machines | ₽135/M | ₽548/M | ₽5 448 |
| Palmyra X5 | Writer | ₽81.22/M | ₽812/M | ₽5 685 |
| O3 Mini | OpenAI | ₽149/M | ₽596/M | ₽5 956 |
| o3 Mini High | OpenAI | ₽149/M | ₽596/M | ₽5 956 |
| O4 Mini | OpenAI | ₽149/M | ₽596/M | ₽5 956 |
| o4 mini high | OpenAI | ₽149/M | ₽596/M | ₽5 956 |
| glm 5 turbo | Z.ai | ₽162/M | ₽541/M | ₽5 956 |
| GLM 5V Turbo | Z.ai | ₽162/M | ₽541/M | ₽5 956 |
| Claude Haiku 4.5 | Anthropic | ₽135/M | ₽677/M | ₽6 091 |
| Claude Haiku Latest | Anthropic | ₽135/M | ₽677/M | ₽6 091 |
| Claude Sonnet 5.5 (batch) | Anthropic | ₽135/M | ₽677/M | ₽6 091 |
| GPT-6 Sol (batch) | OpenAI | ₽135/M | ₽677/M | ₽6 091 |
| GPT-6 Sol Pro (batch) | OpenAI | ₽135/M | ₽677/M | ₽6 091 |
| Muse Spark 1.1 | Meta | ₽169/M | ₽575/M | ₽6 261 |
| Muse Spark 1.2 | Meta | ₽169/M | ₽575/M | ₽6 261 |
| Muse Spark 1.3 | Meta | ₽169/M | ₽575/M | ₽6 261 |
| Qwen3.6 Max | qwen3.6 max | ₽139/M | ₽834/M | ₽6 951 |
| qwen3.7 max | Qwen | ₽200/M | ₽599/M | ₽6 988 |
| Kimi K3 | kimi k3 | ₽56.18/M -86% ввод | ₽1 354/M | ₽7 892 |
| gpt 5 image mini | OpenAI | ₽338/M | ₽271/M | ₽8 122 |
| Claude Sonnet 4.6 (batch) | Anthropic | ₽203/M | ₽1 015/M | ₽9 137 |
| Mistral Medium 3.5 | Mistral | ₽203/M | ₽1 015/M | ₽9 137 |
| grok 4.5 | xAI | ₽271/M | ₽812/M | ₽9 475 |
| Grok 4.6 | xAI | ₽271/M | ₽812/M | ₽9 475 |
| Grok 4.7 | xAI | ₽271/M | ₽812/M | ₽9 475 |
| Grok Latest | xAI | ₽271/M | ₽812/M | ₽9 475 |
| Mistral Large | Mistral | ₽271/M | ₽812/M | ₽9 475 |
| Mistral Large 2407 | Mistral | ₽271/M | ₽812/M | ₽9 475 |
| Mixtral 8x22B Instruct | Mistral | ₽271/M | ₽812/M | ₽9 475 |
| Qwen3.8 2.4T A95B | Qwen | ₽271/M | ₽812/M | ₽9 475 |
| qwen3.8 max | Qwen | ₽271/M | ₽812/M | ₽9 475 |
| gemini 2.5 pro | ₽169/M | ₽1 354/M | ₽10 152 | |
| Gpt 5.1 | OpenAI | ₽169/M | ₽1 354/M | ₽10 152 |
| GPT-5 | OpenAI | ₽169/M | ₽1 354/M | ₽10 152 |
| GPT-5.1-Codex | OpenAI | ₽169/M | ₽1 354/M | ₽10 152 |
| GPT-5.1-Codex-Max | OpenAI | ₽169/M | ₽1 354/M | ₽10 152 |
| Gemini 3.5 Flash | ₽203/M | ₽1 218/M | ₽10 152 | |
| Magnum v4 72B | anthracite org | ₽338/M | ₽677/M | ₽10 152 |
| Gpt 4.1 | OpenAI | ₽271/M | ₽1 083/M | ₽10 829 |
| GPT-3.5 Turbo 16k | OpenAI | ₽406/M | ₽541/M | ₽10 829 |
| O3 | OpenAI | ₽271/M | ₽1 083/M | ₽10 829 |
| sonar deep research | perplexity | ₽271/M | ₽1 083/M | ₽10 829 |
| sonar reasoning pro | perplexity | ₽271/M | ₽1 083/M | ₽10 829 |
| Pareto | unbiased | ₽338/M | ₽1 015/M | ₽11 844 |
| Aion 3.5 | AionLabs | ₽406/M | ₽812/M | ₽12 183 |
| Aion-3.0 | AionLabs | ₽406/M | ₽812/M | ₽12 183 |
| Claude Opus 5.5 (batch) | Anthropic | ₽271/M | ₽1 354/M | ₽12 183 |
| Claude Sonnet 5 | Anthropic | ₽271/M | ₽1 354/M | ₽12 183 |
| Claude Sonnet 5.5 | Anthropic | ₽271/M | ₽1 354/M | ₽12 183 |
| Claude Sonnet Latest | Anthropic | ₽271/M | ₽1 354/M | ₽12 183 |
| Gpt 5.6 Sol | OpenAI | ₽271/M | ₽1 354/M | ₽12 183 |
| Gpt 6 Sol | OpenAI | ₽271/M | ₽1 354/M | ₽12 183 |
| gpt 6 sol pro | OpenAI | ₽271/M | ₽1 354/M | ₽12 183 |
| gpt 6.1 sol | OpenAI | ₽271/M | ₽1 354/M | ₽12 183 |
| GPT Sol Latest | OpenAI | ₽271/M | ₽1 354/M | ₽12 183 |
| GPT-6.1 Sol Pro | OpenAI | ₽271/M | ₽1 354/M | ₽12 183 |
| GLM 5.3 Prime | Z.ai | ₽379/M | ₽1 191/M | ₽13 536 |
| Gemini 3.1 Pro | ₽271/M | ₽1 624/M | ₽13 536 | |
| Gemini 3.1 Pro Preview Custom Tools | ₽271/M | ₽1 624/M | ₽13 536 | |
| Gemini Pro Latest | ₽271/M | ₽1 624/M | ₽13 536 | |
| Gpt 5.6 Terra | OpenAI | ₽271/M | ₽1 624/M | ₽13 536 |
| gpt 5.6 terra pro | OpenAI | ₽271/M | ₽1 624/M | ₽13 536 |
| GPT Terra Latest | OpenAI | ₽271/M | ₽1 624/M | ₽13 536 |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽271/M | ₽1 624/M | ₽13 536 | |
| Command A | Cohere | ₽338/M | ₽1 354/M | ₽13 536 |
| Command R Plus | command r plus | ₽338/M | ₽1 354/M | ₽13 536 |
| gpt audio | OpenAI | ₽338/M | ₽1 354/M | ₽13 536 |
| GPT-4o | OpenAI | ₽338/M | ₽1 354/M | ₽13 536 |
| Gpt 5.2 | OpenAI | ₽237/M | ₽1 895/M | ₽14 213 |
| gpt 5.3 codex | OpenAI | ₽237/M | ₽1 895/M | ₽14 213 |
| GPT-5.2 Chat | OpenAI | ₽237/M | ₽1 895/M | ₽14 213 |
| GPT-5.2-Codex | OpenAI | ₽237/M | ₽1 895/M | ₽14 213 |
| Nova Premier 1.0 | Amazon | ₽338/M | ₽1 692/M | ₽15 228 |
| Gpt 5.4 | OpenAI | ₽338/M | ₽2 030/M | ₽16 920 |
| MiMo-V2.6-Pro-UltraSpeed | Xiaomi | ₽589/M | ₽1 178/M | ₽17 665 |
| Claude Sonnet 4 | Anthropic | ₽406/M | ₽2 030/M | ₽18 274 |
| Claude Sonnet 4.5 | Anthropic | ₽406/M | ₽2 030/M | ₽18 274 |
| Claude Sonnet 4.6 | Anthropic | ₽406/M | ₽2 030/M | ₽18 274 |
| Ember-1 | Fireworks | ₽406/M | ₽2 030/M | ₽18 274 |
| sonar pro | perplexity | ₽406/M | ₽2 030/M | ₽18 274 |
| qwen3.8 max prime | Qwen | ₽541/M | ₽1 624/M | ₽18 951 |
| Claude Opus 5 5 | Anthropic | ₽541/M | ₽2 707/M | ₽24 365 |
| Claude Opus Latest | Anthropic | ₽541/M | ₽2 707/M | ₽24 365 |
| gpt 5.6 sol pro | OpenAI | ₽541/M | ₽2 707/M | ₽24 365 |
| Claude Fable 5.1 (batch) | Anthropic | ₽677/M | ₽3 384/M | ₽30 456 |
| Claude Opus 4 8 | Anthropic | ₽677/M | ₽3 384/M | ₽30 456 |
| Claude Opus 4.5 | Anthropic | ₽677/M | ₽3 384/M | ₽30 456 |
| Claude Opus 4.6 | Anthropic | ₽677/M | ₽3 384/M | ₽30 456 |
| Claude Opus 4.7 | Anthropic | ₽677/M | ₽3 384/M | ₽30 456 |
| Claude Opus 5 | Anthropic | ₽677/M | ₽3 384/M | ₽30 456 |
| GPT-6 Astra (batch) | OpenAI | ₽677/M | ₽3 384/M | ₽30 456 |
| GPT-6 Astra Pro (batch) | OpenAI | ₽677/M | ₽3 384/M | ₽30 456 |
| GPT-5.4 Image 2 | OpenAI | ₽1 083/M | ₽2 030/M | ₽31 810 |
| Gpt 5.5 | OpenAI | ₽677/M | ₽4 061/M | ₽33 840 |
| GPT Chat Latest | OpenAI | ₽677/M | ₽4 061/M | ₽33 840 |
| GPT-5 Image | OpenAI | ₽1 354/M | ₽1 354/M | ₽33 840 |
| gpt 4 turbo | OpenAI | ₽1 354/M | ₽4 061/M | ₽47 376 |
| claude fable 5 | Anthropic | ₽1 354/M | ₽6 768/M | ₽60 912 |
| Claude Fable 5 1 | Anthropic | ₽1 354/M | ₽6 768/M | ₽60 912 |
| Claude Fable Latest | Anthropic | ₽1 354/M | ₽6 768/M | ₽60 912 |
| Gpt 6 Astra | OpenAI | ₽1 354/M | ₽6 768/M | ₽60 912 |
| gpt 6 astra pro | OpenAI | ₽1 354/M | ₽6 768/M | ₽60 912 |
| GPT Astra Latest | OpenAI | ₽1 354/M | ₽6 768/M | ₽60 912 |
| O1 | OpenAI | ₽2 030/M | ₽8 122/M | ₽81 216 |
| Claude Opus 4 | Anthropic | ₽2 030/M | ₽10 152/M | ₽91 368 |
| o3 Pro | OpenAI | ₽2 707/M | ₽10 829/M | ₽108 288 |
| gpt 4 | OpenAI | ₽4 061/M | ₽8 122/M | ₽121 824 |
| GPT-5 Pro | OpenAI | ₽2 030/M | ₽16 243/M | ₽121 824 |
| GPT-5.2 Pro | OpenAI | ₽2 843/M | ₽22 741/M | ₽170 554 |
| gpt 5.4 pro | OpenAI | ₽4 061/M | ₽24 365/M | ₽203 040 |
| Gpt 5.5 Pro | OpenAI | ₽4 061/M | ₽24 365/M | ₽203 040 |
| o1-pro | OpenAI | ₽20 304/M | ₽81 216/M | ₽812 161 |
Текст и чат
оплата за токены · 371
▼
Текст и чат
оплата за токены · 371
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.55/M | ₽0.55/M | ₽11 |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.68/M | ₽0.68/M | ₽14 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.68/M | ₽0.68/M | ₽14 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.68/M | ₽0.68/M | ₽14 |
| bge-base-en-v1.5 | baai | ₽0.68/M | ₽0.68/M | ₽14 |
| E5-Base-v2 | Intfloat | ₽0.68/M | ₽0.68/M | ₽14 |
| GTE-Base | Thenlper | ₽0.68/M | ₽0.68/M | ₽14 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.68/M | ₽0.68/M | ₽14 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.68/M | ₽0.68/M | ₽14 |
| Bge M3 | baai | ₽1.36/M | ₽1.36/M | ₽27 |
| bge-large-en-v1.5 | baai | ₽1.36/M | ₽1.36/M | ₽27 |
| E5-Large-v2 | Intfloat | ₽1.36/M | ₽1.36/M | ₽27 |
| GTE-Large | Thenlper | ₽1.36/M | ₽1.36/M | ₽27 |
| Multilingual-E5-Large | Intfloat | ₽1.36/M | ₽1.36/M | ₽27 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽1.36/M | ₽1.36/M | ₽27 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽2.71/M | ₽2.71/M | ₽54 |
| text embedding 3 small | OpenAI | ₽2.71/M | ₽2.71/M | ₽54 |
| voyage-4-lite | VoyageAI by MongoDB | ₽2.71/M | ₽2.71/M | ₽54 |
| Mistral Nemo | Mistral | ₽2.58/M | ₽4.07/M | ₽72 |
| pplx embed v1 4b | pplx embed v1 4b | ₽4.07/M | ₽4.07/M | ₽81 |
| Ling 3.0 Flash VL | inclusionAI | ₽2.85/M | ₽8.34/M | ₽99 |
| gpt oss 20b | OpenAI | ₽2.44/M | ₽12.19/M | ₽110 |
| Granite 4.0 Micro | IBM | ₽2.31/M | ₽15.17/M | ₽122 |
| Llama 3 8B Lunaris | Meta | ₽5.42/M | ₽6.77/M | ₽142 |
| voyage-4 | VoyageAI by MongoDB | ₽8.13/M | ₽8.13/M | ₽163 |
| qwen3.7 flash | Qwen | ₽4.07/M | ₽17.60/M | ₽169 |
| deepseek v4 flash | DeepSeek | ₽5.67/M -47% ввод | ₽11.34/M | ₽170 |
| Schematron V2 Turbo | Inference.net | ₽4.07/M | ₽20.31/M | ₽183 |
| llama 3.1 8b | Meta | ₽6.77/M | ₽10.83/M | ₽190 |
| Mistral Small 3 | Mistral | ₽6.77/M | ₽10.83/M | ₽190 |
| Amazon Nova Micro | nova micro | ₽4.74/M | ₽18.96/M | ₽190 |
| Gemma 3 4B | ₽6.77/M | ₽13.54/M | ₽203 | |
| Command R7B (12-2024) | Cohere | ₽5.08/M | ₽20.31/M | ₽203 |
| Llama 3.2 1B Preview | Meta | ₽3.66/M | ₽27.21/M | ₽209 |
| Mercury 2.5 | Inception | ₽5.42/M | ₽20.31/M | ₽210 |
| gpt oss 120b | OpenAI | ₽5.01/M | ₽23.02/M | ₽215 |
| gemma 3 12b it | ₽6.77/M | ₽20.31/M | ₽237 | |
| Hy-MT2-1.8B | Tencent | ₽5.96/M | ₽23.96/M | ₽239 |
| Laguna XS 2.1 | Poolside | ₽8.13/M | ₽16.25/M | ₽244 |
| GLM Flash Latest | Z.ai | ₽2.71/M | ₽40.61/M | ₽257 |
| qwen3 30b a3b instruct 2507 | Qwen | ₽6.52/M | ₽26.14/M | ₽261 |
| Mistral Embed 2312 | Mistral | ₽13.54/M | ₽13.54/M | ₽271 |
| Nemotron 3 Nano 30B A3B | NVIDIA | ₽6.77/M | ₽27.08/M | ₽271 |
| Solar Mini 4 | Upstage | ₽6.77/M | ₽27.08/M | ₽271 |
| Text Embedding ADA | text embedding ada | ₽13.54/M | ₽13.54/M | ₽271 |
| Nemotron 3.5 Lightning | NVIDIA | ₽8.06/M | ₽23.02/M | ₽276 |
| Phi 4 | Microsoft | ₽9.48/M | ₽18.96/M | ₽284 |
| Ling 3.0 Flash Fin | inclusionAI | ₽8.13/M | ₽24.37/M | ₽284 |
| MythoMax 13B | gryphe | ₽10.83/M | ₽14.89/M | ₽291 |
| Schematron V2 Small | Inference.net | ₽6.77/M | ₽31.14/M | ₽291 |
| GLM 5.3 Flash (batch) | Z.ai | ₽8.13/M | ₽27.08/M | ₽298 |
| GPT-6 Luna (batch) | OpenAI | ₽6.77/M | ₽33.85/M | ₽305 |
| GPT-6 Luna Pro (batch) | OpenAI | ₽6.77/M | ₽33.85/M | ₽305 |
| voyage-4-large | VoyageAI by MongoDB | ₽16.25/M | ₽16.25/M | ₽325 |
| voyage-code-4 | VoyageAI by MongoDB | ₽16.25/M | ₽16.25/M | ₽325 |
| voyage-multimodal-3.5 | VoyageAI by MongoDB | ₽16.25/M | ₽16.25/M | ₽325 |
| Nova Lite | nova lite | ₽8.13/M | ₽32.49/M | ₽325 |
| Granite 4.2 8B | IBM | ₽8.13/M | ₽33.85/M | ₽332 |
| Ministral 3 3B 2512 | Mistral | ₽13.54/M | ₽13.54/M | ₽338 |
| Reka Edge | rekaai | ₽13.54/M | ₽13.54/M | ₽338 |
| Qwen3.5 Flash | alibaba | ₽8.80/M | ₽35.20/M | ₽352 |
| text embedding 3 large | OpenAI | ₽17.60/M | ₽17.60/M | ₽352 |
| Llama 3.2 3B | Meta | ₽6.77/M | ₽44.67/M | ₽359 |
| Laguna S 2.1 | Poolside | ₽12.19/M | ₽24.37/M | ₽366 |
| qwen3.5 9b | Qwen | ₽13.54/M | ₽20.31/M | ₽372 |
| Qwen 3 Coder 30B A3B Instruct | Qwen | ₽9.48/M | ₽37.91/M | ₽379 |
| gemma 4 26b a4b it | ₽10.36/M | ₽34.52/M | ₽380 | |
| Hy-MT2-30B-A3B | Tencent | ₽10.02/M | ₽39.94/M | ₽400 |
| Hy-MT2-7B | Tencent | ₽10.02/M | ₽39.94/M | ₽400 |
| GPT-5 Nano | OpenAI | ₽6.77/M | ₽54.15/M | ₽406 |
| Qwen3 32B | Qwen | ₽10.83/M | ₽37.91/M | ₽406 |
| Muse Spark 1.2 Contributor | Meta | ₽13.54/M | ₽27.08/M | ₽406 |
| Muse Spark 1.3 Contributor | Meta | ₽13.54/M | ₽27.08/M | ₽406 |
| Qwen2.5 7B Instruct | Qwen | ₽13.54/M | ₽27.08/M | ₽406 |
| Reka Flash 3 | rekaai | ₽13.54/M | ₽27.08/M | ₽406 |
| UI-TARS 7B | ByteDance | ₽13.54/M | ₽27.08/M | ₽406 |
| Codestral Embed 2505 | Mistral | ₽20.31/M | ₽20.31/M | ₽406 |
| gemini embedding exp | ₽20.31/M | ₽20.31/M | ₽406 | |
| gpt-oss-safeguard-20b | OpenAI | ₽10.16/M | ₽40.61/M | ₽406 |
| Seed 1.6 Flash | ByteDance Seed | ₽10.16/M | ₽40.61/M | ₽406 |
| deepseek v4.1 flash | DeepSeek | ₽4.07/M | ₽67.69/M | ₽420 |
| Mistral Small 3.2 24B | Mistral | ₽12.70/M | ₽33.85/M | ₽423 |
| glm 4.7 flash | Z.ai | ₽8.19/M | ₽54.15/M | ₽435 |
| Hy3 | Tencent | ₽11.17/M | ₽44.67/M | ₽447 |
| Llama 4 Scout | Meta | ₽13.54/M | ₽40.61/M | ₽474 |
| Step 3.5 Flash | StepFun | ₽13.54/M | ₽40.61/M | ₽474 |
| Voxtral Small 24B 2507 | Mistral | ₽13.54/M | ₽40.61/M | ₽474 |
| qwen3 235b a22b 2507 | Qwen | ₽11.85/M | ₽47.38/M | ₽474 |
| gemma 4 31b it | ₽12.19/M | ₽46.03/M | ₽474 | |
| DeepSeek Flash Latest | DeepSeek | ₽3.58/M | ₽81.22/M | ₽478 |
| Llama 3.3 70B | Meta | ₽13.54/M | ₽43.32/M | ₽487 |
| Solar Pro 4 | Upstage | ₽12.19/M | ₽48.73/M | ₽487 |
| Qwen3 14B | Qwen | ₽16.25/M | ₽32.49/M | ₽487 |
| Ministral 3 8B 2512 | Mistral | ₽20.31/M | ₽20.31/M | ₽508 |
| gemma 3 27b it | ₽10.83/M | ₽60.92/M | ₽521 | |
| Nemotron 3 Super | NVIDIA | ₽10.83/M | ₽60.92/M | ₽521 |
| DeepSeek V4.1 Flash (batch) | DeepSeek | ₽15.17/M | ₽45.49/M | ₽531 |
| gemini 2.5 flash lite | ₽13.54/M | ₽54.15/M | ₽542 | |
| Gpt 4.1 Nano | OpenAI | ₽13.54/M | ₽54.15/M | ₽542 |
| Seed-2.0-Mini | ByteDance Seed | ₽13.54/M | ₽54.15/M | ₽542 |
| Gemini Embedding 2 | ₽27.08/M | ₽27.08/M | ₽542 | |
| Ternary Bonsai 2 27B | PrismML | ₽10.16/M | ₽67.69/M | ₽542 |
| qwen3 vl 32b instruct | Qwen | ₽14.08/M | ₽56.31/M | ₽563 |
| MiMo-V2.5 | Xiaomi | ₽18.96/M | ₽37.91/M | ₽569 |
| MiMo-V2.6-Flash | Xiaomi | ₽18.96/M | ₽37.91/M | ₽569 |
| Gpt 6 Luna | OpenAI | ₽13.54/M | ₽67.69/M | ₽609 |
| gpt 6 luna pro | OpenAI | ₽13.54/M | ₽67.69/M | ₽609 |
| GPT Luna Latest | OpenAI | ₽13.54/M | ₽67.69/M | ₽609 |
| Llama Guard 4 12B | Meta | ₽24.37/M | ₽24.37/M | ₽609 |
| Qwen3 8B | Qwen | ₽15.84/M | ₽61.59/M | ₽625 |
| qwen3 vl 8b instruct | Qwen | ₽15.84/M | ₽61.59/M | ₽625 |
| Qwen3 30B A3B | Qwen | ₽16.25/M | ₽67.69/M | ₽663 |
| Ministral 3 14B 2512 | Mistral | ₽27.08/M | ₽27.08/M | ₽677 |
| Nemotron 3.5 Content Safety | NVIDIA | ₽27.08/M | ₽27.08/M | ₽677 |
| qwen3.8 flash | Qwen | ₽20.31/M | ₽63.62/M | ₽724 |
| Qwen3.8 Omni Flash | Qwen | ₽20.31/M | ₽63.62/M | ₽724 |
| Glm 5.3 Flash | glm 5.3 flash | ₽20.31/M | ₽67.69/M | ₽745 |
| hunyuan a13b | hunyuan a13b | ₽18.96/M | ₽77.16/M | ₽765 |
| Command R | command r | ₽20.31/M | ₽81.22/M | ₽812 |
| GPT-4o Mini | OpenAI | ₽20.31/M | ₽81.22/M | ₽812 |
| Mistral Small 4 | Mistral | ₽20.31/M | ₽81.22/M | ₽812 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽20.31/M | ₽81.22/M | ₽812 |
| Solar Pro 3 | Upstage | ₽20.31/M | ₽81.22/M | ₽812 |
| Deepseek V4 Pro | DeepSeek | ₽28.27/M -74% ввод | ₽56.53/M | ₽848 |
| qwen3 coder next | Qwen | ₽16.25/M | ₽108/M | ₽866 |
| DeepSeek V4 Flash Latest | DeepSeek | ₽1.47/M | ₽173/M | ₽896 |
| GLM 4.5 Air | Z.ai | ₽17.60/M | ₽115/M | ₽927 |
| Saba | Mistral | ₽27.08/M | ₽81.22/M | ₽948 |
| Llama 4 Maverick | Meta | ₽25.39/M | ₽88.33/M | ₽949 |
| deepseek v3.2 | DeepSeek | ₽36.55/M | ₽55.50/M | ₽1 009 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽13.54/M | ₽149/M | ₽1 015 |
| DeepSeek V4 Flash Vision Exp | DeepSeek | ₽29.19/M | ₽87.56/M | ₽1 022 |
| qwen3.6 35b a3b | Qwen | ₽20.31/M | ₽135/M | ₽1 083 |
| minimax m2.7 | MiniMax | ₽28.43/M | ₽114/M | ₽1 137 |
| Cydonia 24B V4.1 | TheDrummer | ₽40.61/M | ₽67.69/M | ₽1 151 |
| Uncensored | Venice | ₽27.08/M | ₽122/M | ₽1 151 |
| Mercury 2 | Inception | ₽33.85/M | ₽102/M | ₽1 185 |
| Qwen3 Coder Flash | Qwen | ₽26.40/M | ₽132/M | ₽1 188 |
| Trinity Large Thinking | Arcee AI | ₽33.85/M | ₽108/M | ₽1 218 |
| Qwen Plus | Qwen | ₽35.20/M | ₽106/M | ₽1 232 |
| qwen 2.5 72b instruct | Qwen | ₽48.73/M | ₽54.15/M | ₽1 245 |
| qwen3.6 flash | Qwen | ₽25.39/M | ₽152/M | ₽1 269 |
| MiniMax-01 | MiniMax | ₽27.08/M | ₽149/M | ₽1 286 |
| Qwen3.5-35B-A3B | Qwen | ₽22.00/M | ₽176/M | ₽1 320 |
| Step 3.7 Flash | StepFun | ₽27.08/M | ₽156/M | ₽1 320 |
| deepseek chat v3.1 | DeepSeek | ₽33.85/M | ₽129/M | ₽1 320 |
| Mistral Small 3.1 24B | Mistral | ₽47.52/M | ₽75.13/M | ₽1 326 |
| llama 3.1 70b | Meta | ₽54.15/M | ₽54.15/M | ₽1 354 |
| UnslopNemo 12B | TheDrummer | ₽54.15/M | ₽54.15/M | ₽1 354 |
| Gpt 5.6 Luna | OpenAI | ₽27.08/M | ₽162/M | ₽1 354 |
| gpt 5.6 luna pro | OpenAI | ₽27.08/M | ₽162/M | ₽1 354 |
| ReMM SLERP 13B | undi95 | ₽47.38/M | ₽87.99/M | ₽1 388 |
| Gpt 5.4 Nano | OpenAI | ₽27.08/M | ₽169/M | ₽1 388 |
| DeepSeek Chat (V3) | DeepSeek | ₽34.85/M | ₽139/M | ₽1 393 |
| Codestral 2508 | Mistral | ₽40.61/M | ₽122/M | ₽1 421 |
| glm 4.6v | Z.ai | ₽40.61/M | ₽122/M | ₽1 421 |
| Perceptron Mk1 | Perceptron | ₽20.31/M | ₽203/M | ₽1 421 |
| Perceptron Mk1.5 | Perceptron | ₽20.31/M | ₽203/M | ₽1 421 |
| MiniMax M2.5 | MiniMax | ₽36.55/M | ₽146/M | ₽1 462 |
| DeepSeek V3.1 Terminus | DeepSeek | ₽40.61/M | ₽135/M | ₽1 489 |
| qwen3 coder | Qwen | ₽40.61/M | ₽135/M | ₽1 489 |
| Qwen3.5-27B | Qwen | ₽26.40/M | ₽211/M | ₽1 584 |
| LongCat 2.0 | Meituan | ₽40.61/M | ₽162/M | ₽1 624 |
| MiniMax M2 | MiniMax | ₽40.61/M | ₽162/M | ₽1 624 |
| MiniMax M2-her | MiniMax | ₽40.61/M | ₽162/M | ₽1 624 |
| MiniMax M2.1 | MiniMax | ₽40.61/M | ₽162/M | ₽1 624 |
| minimax m3 | MiniMax | ₽40.61/M | ₽162/M | ₽1 624 |
| Gemini 3.1 Flash Lite | ₽33.85/M | ₽203/M | ₽1 692 | |
| gemini 3.1 flash lite image | ₽33.85/M | ₽203/M | ₽1 692 | |
| qwen3.7 plus | Qwen | ₽43.32/M | ₽173/M | ₽1 733 |
| qwen3.5 plus | qwen3.5 plus | ₽35.20/M | ₽211/M | ₽1 760 |
| MiMo-V2.5-Pro | Xiaomi | ₽58.89/M | ₽118/M | ₽1 767 |
| MiMo-V2.6-Pro | Xiaomi | ₽58.89/M | ₽118/M | ₽1 767 |
| Command A+ | Cohere | ₽40.61/M | ₽203/M | ₽1 827 |
| Glm 5.3 Flashx | glm 5.3 flashx | ₽50.09/M | ₽169/M | ₽1 848 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽28.43/M | ₽257/M | ₽1 855 |
| Muse Glimmer 30B | Meta | ₽47.38/M | ₽203/M | ₽1 963 |
| ERNIE 4.5 VL 424B A47B | Baidu | ₽56.86/M | ₽169/M | ₽1 983 |
| Skyfall 36B V2 | TheDrummer | ₽74.45/M | ₽108/M | ₽2 030 |
| Inkling Small | Thinking Machines | ₽60.92/M | ₽162/M | ₽2 031 |
| GPT-5 Mini | OpenAI | ₽33.85/M | ₽271/M | ₽2 031 |
| GPT-5.1-Codex-Mini | OpenAI | ₽33.85/M | ₽271/M | ₽2 031 |
| Seed 1.6 | ByteDance Seed | ₽33.85/M | ₽271/M | ₽2 031 |
| Seed-2.0-Lite | ByteDance Seed | ₽33.85/M | ₽271/M | ₽2 031 |
| GLM Latest | Z.ai | ₽14.35/M | ₽359/M -34% вывод | ₽2 083 |
| WizardLM-2 8x22B | microsoft | ₽83.93/M | ₽83.93/M | ₽2 098 |
| Qwen3.5-122B-A10B | Qwen | ₽35.20/M | ₽282/M | ₽2 112 |
| Gpt 4.1 Mini | OpenAI | ₽54.15/M | ₽217/M | ₽2 166 |
| qwen3 235b a22b | Qwen | ₽31.14/M | ₽311/M | ₽2 179 |
| Gemma 2 27B | ₽87.99/M | ₽87.99/M | ₽2 200 | |
| Qwen3.6 Plus | Qwen | ₽44.00/M | ₽264/M | ₽2 200 |
| Llama 3.3 Euryale 70B | Meta | ₽87.99/M | ₽102/M | ₽2 267 |
| Gemini 3.7 Flash (batch) | ₽50.77/M | ₽254/M | ₽2 284 | |
| Gemini 3.8 Flash (batch) | ₽50.77/M | ₽254/M | ₽2 284 | |
| GLM 4.6 | Z.ai | ₽58.21/M | ₽237/M | ₽2 349 |
| Hermes 3 70B Instruct | Nous | ₽94.76/M | ₽94.76/M | ₽2 369 |
| gpt 3.5 turbo | OpenAI | ₽67.69/M | ₽203/M | ₽2 369 |
| Kimi K2.6 | kimi k2.6 | ₽58.77/M | ₽247/M -47% вывод | ₽2 413 |
| Mistral Medium 3 | Mistral | ₽54.15/M | ₽271/M | ₽2 437 |
| Mistral Medium 3.1 | Mistral | ₽54.15/M | ₽271/M | ₽2 437 |
| Qwen2.5 Coder 32B Instruct | Qwen | ₽89.34/M | ₽135/M | ₽2 464 |
| Gemini 2.5 Flash | ₽40.61/M | ₽338/M | ₽2 504 | |
| gemini 2.5 flash image | ₽40.61/M | ₽338/M | ₽2 504 | |
| Gemini 3.5 Flash Lite | ₽40.61/M | ₽338/M | ₽2 504 | |
| Nova 2 Lite | amazon | ₽40.61/M | ₽338/M | ₽2 504 |
| GLM 5.3 (batch) | Z.ai | ₽60.92/M | ₽271/M | ₽2 572 |
| Kimi K2.5 | MoonshotAI | ₽60.92/M | ₽305/M | ₽2 741 |
| DeepSeek Pro Latest | DeepSeek | ₽19.38/M | ₽474/M | ₽2 756 |
| deepseek r1 | DeepSeek | ₽67.69/M | ₽291/M | ₽2 809 |
| GLM 4.5V | Z.ai | ₽81.22/M | ₽244/M | ₽2 843 |
| Qwen2.5 VL 72B Instruct | Qwen | ₽108/M | ₽135/M | ₽2 843 |
| Aion 3.5 Mini | AionLabs | ₽94.76/M | ₽190/M | ₽2 843 |
| Aion-3.0-Mini | AionLabs | ₽94.76/M | ₽190/M | ₽2 843 |
| Llama 3.1 Euryale 70B v2.2 | Meta | ₽115/M | ₽115/M | ₽2 877 |
| Glm 5.3 | glm 5.3 | ₽30.04/M -84% ввод | ₽459/M | ₽2 895 |
| GLM-5 | glm 5 | ₽81.22/M | ₽260/M | ₽2 924 |
| MiniMax M1 | MiniMax | ₽74.45/M | ₽298/M | ₽2 978 |
| Morph V3 Fast | Morph | ₽108/M | ₽162/M | ₽2 978 |
| qwen3.6 27b | Qwen | ₽43.32/M | ₽433/M | ₽3 032 |
| Seed 2.1 Turbo | ByteDance Seed | ₽67.69/M | ₽338/M | ₽3 046 |
| Kimi K2 0711 | MoonshotAI | ₽77.16/M | ₽311/M | ₽3 100 |
| GLM 4.5 | Z.ai | ₽81.22/M | ₽298/M | ₽3 113 |
| Glm 4.7 | glm 4.7 | ₽81.22/M | ₽298/M | ₽3 113 |
| Relace Apply 3 | Relace | ₽115/M | ₽169/M | ₽3 147 |
| qwen3.8 27b | Qwen | ₽56.86/M | ₽406/M | ₽3 168 |
| Aion-2.0 | AionLabs | ₽108/M | ₽217/M | ₽3 249 |
| Aion-RP 1.0 (8B) | AionLabs | ₽108/M | ₽217/M | ₽3 249 |
| gpt audio mini | OpenAI | ₽81.22/M | ₽325/M | ₽3 249 |
| Nemotron 3 Ultra | NVIDIA | ₽81.22/M | ₽325/M | ₽3 249 |
| gemini 3 flash | ₽67.69/M | ₽406/M | ₽3 384 | |
| Seed-2.0-Code | ByteDance Seed | ₽67.69/M | ₽406/M | ₽3 384 |
| Hermes 3 405B Instruct | Nous | ₽135/M | ₽135/M | ₽3 384 |
| Sonar | perplexity | ₽135/M | ₽135/M | ₽3 384 |
| Hy4 preview | Tencent | ₽102/M | ₽305/M | ₽3 556 |
| Morph V3 Large | Morph | ₽122/M | ₽257/M | ₽3 723 |
| Glm 5.2 | glm 5.2 | ₽55.50/M | ₽540/M | ₽3 810 |
| qwen3.5 397b a17b | Qwen | ₽74.45/M | ₽474/M | ₽3 858 |
| qwen3 coder plus | Qwen | ₽87.99/M | ₽440/M | ₽3 959 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽100/M | ₽401/M | ₽4 007 |
| Grok 4.3 (batch) | xAI | ₽135/M | ₽271/M | ₽4 061 |
| Grok Build 0.1 | xAI | ₽135/M | ₽271/M | ₽4 061 |
| Kimi K2.7 Code | kimi k2.7 code | ₽90.86/M | ₽453/M | ₽4 084 |
| Nova Pro | nova pro | ₽108/M | ₽433/M | ₽4 332 |
| Pareto 26.10 Preview | unbiased | ₽108/M | ₽433/M | ₽4 332 |
| Gemini 3.6 Flash | ₽102/M | ₽508/M | ₽4 569 | |
| Gemini 3.7 Flash | ₽102/M | ₽508/M | ₽4 569 | |
| Gemini 3.8 Flash | ₽102/M | ₽508/M | ₽4 569 | |
| Gemini Flash Latest | ₽102/M | ₽508/M | ₽4 569 | |
| Mistral Medium 3.5 (batch) | Mistral | ₽102/M | ₽508/M | ₽4 569 |
| Glm 5.1 | glm 5.1 | ₽131/M | ₽410/M | ₽4 663 |
| Hermes 4 405B | Nous | ₽135/M | ₽406/M | ₽4 738 |
| Relace Search | relace | ₽135/M | ₽406/M | ₽4 738 |
| Qwen3 Max | qwen3 max | ₽106/M | ₽528/M | ₽4 751 |
| Gpt 5.4 Mini | OpenAI | ₽102/M | ₽609/M | ₽5 076 |
| GPT Mini Latest | OpenAI | ₽102/M | ₽609/M | ₽5 076 |
| grok 4.20 | xAI | ₽169/M | ₽338/M | ₽5 076 |
| Grok 4.20 Multi-Agent | xAI | ₽169/M | ₽338/M | ₽5 076 |
| grok 4.3 | xAI | ₽169/M | ₽338/M | ₽5 076 |
| Sakana Namazu | Sakana | ₽129/M | ₽541/M | ₽5 279 |
| Inkling | Thinking Machines | ₽135/M | ₽548/M | ₽5 448 |
| Palmyra X5 | Writer | ₽81.22/M | ₽812/M | ₽5 685 |
| O3 Mini | OpenAI | ₽149/M | ₽596/M | ₽5 956 |
| o3 Mini High | OpenAI | ₽149/M | ₽596/M | ₽5 956 |
| O4 Mini | OpenAI | ₽149/M | ₽596/M | ₽5 956 |
| o4 mini high | OpenAI | ₽149/M | ₽596/M | ₽5 956 |
| glm 5 turbo | Z.ai | ₽162/M | ₽541/M | ₽5 956 |
| GLM 5V Turbo | Z.ai | ₽162/M | ₽541/M | ₽5 956 |
| Claude Haiku 4.5 | Anthropic | ₽135/M | ₽677/M | ₽6 091 |
| Claude Haiku Latest | Anthropic | ₽135/M | ₽677/M | ₽6 091 |
| Claude Sonnet 5.5 (batch) | Anthropic | ₽135/M | ₽677/M | ₽6 091 |
| GPT-6 Sol (batch) | OpenAI | ₽135/M | ₽677/M | ₽6 091 |
| GPT-6 Sol Pro (batch) | OpenAI | ₽135/M | ₽677/M | ₽6 091 |
| Muse Spark 1.1 | Meta | ₽169/M | ₽575/M | ₽6 261 |
| Muse Spark 1.2 | Meta | ₽169/M | ₽575/M | ₽6 261 |
| Muse Spark 1.3 | Meta | ₽169/M | ₽575/M | ₽6 261 |
| Qwen3.6 Max | qwen3.6 max | ₽139/M | ₽834/M | ₽6 951 |
| qwen3.7 max | Qwen | ₽200/M | ₽599/M | ₽6 988 |
| Kimi K3 | kimi k3 | ₽56.18/M -86% ввод | ₽1 354/M | ₽7 892 |
| gpt 5 image mini | OpenAI | ₽338/M | ₽271/M | ₽8 122 |
| Claude Sonnet 4.6 (batch) | Anthropic | ₽203/M | ₽1 015/M | ₽9 137 |
| Mistral Medium 3.5 | Mistral | ₽203/M | ₽1 015/M | ₽9 137 |
| grok 4.5 | xAI | ₽271/M | ₽812/M | ₽9 475 |
| Grok 4.6 | xAI | ₽271/M | ₽812/M | ₽9 475 |
| Grok 4.7 | xAI | ₽271/M | ₽812/M | ₽9 475 |
| Grok Latest | xAI | ₽271/M | ₽812/M | ₽9 475 |
| Mistral Large | Mistral | ₽271/M | ₽812/M | ₽9 475 |
| Mistral Large 2407 | Mistral | ₽271/M | ₽812/M | ₽9 475 |
| Mixtral 8x22B Instruct | Mistral | ₽271/M | ₽812/M | ₽9 475 |
| Qwen3.8 2.4T A95B | Qwen | ₽271/M | ₽812/M | ₽9 475 |
| qwen3.8 max | Qwen | ₽271/M | ₽812/M | ₽9 475 |
| gemini 2.5 pro | ₽169/M | ₽1 354/M | ₽10 152 | |
| Gpt 5.1 | OpenAI | ₽169/M | ₽1 354/M | ₽10 152 |
| GPT-5 | OpenAI | ₽169/M | ₽1 354/M | ₽10 152 |
| GPT-5.1-Codex | OpenAI | ₽169/M | ₽1 354/M | ₽10 152 |
| GPT-5.1-Codex-Max | OpenAI | ₽169/M | ₽1 354/M | ₽10 152 |
| Gemini 3.5 Flash | ₽203/M | ₽1 218/M | ₽10 152 | |
| Magnum v4 72B | anthracite org | ₽338/M | ₽677/M | ₽10 152 |
| Gpt 4.1 | OpenAI | ₽271/M | ₽1 083/M | ₽10 829 |
| GPT-3.5 Turbo 16k | OpenAI | ₽406/M | ₽541/M | ₽10 829 |
| O3 | OpenAI | ₽271/M | ₽1 083/M | ₽10 829 |
| sonar deep research | perplexity | ₽271/M | ₽1 083/M | ₽10 829 |
| sonar reasoning pro | perplexity | ₽271/M | ₽1 083/M | ₽10 829 |
| Pareto | unbiased | ₽338/M | ₽1 015/M | ₽11 844 |
| Aion 3.5 | AionLabs | ₽406/M | ₽812/M | ₽12 183 |
| Aion-3.0 | AionLabs | ₽406/M | ₽812/M | ₽12 183 |
| Claude Opus 5.5 (batch) | Anthropic | ₽271/M | ₽1 354/M | ₽12 183 |
| Claude Sonnet 5 | Anthropic | ₽271/M | ₽1 354/M | ₽12 183 |
| Claude Sonnet 5.5 | Anthropic | ₽271/M | ₽1 354/M | ₽12 183 |
| Claude Sonnet Latest | Anthropic | ₽271/M | ₽1 354/M | ₽12 183 |
| Gpt 5.6 Sol | OpenAI | ₽271/M | ₽1 354/M | ₽12 183 |
| Gpt 6 Sol | OpenAI | ₽271/M | ₽1 354/M | ₽12 183 |
| gpt 6 sol pro | OpenAI | ₽271/M | ₽1 354/M | ₽12 183 |
| gpt 6.1 sol | OpenAI | ₽271/M | ₽1 354/M | ₽12 183 |
| GPT Sol Latest | OpenAI | ₽271/M | ₽1 354/M | ₽12 183 |
| GPT-6.1 Sol Pro | OpenAI | ₽271/M | ₽1 354/M | ₽12 183 |
| GLM 5.3 Prime | Z.ai | ₽379/M | ₽1 191/M | ₽13 536 |
| Gemini 3.1 Pro | ₽271/M | ₽1 624/M | ₽13 536 | |
| Gemini 3.1 Pro Preview Custom Tools | ₽271/M | ₽1 624/M | ₽13 536 | |
| Gemini Pro Latest | ₽271/M | ₽1 624/M | ₽13 536 | |
| Gpt 5.6 Terra | OpenAI | ₽271/M | ₽1 624/M | ₽13 536 |
| gpt 5.6 terra pro | OpenAI | ₽271/M | ₽1 624/M | ₽13 536 |
| GPT Terra Latest | OpenAI | ₽271/M | ₽1 624/M | ₽13 536 |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽271/M | ₽1 624/M | ₽13 536 | |
| Command A | Cohere | ₽338/M | ₽1 354/M | ₽13 536 |
| Command R Plus | command r plus | ₽338/M | ₽1 354/M | ₽13 536 |
| gpt audio | OpenAI | ₽338/M | ₽1 354/M | ₽13 536 |
| GPT-4o | OpenAI | ₽338/M | ₽1 354/M | ₽13 536 |
| Gpt 5.2 | OpenAI | ₽237/M | ₽1 895/M | ₽14 213 |
| gpt 5.3 codex | OpenAI | ₽237/M | ₽1 895/M | ₽14 213 |
| GPT-5.2 Chat | OpenAI | ₽237/M | ₽1 895/M | ₽14 213 |
| GPT-5.2-Codex | OpenAI | ₽237/M | ₽1 895/M | ₽14 213 |
| Nova Premier 1.0 | Amazon | ₽338/M | ₽1 692/M | ₽15 228 |
| Gpt 5.4 | OpenAI | ₽338/M | ₽2 030/M | ₽16 920 |
| MiMo-V2.6-Pro-UltraSpeed | Xiaomi | ₽589/M | ₽1 178/M | ₽17 665 |
| Claude Sonnet 4 | Anthropic | ₽406/M | ₽2 030/M | ₽18 274 |
| Claude Sonnet 4.5 | Anthropic | ₽406/M | ₽2 030/M | ₽18 274 |
| Claude Sonnet 4.6 | Anthropic | ₽406/M | ₽2 030/M | ₽18 274 |
| Ember-1 | Fireworks | ₽406/M | ₽2 030/M | ₽18 274 |
| sonar pro | perplexity | ₽406/M | ₽2 030/M | ₽18 274 |
| qwen3.8 max prime | Qwen | ₽541/M | ₽1 624/M | ₽18 951 |
| Claude Opus 5 5 | Anthropic | ₽541/M | ₽2 707/M | ₽24 365 |
| Claude Opus Latest | Anthropic | ₽541/M | ₽2 707/M | ₽24 365 |
| gpt 5.6 sol pro | OpenAI | ₽541/M | ₽2 707/M | ₽24 365 |
| Claude Fable 5.1 (batch) | Anthropic | ₽677/M | ₽3 384/M | ₽30 456 |
| Claude Opus 4 8 | Anthropic | ₽677/M | ₽3 384/M | ₽30 456 |
| Claude Opus 4.5 | Anthropic | ₽677/M | ₽3 384/M | ₽30 456 |
| Claude Opus 4.6 | Anthropic | ₽677/M | ₽3 384/M | ₽30 456 |
| Claude Opus 4.7 | Anthropic | ₽677/M | ₽3 384/M | ₽30 456 |
| Claude Opus 5 | Anthropic | ₽677/M | ₽3 384/M | ₽30 456 |
| GPT-6 Astra (batch) | OpenAI | ₽677/M | ₽3 384/M | ₽30 456 |
| GPT-6 Astra Pro (batch) | OpenAI | ₽677/M | ₽3 384/M | ₽30 456 |
| GPT-5.4 Image 2 | OpenAI | ₽1 083/M | ₽2 030/M | ₽31 810 |
| Gpt 5.5 | OpenAI | ₽677/M | ₽4 061/M | ₽33 840 |
| GPT Chat Latest | OpenAI | ₽677/M | ₽4 061/M | ₽33 840 |
| GPT-5 Image | OpenAI | ₽1 354/M | ₽1 354/M | ₽33 840 |
| gpt 4 turbo | OpenAI | ₽1 354/M | ₽4 061/M | ₽47 376 |
| claude fable 5 | Anthropic | ₽1 354/M | ₽6 768/M | ₽60 912 |
| Claude Fable 5 1 | Anthropic | ₽1 354/M | ₽6 768/M | ₽60 912 |
| Claude Fable Latest | Anthropic | ₽1 354/M | ₽6 768/M | ₽60 912 |
| Gpt 6 Astra | OpenAI | ₽1 354/M | ₽6 768/M | ₽60 912 |
| gpt 6 astra pro | OpenAI | ₽1 354/M | ₽6 768/M | ₽60 912 |
| GPT Astra Latest | OpenAI | ₽1 354/M | ₽6 768/M | ₽60 912 |
| O1 | OpenAI | ₽2 030/M | ₽8 122/M | ₽81 216 |
| Claude Opus 4 | Anthropic | ₽2 030/M | ₽10 152/M | ₽91 368 |
| o3 Pro | OpenAI | ₽2 707/M | ₽10 829/M | ₽108 288 |
| gpt 4 | OpenAI | ₽4 061/M | ₽8 122/M | ₽121 824 |
| GPT-5 Pro | OpenAI | ₽2 030/M | ₽16 243/M | ₽121 824 |
| GPT-5.2 Pro | OpenAI | ₽2 843/M | ₽22 741/M | ₽170 554 |
| gpt 5.4 pro | OpenAI | ₽4 061/M | ₽24 365/M | ₽203 040 |
| Gpt 5.5 Pro | OpenAI | ₽4 061/M | ₽24 365/M | ₽203 040 |
| o1-pro | OpenAI | ₽20 304/M | ₽81 216/M | ₽812 161 |
Частые вопросы
- Где смотреть цены Neurly?
- Публично: GET https://neurly.ru/v1/models — поле pricing_rub; витрина https://neurly.ru/models.
- Какой base URL у Neurly?
- https://neurly.ru/v1 для OpenAI SDK; для Claude Code — https://neurly.ru.
- Нужен ли VPN?
- Нет — сервис ориентирован на доступ из РФ с оплатой в рублях.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
Neurly предлагает 372 моделей AI API. Средняя цена — ₽419/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.55/M (pplx-embed-v1-0.6b).
Сравните цены на pplx-embed-v1-0.6b , all-MiniLM-L12-v2 , all-MiniLM-L6-v2 , all-mpnet-base-v2 и bge-base-en-v1.5 у других провайдеров или в каталоге агрегаторов . Данные обновлены 01.10.2026.