RU OpenRouter
Сайт ↗OpenRouter-совместимый API с ценами в рублях
- Моделей
- 396
- Средняя цена
- ₽597/M
- Регион
- Россия · сайт на русский
- Оплата
- Рубли (₽)
- Биллинг
- за токены
- API
- OpenAI-compatible
/v1/models требует ключ; на AI-APISHKA цены из HTML /v2/models · ingest_trust: scraping — селекторы могут меняться
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
396 моделей
Текст и чат
оплата за токены · 396
▼
Текст и чат
оплата за токены · 396
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.65/M | ₽0.65/M | ₽13 |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.81/M | ₽0.81/M | ₽16 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.81/M | ₽0.81/M | ₽16 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.81/M | ₽0.81/M | ₽16 |
| bge-base-en-v1.5 | baai | ₽0.81/M | ₽0.81/M | ₽16 |
| E5-Base-v2 | Intfloat | ₽0.81/M | ₽0.81/M | ₽16 |
| GTE-Base | Thenlper | ₽0.81/M | ₽0.81/M | ₽16 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.81/M | ₽0.81/M | ₽16 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.81/M | ₽0.81/M | ₽16 |
| Bge M3 | baai | ₽1.63/M | ₽1.63/M | ₽33 |
| bge-large-en-v1.5 | baai | ₽1.63/M | ₽1.63/M | ₽33 |
| E5-Large-v2 | Intfloat | ₽1.63/M | ₽1.63/M | ₽33 |
| GTE-Large | Thenlper | ₽1.63/M | ₽1.63/M | ₽33 |
| Multilingual-E5-Large | Intfloat | ₽1.63/M | ₽1.63/M | ₽33 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽1.63/M | ₽1.63/M | ₽33 |
| Ling-2.6-flash | inclusionAI | ₽1.10/M | ₽3.30/M | ₽39 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽3.26/M | ₽3.26/M | ₽65 |
| Span-01 | Respan | ₽3.26/M | ₽3.26/M | ₽65 |
| text embedding 3 small | OpenAI | ₽3.26/M | ₽3.26/M | ₽65 |
| voyage-4-lite | VoyageAI by MongoDB | ₽3.26/M | ₽3.26/M | ₽65 |
| Ling 3.0 Flash VL | inclusionAI | ₽2.31/M | ₽6.78/M | ₽80 |
| Mistral Nemo | Mistral | ₽2.93/M | ₽4.88/M | ₽83 |
| pplx embed v1 4b | pplx embed v1 4b | ₽4.88/M | ₽4.88/M | ₽98 |
| llama 3.1 8b | Meta | ₽3.26/M | ₽6.51/M | ₽98 |
| gpt oss 20b | OpenAI | ₽2.20/M | ₽11.00/M | ₽99 |
| Nex-N2-Mini | nex agi | ₽2.75/M | ₽11.00/M | ₽110 |
| Nex-N2.5-Mini | Nex AGI | ₽2.75/M | ₽11.00/M | ₽110 |
| Ling 3.0 Flash | inclusionAI | ₽3.42/M | ₽10.26/M | ₽120 |
| Jev 1.13 | TypeSafe | ₽6.84/M | ₽6.84/M | ₽137 |
| Kev 4B | Jared Palmer | ₽6.84/M | ₽6.84/M | ₽137 |
| Tev1 4B Experimental | Together | ₽6.84/M | ₽6.84/M | ₽137 |
| Granite 4.0 Micro | IBM | ₽2.77/M | ₽18.23/M | ₽147 |
| gpt oss 120b | OpenAI | ₽3.30/M | ₽18.70/M | ₽160 |
| Solar Decide | Upstage | ₽8.14/M | ₽8.14/M | ₽163 |
| GPT-5 Nano | OpenAI | ₽2.75/M | ₽22.00/M | ₽165 |
| Granite 4.1 8B | ibm granite | ₽5.50/M | ₽11.00/M | ₽165 |
| Mercury 2.5 | Inception | ₽4.40/M | ₽16.50/M | ₽171 |
| Llama 3 8B Lunaris | Meta | ₽6.51/M | ₽8.14/M | ₽171 |
| arcee ai · trinity-mini-20251201 | arcee ai | ₽4.95/M | ₽16.50/M | ₽182 |
| Solar Pro 4 | Upstage | ₽4.88/M | ₽19.54/M | ₽195 |
| voyage-4 | VoyageAI by MongoDB | ₽9.77/M | ₽9.77/M | ₽195 |
| Gemma 3n E4B It | gemma 3n e4b it | ₽6.60/M | ₽13.20/M | ₽198 |
| Laguna XS 2.1 | Poolside | ₽6.60/M | ₽13.20/M | ₽198 |
| qwen3.7 flash | Qwen | ₽4.88/M | ₽21.16/M | ₽203 |
| gemma 4 26b a4b it | ₽4.62/M | ₽24.20/M | ₽213 | |
| Schematron V2 Turbo | Inference.net | ₽4.88/M | ₽24.42/M | ₽220 |
| Mistral Small 3 | Mistral | ₽8.14/M | ₽13.02/M | ₽228 |
| Amazon Nova Micro | nova micro | ₽5.70/M | ₽22.79/M | ₽228 |
| Ling 3.0 Flash Fin | inclusionAI | ₽6.60/M | ₽19.80/M | ₽231 |
| Command R7B (12-2024) | Cohere | ₽6.10/M | ₽24.42/M | ₽244 |
| Gemma 3 4B | ₽8.14/M | ₽16.28/M | ₽244 | |
| Llama 3.2 1B Preview | Meta | ₽4.40/M | ₽32.72/M | ₽252 |
| Nemotron 3.5 Lightning | NVIDIA | ₽6.35/M | ₽29.30/M | ₽274 |
| gemma 3 12b it | ₽8.14/M | ₽24.42/M | ₽285 | |
| Hy-MT2-1.8B | Tencent | ₽7.16/M | ₽28.82/M | ₽287 |
| Laguna S 2.1 | Poolside | ₽9.90/M | ₽19.80/M | ₽297 |
| Nex-N2.5-Pro | Nex AGI | ₽8.25/M | ₽27.50/M | ₽303 |
| qwen3.5 9b | Qwen | ₽11.00/M | ₽16.50/M | ₽303 |
| Glm 5.3 Flash | glm 5.3 flash | ₽3.26/M | ₽48.84/M | ₽309 |
| qwen3 30b a3b instruct 2507 | Qwen | ₽7.84/M | ₽31.43/M | ₽314 |
| gemini 2.5 flash lite | ₽8.14/M | ₽32.56/M | ₽326 | |
| Mistral Embed 2312 | Mistral | ₽16.28/M | ₽16.28/M | ₽326 |
| Nemotron 3 Nano 30B A3B | NVIDIA | ₽8.14/M | ₽32.56/M | ₽326 |
| Solar Mini 4 | Upstage | ₽8.14/M | ₽32.56/M | ₽326 |
| Text Embedding ADA | text embedding ada | ₽16.28/M | ₽16.28/M | ₽326 |
| poolside · laguna-xs.2-20260421 | poolside | ₽11.00/M | ₽22.00/M | ₽330 |
| Phi 4 | Microsoft | ₽11.40/M | ₽22.79/M | ₽342 |
| MythoMax 13B | gryphe | ₽13.02/M | ₽17.91/M | ₽350 |
| Schematron V2 Small | Inference.net | ₽8.14/M | ₽37.44/M | ₽350 |
| Gpt 6 Luna | OpenAI | ₽8.14/M | ₽40.70/M | ₽366 |
| gpt 6 luna pro | OpenAI | ₽8.14/M | ₽40.70/M | ₽366 |
| gemma 4 31b it | ₽9.90/M | ₽37.40/M | ₽385 | |
| llama 3 8b | Meta | ₽15.40/M | ₽15.40/M | ₽385 |
| gemma 3 27b it | ₽13.02/M | ₽26.05/M | ₽391 | |
| Nova Lite | nova lite | ₽9.77/M | ₽39.07/M | ₽391 |
| voyage-4-large | VoyageAI by MongoDB | ₽19.54/M | ₽19.54/M | ₽391 |
| voyage-code-4 | VoyageAI by MongoDB | ₽19.54/M | ₽19.54/M | ₽391 |
| voyage-multimodal-3.5 | VoyageAI by MongoDB | ₽19.54/M | ₽19.54/M | ₽391 |
| Granite 4.2 8B | IBM | ₽9.77/M | ₽40.70/M | ₽399 |
| Ministral 3 3B 2512 | Mistral | ₽16.28/M | ₽16.28/M | ₽407 |
| Mistral-Small-3.2-24B-Instruct-2506 | Mistral | ₽12.21/M | ₽32.56/M | ₽407 |
| Nemotron 3 Super | NVIDIA | ₽9.35/M | ₽44.00/M | ₽407 |
| rekaai · reka-edge-2603 | rekaai | ₽16.28/M | ₽16.28/M | ₽407 |
| text embedding 3 large | OpenAI | ₽21.16/M | ₽21.16/M | ₽423 |
| Qwen3.5 Flash | alibaba | ₽10.58/M | ₽42.33/M | ₽423 |
| Llama 3.2 3B | Meta | ₽8.14/M | ₽53.72/M | ₽431 |
| Qwen 3 Coder 30B A3B Instruct | Qwen | ₽11.40/M | ₽43.96/M | ₽448 |
| MiMo-V2.6-Flash | Xiaomi | ₽11.40/M | ₽45.58/M | ₽456 |
| Hy-MT2-30B-A3B | Tencent | ₽12.05/M | ₽48.03/M | ₽481 |
| Hy-MT2-7B | Tencent | ₽12.05/M | ₽48.03/M | ₽481 |
| Qwen3 32B | Qwen | ₽13.02/M | ₽45.58/M | ₽488 |
| gpt-oss-safeguard-20b | OpenAI | ₽12.21/M | ₽48.84/M | ₽488 |
| Muse Spark 1.2 Contributor | Meta | ₽16.28/M | ₽32.56/M | ₽488 |
| Muse Spark 1.3 Contributor | Meta | ₽16.28/M | ₽32.56/M | ₽488 |
| Qwen2.5 7B Instruct | Qwen | ₽16.28/M | ₽32.56/M | ₽488 |
| Reka Flash 3 | rekaai | ₽16.28/M | ₽32.56/M | ₽488 |
| Seed 1.6 Flash | ByteDance Seed | ₽12.21/M | ₽48.84/M | ₽488 |
| UI-TARS 7B | ByteDance | ₽16.28/M | ₽32.56/M | ₽488 |
| Codestral Embed 2505 | Mistral | ₽24.42/M | ₽24.42/M | ₽488 |
| gemini embedding exp | ₽24.42/M | ₽24.42/M | ₽488 | |
| Qwen3 14B | Qwen | ₽16.28/M | ₽35.82/M | ₽505 |
| Hermes 4 70B | nousresearch | ₽14.30/M | ₽44.00/M | ₽506 |
| Ling-2.6-1T | inclusionAI | ₽8.25/M | ₽68.75/M | ₽509 |
| Ring-2.6-1T | inclusionAI | ₽8.25/M | ₽68.75/M | ₽509 |
| glm 4.7 flash | Z.ai | ₽9.77/M | ₽65.12/M | ₽521 |
| Nemotron 3.5 Content Safety | NVIDIA | ₽22.00/M | ₽22.00/M | ₽550 |
| qwen3 235b a22b | Qwen | ₽14.24/M | ₽56.98/M | ₽570 |
| deepseek v4.1 flash | DeepSeek | ₽4.07/M | ₽97.68/M | ₽570 |
| Llama 4 Scout 17b 16e Instruct | Meta | ₽16.28/M | ₽48.84/M | ₽570 |
| Step 3.5 Flash | StepFun | ₽16.28/M | ₽48.84/M | ₽570 |
| Voxtral Small 24B 2507 | Mistral | ₽16.28/M | ₽48.84/M | ₽570 |
| MiMo-V2.5 | Xiaomi | ₽19.37/M | ₽38.75/M | ₽581 |
| Llama 3.3 70B | Meta | ₽16.28/M | ₽52.10/M | ₽586 |
| Olmo 3 32B Think | allenai | ₽16.50/M | ₽55.00/M | ₽605 |
| Ministral 3 8B 2512 | Mistral | ₽24.42/M | ₽24.42/M | ₽611 |
| Ternary Bonsai 2 27B | PrismML | ₽12.21/M | ₽81.40/M | ₽651 |
| Gemini Embedding 2 | ₽32.56/M | ₽32.56/M | ₽651 | |
| Gpt 4.1 Nano | OpenAI | ₽16.28/M | ₽65.12/M | ₽651 |
| Seed-2.0-Mini | ByteDance Seed | ₽16.28/M | ₽65.12/M | ₽651 |
| GPT-4o Mini | OpenAI | ₽16.50/M | ₽66.00/M | ₽660 |
| KAT-Coder-Air V2.5 | kwaipilot | ₽16.50/M | ₽66.00/M | ₽660 |
| qwen3 vl 32b instruct | Qwen | ₽16.93/M | ₽67.72/M | ₽677 |
| Llama Guard 4 12B | Meta | ₽29.30/M | ₽29.30/M | ₽733 |
| qwen3.6 35b a3b | Qwen | ₽8.14/M | ₽114/M | ₽733 |
| Qwen3 8B | Qwen | ₽19.05/M | ₽74.07/M | ₽751 |
| qwen3 vl 8b instruct | Qwen | ₽19.05/M | ₽74.07/M | ₽751 |
| Qwen3 30B A3B | Qwen | ₽19.54/M | ₽81.40/M | ₽798 |
| Gpt 5.6 Luna | OpenAI | ₽16.28/M | ₽97.68/M | ₽814 |
| gpt 5.6 luna pro | OpenAI | ₽16.28/M | ₽97.68/M | ₽814 |
| Ministral 3 14B 2512 | Mistral | ₽32.56/M | ₽32.56/M | ₽814 |
| Gpt 5.4 Nano | OpenAI | ₽16.28/M | ₽102/M | ₽834 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽21.16/M | ₽84.66/M | ₽846 |
| Hy3 | Tencent | ₽21.16/M | ₽86.28/M | ₽855 |
| Qwen3.5-35B-A3B | Qwen | ₽13.02/M | ₽122/M | ₽871 |
| qwen3.8 flash | Qwen | ₽24.42/M | ₽76.52/M | ₽871 |
| Qwen3.8 Omni Flash | Qwen | ₽24.42/M | ₽76.52/M | ₽871 |
| hunyuan a13b | hunyuan a13b | ₽22.79/M | ₽92.80/M | ₽920 |
| minimax m2.7 | MiniMax | ₽23.10/M | ₽92.40/M | ₽924 |
| deepseek v3.2 | DeepSeek | ₽33.99/M | ₽50.40/M | ₽932 |
| Command R | command r | ₽24.42/M | ₽97.68/M | ₽977 |
| Mistral Small 4 | Mistral | ₽24.42/M | ₽97.68/M | ₽977 |
| Solar Pro 3 | Upstage | ₽24.42/M | ₽97.68/M | ₽977 |
| Trinity Large Thinking | Arcee AI | ₽27.50/M | ₽88.00/M | ₽990 |
| Qwen Plus | Qwen | ₽28.60/M | ₽85.80/M | ₽1 001 |
| Gemini 3.1 Flash Lite | ₽20.35/M | ₽122/M | ₽1 017 | |
| minimax m3 | MiniMax | ₽25.30/M | ₽106/M | ₽1 034 |
| qwen3 coder next | Qwen | ₽19.54/M | ₽130/M | ₽1 042 |
| deepseek v4 flash | DeepSeek | ₽0.73/M | ₽208/M | ₽1 056 |
| Nex-N2-Pro | nex agi | ₽27.50/M | ₽110/M | ₽1 100 |
| GLM 4.5 Air | Z.ai | ₽21.16/M | ₽138/M | ₽1 115 |
| mistralai · mistral-saba-2502 | Mistral | ₽32.56/M | ₽97.68/M | ₽1 140 |
| llama 4 maverick 17b 128e instruct | Meta | ₽30.52/M | ₽106/M | ₽1 142 |
| qwen3 next 80b a3b instruct 2509 | Qwen | ₽14.65/M | ₽179/M | ₽1 188 |
| GPT-5 Mini | OpenAI | ₽20.35/M | ₽163/M | ₽1 221 |
| DeepSeek V4 Flash Vision Exp | DeepSeek | ₽35.10/M | ₽105/M | ₽1 229 |
| Claude 3 Haiku | Anthropic | ₽27.50/M | ₽138/M | ₽1 238 |
| Muse Glimmer 30B | Meta | ₽33.00/M | ₽121/M | ₽1 265 |
| Weaver (alpha) | Mancer | ₽44.00/M | ₽82.50/M | ₽1 293 |
| KAT-Coder-Pro V2 | kwaipilot | ₽33.00/M | ₽132/M | ₽1 320 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽32.56/M | ₽143/M | ₽1 368 |
| Gemini 3.7 Flash | ₽30.52/M | ₽153/M | ₽1 374 | |
| Cydonia 24B V4.1 | TheDrummer | ₽48.84/M | ₽81.40/M | ₽1 384 |
| Uncensored | Venice | ₽32.56/M | ₽147/M | ₽1 384 |
| Mercury 2 | Inception | ₽40.70/M | ₽122/M | ₽1 425 |
| Qwen3 Coder Flash | Qwen | ₽31.75/M | ₽159/M | ₽1 429 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽24.42/M | ₽195/M | ₽1 465 |
| MiMo-V2.5-Pro | Xiaomi | ₽49.57/M | ₽99.15/M | ₽1 487 |
| qwen 2.5 72b instruct | Qwen | ₽58.61/M | ₽65.12/M | ₽1 498 |
| Gemini 2.5 Flash | ₽24.42/M | ₽204/M | ₽1 506 | |
| gemini 2.5 flash image | ₽24.42/M | ₽204/M | ₽1 506 | |
| Gemini 3.5 Flash Lite | ₽24.42/M | ₽204/M | ₽1 506 | |
| qwen3.6 flash | Qwen | ₽30.52/M | ₽183/M | ₽1 526 |
| MiniMax-01 | MiniMax | ₽32.56/M | ₽179/M | ₽1 547 |
| deepseek chat v3.1 | DeepSeek | ₽40.70/M | ₽155/M | ₽1 587 |
| Step 3.7 Flash | StepFun | ₽32.56/M | ₽187/M | ₽1 587 |
| mistralai · Mistral-Small-3.1-24B-Instruct-2503 | Mistral | ₽57.14/M | ₽90.35/M | ₽1 595 |
| DeepSeek Chat (V3) | DeepSeek | ₽40.70/M | ₽163/M | ₽1 628 |
| llama 3.1 70b | Meta | ₽65.12/M | ₽65.12/M | ₽1 628 |
| UnslopNemo 12B | TheDrummer | ₽65.12/M | ₽65.12/M | ₽1 628 |
| Inkling Small | Thinking Machines | ₽49.50/M | ₽132/M | ₽1 650 |
| MiniMax M2 | MiniMax | ₽41.51/M | ₽166/M | ₽1 660 |
| ReMM SLERP 13B | undi95 | ₽56.98/M | ₽106/M | ₽1 669 |
| DeepSeek V3.1 Terminus | DeepSeek | ₽43.96/M | ₽163/M | ₽1 693 |
| Perceptron Mk1 | Perceptron | ₽24.42/M | ₽244/M | ₽1 709 |
| Perceptron Mk1.5 | Perceptron | ₽24.42/M | ₽244/M | ₽1 709 |
| Codestral 2508 | Mistral | ₽48.84/M | ₽147/M | ₽1 709 |
| GLM 4.6 | Z.ai | ₽48.84/M | ₽147/M | ₽1 709 |
| MiniMax M2.5 | MiniMax | ₽43.96/M | ₽176/M | ₽1 758 |
| Qwen3.5-27B | Qwen | ₽31.75/M | ₽254/M | ₽1 905 |
| Mistral Large 3 2512 | Mistral | ₽55.00/M | ₽165/M | ₽1 925 |
| LongCat 2.0 | Meituan | ₽48.84/M | ₽195/M | ₽1 954 |
| MiniMax M2-her | MiniMax | ₽48.84/M | ₽195/M | ₽1 954 |
| MiniMax M2.1 | MiniMax | ₽48.84/M | ₽195/M | ₽1 954 |
| Devstral 2 2512 | Mistral | ₽44.00/M | ₽220/M | ₽1 980 |
| MiMo-V2.6-Pro | Xiaomi | ₽67.28/M | ₽135/M | ₽2 018 |
| gemini 3 flash | ₽40.70/M | ₽244/M | ₽2 035 | |
| gemini 3.1 flash lite image | ₽40.70/M | ₽244/M | ₽2 035 | |
| Gpt 5.4 Mini | OpenAI | ₽41.25/M | ₽248/M | ₽2 063 |
| qwen3.7 plus | Qwen | ₽52.10/M | ₽208/M | ₽2 084 |
| qwen3.5 plus | qwen3.5 plus | ₽42.33/M | ₽254/M | ₽2 116 |
| qwen3 coder 480b a35b 07 25 | Qwen | ₽35.82/M | ₽293/M | ₽2 182 |
| Command A+ | Cohere | ₽48.84/M | ₽244/M | ₽2 198 |
| deepseek r1 distill llama 70b | DeepSeek | ₽88.00/M | ₽88.00/M | ₽2 200 |
| Glm 5.3 Flashx | glm 5.3 flashx | ₽60.24/M | ₽204/M | ₽2 222 |
| aion labs · aion-1.0-mini | aion labs | ₽77.00/M | ₽154/M | ₽2 310 |
| Nemotron 3 Ultra | NVIDIA | ₽55.00/M | ₽242/M | ₽2 310 |
| ERNIE 4.5 VL 424B A47B | Baidu | ₽68.38/M | ₽204/M | ₽2 385 |
| Glm 5.3 | glm 5.3 | ₽9.77/M | ₽439/M | ₽2 388 |
| GPT-5.1-Codex-Mini | OpenAI | ₽40.70/M | ₽326/M | ₽2 442 |
| Seed 1.6 | ByteDance Seed | ₽40.70/M | ₽326/M | ₽2 442 |
| Seed-2.0-Lite | ByteDance Seed | ₽40.70/M | ₽326/M | ₽2 442 |
| Skyfall 36B V2 | TheDrummer | ₽89.54/M | ₽130/M | ₽2 442 |
| WizardLM-2 8x22B | microsoft | ₽101/M | ₽101/M | ₽2 524 |
| Qwen3.5-122B-A10B | Qwen | ₽42.33/M | ₽339/M | ₽2 540 |
| Glm 5.2 | glm 5.2 | ₽12.54/M | ₽463/M | ₽2 564 |
| qwen3.6 27b | Qwen | ₽48.84/M | ₽326/M | ₽2 605 |
| Gpt 4.1 Mini | OpenAI | ₽65.12/M | ₽260/M | ₽2 605 |
| Gemma 2 27B | ₽106/M | ₽106/M | ₽2 645 | |
| Qwen3.6 Plus | Qwen | ₽52.91/M | ₽317/M | ₽2 645 |
| Glm 4.7 | glm 4.7 | ₽65.12/M | ₽285/M | ₽2 727 |
| sao10k · l3.3-euryale-70b-v2.3 | sao10k | ₽106/M | ₽122/M | ₽2 727 |
| Gemini 3.6 Flash | ₽61.05/M | ₽305/M | ₽2 747 | |
| Gemini 3.8 Flash | ₽61.05/M | ₽305/M | ₽2 747 | |
| Hermes 3 70B Instruct | Nous | ₽114/M | ₽114/M | ₽2 849 |
| gpt 3.5 turbo | OpenAI | ₽81.40/M | ₽244/M | ₽2 849 |
| Kimi K2.6 | kimi k2.6 | ₽70.68/M | ₽298/M | ₽2 902 |
| Mistral Medium 3 | Mistral | ₽65.12/M | ₽326/M | ₽2 930 |
| Mistral Medium 3.1 | Mistral | ₽65.12/M | ₽326/M | ₽2 930 |
| Qwen2.5 Coder 32B Instruct | Qwen | ₽107/M | ₽163/M | ₽2 963 |
| Nova 2 Lite | amazon | ₽48.84/M | ₽407/M | ₽3 012 |
| MiniMax M1 | MiniMax | ₽65.12/M | ₽358/M | ₽3 093 |
| qwen3.5 397b a17b | Qwen | ₽63.49/M | ₽381/M | ₽3 175 |
| Kimi K2.5 | MoonshotAI | ₽73.26/M | ₽366/M | ₽3 297 |
| deepseek r1 | DeepSeek | ₽81.40/M | ₽350/M | ₽3 378 |
| Deepseek V4 Pro | DeepSeek | ₽27.25/M | ₽570/M | ₽3 394 |
| Aion 3.5 Mini | AionLabs | ₽114/M | ₽228/M | ₽3 419 |
| Aion-3.0-Mini | AionLabs | ₽114/M | ₽228/M | ₽3 419 |
| GLM 4.5V | Z.ai | ₽97.68/M | ₽293/M | ₽3 419 |
| Qwen2.5 VL 72B Instruct | Qwen | ₽130/M | ₽163/M | ₽3 419 |
| Llama 3.1 Euryale 70B v2.2 | Meta | ₽138/M | ₽138/M | ₽3 460 |
| GLM-5 | glm 5 | ₽97.68/M | ₽313/M | ₽3 517 |
| Morph V3 Fast | Morph | ₽130/M | ₽195/M | ₽3 582 |
| qwen3.8 27b | Qwen | ₽4.04/M | ₽708/M | ₽3 622 |
| Seed 2.1 Turbo | ByteDance Seed | ₽81.40/M | ₽407/M | ₽3 663 |
| Kimi K2 0711 | MoonshotAI | ₽92.80/M | ₽374/M | ₽3 728 |
| switchpoint · router | switchpoint | ₽93.50/M | ₽374/M | ₽3 740 |
| GLM 4.5 | Z.ai | ₽97.68/M | ₽358/M | ₽3 744 |
| Relace Apply 3 | Relace | ₽138/M | ₽204/M | ₽3 785 |
| Aion-2.0 | AionLabs | ₽130/M | ₽260/M | ₽3 907 |
| Aion-RP 1.0 (8B) | AionLabs | ₽130/M | ₽260/M | ₽3 907 |
| gpt audio mini | OpenAI | ₽97.68/M | ₽391/M | ₽3 907 |
| Nano Banana 2 (Gemini 3.1 Flash Image) | ₽81.40/M | ₽488/M | ₽4 070 | |
| Seed-2.0-Code | ByteDance Seed | ₽81.40/M | ₽488/M | ₽4 070 |
| Hermes 3 405B Instruct | Nous | ₽163/M | ₽163/M | ₽4 070 |
| Sonar | perplexity | ₽163/M | ₽163/M | ₽4 070 |
| gemini 2.5 pro | ₽68.75/M | ₽550/M | ₽4 125 | |
| Inkling | Thinking Machines | ₽105/M | ₽446/M | ₽4 318 |
| Morph V3 Large | Morph | ₽147/M | ₽309/M | ₽4 477 |
| Hy4 preview | Tencent | ₽136/M | ₽407/M | ₽4 751 |
| qwen3 coder plus | Qwen | ₽106/M | ₽529/M | ₽4 762 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽120/M | ₽482/M | ₽4 819 |
| GLM 5V Turbo | Z.ai | ₽132/M | ₽440/M | ₽4 840 |
| Grok Build 0.1 | xAI | ₽163/M | ₽326/M | ₽4 884 |
| Kimi K2.7 Code | kimi k2.7 code | ₽107/M | ₽554/M | ₽4 917 |
| gpt 5.6 sol pro | OpenAI | ₽110/M | ₽550/M | ₽4 950 |
| Nova Pro | nova pro | ₽130/M | ₽521/M | ₽5 210 |
| Pareto 26.10 Preview | unbiased | ₽130/M | ₽521/M | ₽5 210 |
| Glm 5.1 | glm 5.1 | ₽157/M | ₽494/M | ₽5 609 |
| Hermes 4 405B | Nous | ₽163/M | ₽488/M | ₽5 698 |
| Mai Image 2.6 Flash | mai image 2.6 flash | ₽285/M | ₽285/M | ₽5 698 |
| Relace Search | relace | ₽163/M | ₽488/M | ₽5 698 |
| Qwen3 Max | qwen3 max | ₽127/M | ₽635/M | ₽5 714 |
| Gpt 5.1 | OpenAI | ₽102/M | ₽814/M | ₽6 105 |
| Gemini 3.5 Flash | ₽122/M | ₽733/M | ₽6 105 | |
| grok 4.20 | xAI | ₽204/M | ₽407/M | ₽6 105 |
| Grok 4.20 Multi-Agent | xAI | ₽204/M | ₽407/M | ₽6 105 |
| grok 4.3 | xAI | ₽204/M | ₽407/M | ₽6 105 |
| sakana namazu | sakana namazu | ₽155/M | ₽651/M | ₽6 349 |
| Palmyra X5 | Writer | ₽97.68/M | ₽977/M | ₽6 838 |
| Gpt 5.6 Sol | OpenAI | ₽158/M | ₽792/M | ₽7 128 |
| glm 5 turbo | Z.ai | ₽195/M | ₽651/M | ₽7 163 |
| O3 Mini | OpenAI | ₽179/M | ₽716/M | ₽7 163 |
| o3 Mini High | OpenAI | ₽179/M | ₽716/M | ₽7 163 |
| O4 Mini | OpenAI | ₽179/M | ₽716/M | ₽7 163 |
| o4 mini high | OpenAI | ₽179/M | ₽716/M | ₽7 163 |
| Claude Haiku 4.5 | Anthropic | ₽163/M | ₽814/M | ₽7 326 |
| Gpt 6 Sol | OpenAI | ₽163/M | ₽814/M | ₽7 326 |
| gpt 6 sol pro | OpenAI | ₽163/M | ₽814/M | ₽7 326 |
| gpt 6.1 sol | OpenAI | ₽163/M | ₽814/M | ₽7 326 |
| GPT-6.1 Sol Pro | OpenAI | ₽163/M | ₽814/M | ₽7 326 |
| Muse Spark 1.1 | Meta | ₽204/M | ₽692/M | ₽7 529 |
| Muse Spark 1.2 | Meta | ₽204/M | ₽692/M | ₽7 529 |
| Muse Spark 1.3 | Meta | ₽204/M | ₽692/M | ₽7 529 |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽152/M | ₽911/M | ₽7 590 | |
| Qwen3.8 2.4T A95B | Qwen | ₽220/M | ₽660/M | ₽7 700 |
| qwen3.8 max | Qwen | ₽220/M | ₽660/M | ₽7 700 |
| Gemini 3.1 Pro | ₽163/M | ₽977/M | ₽8 140 | |
| gpt 4o mini transcribe | OpenAI | ₽204/M | ₽814/M | ₽8 140 |
| Gpt 5.6 Terra | OpenAI | ₽163/M | ₽977/M | ₽8 140 |
| gpt 5.6 terra pro | OpenAI | ₽163/M | ₽977/M | ₽8 140 |
| sao10k · l3.1-70b-hanami-x1 | sao10k | ₽330/M | ₽330/M | ₽8 250 |
| Qwen3.6 Max | qwen3.6 max | ₽167/M | ₽1 003/M | ₽8 360 |
| qwen3.7 max | Qwen | ₽240/M | ₽720/M | ₽8 405 |
| Gpt 5.2 | OpenAI | ₽142/M | ₽1 140/M | ₽8 547 |
| Jamba Large 1.7 | AI21 | ₽220/M | ₽880/M | ₽8 800 |
| Kimi K3 | kimi k3 | ₽99.84/M | ₽1 518/M | ₽9 587 |
| gpt 5 image mini | OpenAI | ₽407/M | ₽326/M | ₽9 768 |
| Whisper Large V3 Turbo | OpenAI | ₽505/M | ₽505/M | ₽10 110 |
| Gpt 5.4 | OpenAI | ₽204/M | ₽1 221/M | ₽10 175 |
| gpt image 1 mini | OpenAI | ₽407/M | ₽407/M | ₽10 175 |
| nemotron-3.5-asr-streaming-multilingual-0.6b | nemotron 3 5 asr streaming multilingual 0 6b | ₽542/M | ₽542/M | ₽10 842 |
| qwen3-asr-0.6b | qwen3 asr 0 6b | ₽542/M | ₽542/M | ₽10 842 |
| Mistral Medium 3.5 | Mistral | ₽244/M | ₽1 221/M | ₽10 989 |
| Fugu Max | Sakana | ₽326/M | ₽977/M | ₽11 396 |
| grok 4.5 | xAI | ₽326/M | ₽977/M | ₽11 396 |
| Grok 4.6 | xAI | ₽326/M | ₽977/M | ₽11 396 |
| Grok 4.7 | xAI | ₽326/M | ₽977/M | ₽11 396 |
| Mistral Large | Mistral | ₽326/M | ₽977/M | ₽11 396 |
| Mistral Large 2407 | Mistral | ₽326/M | ₽977/M | ₽11 396 |
| Mixtral 8x22B Instruct | Mistral | ₽326/M | ₽977/M | ₽11 396 |
| GPT-5.3 Chat | OpenAI | ₽193/M | ₽1 540/M | ₽11 550 |
| GPT-5 | OpenAI | ₽204/M | ₽1 628/M | ₽12 210 |
| GPT-5.1-Codex | OpenAI | ₽204/M | ₽1 628/M | ₽12 210 |
| GPT-5.1-Codex-Max | OpenAI | ₽204/M | ₽1 628/M | ₽12 210 |
| Magnum v4 72B | anthracite org | ₽407/M | ₽814/M | ₽12 210 |
| Gpt 4.1 | OpenAI | ₽326/M | ₽1 302/M | ₽13 024 |
| GPT-3.5 Turbo 16k | OpenAI | ₽488/M | ₽651/M | ₽13 024 |
| O3 | OpenAI | ₽326/M | ₽1 302/M | ₽13 024 |
| sonar deep research | perplexity | ₽326/M | ₽1 302/M | ₽13 024 |
| sonar reasoning pro | perplexity | ₽326/M | ₽1 302/M | ₽13 024 |
| aion labs · aion-1.0 | aion labs | ₽440/M | ₽880/M | ₽13 200 |
| Pareto | unbiased | ₽407/M | ₽1 221/M | ₽14 245 |
| Claude Sonnet 5 | Anthropic | ₽326/M | ₽1 628/M | ₽14 652 |
| Claude Sonnet 5.5 | Anthropic | ₽326/M | ₽1 628/M | ₽14 652 |
| Aion 3.5 | AionLabs | ₽488/M | ₽977/M | ₽14 652 |
| Aion-3.0 | AionLabs | ₽488/M | ₽977/M | ₽14 652 |
| MAI Image 2.5 Pro (Text to Image) | microsoft | ₽759/M | ₽759/M | ₽15 180 |
| zyphra · zonos-v0.1-hybrid | zyphra | ₽770/M | ₽770/M | ₽15 400 |
| Command A | Cohere | ₽407/M | ₽1 628/M | ₽16 280 |
| Command R Plus | command r plus | ₽407/M | ₽1 628/M | ₽16 280 |
| Gemini 3.1 Pro Preview Custom Tools | ₽326/M | ₽1 954/M | ₽16 280 | |
| gemini-3.5-transcribe | ₽326/M | ₽1 954/M | ₽16 280 | |
| GLM 5.3 Prime | Z.ai | ₽456/M | ₽1 433/M | ₽16 280 |
| gpt 4o transcribe | OpenAI | ₽407/M | ₽1 628/M | ₽16 280 |
| gpt audio | OpenAI | ₽407/M | ₽1 628/M | ₽16 280 |
| GPT-4o | OpenAI | ₽407/M | ₽1 628/M | ₽16 280 |
| Mai Image 2.5 Text to Image | microsoft | ₽814/M | ₽814/M | ₽16 280 |
| Mai Image 2.6 | mai image 2.6 | ₽814/M | ₽814/M | ₽16 280 |
| gpt 5.3 codex | OpenAI | ₽285/M | ₽2 279/M | ₽17 094 |
| GPT-5.2 Chat | OpenAI | ₽285/M | ₽2 279/M | ₽17 094 |
| GPT-5.2-Codex | OpenAI | ₽285/M | ₽2 279/M | ₽17 094 |
| Nova Premier 1.0 | Amazon | ₽407/M | ₽2 035/M | ₽18 315 |
| Gemini 3.1 Flash TTS | ₽161/M | ₽3 212/M | ₽19 272 | |
| Gpt 5.5 | OpenAI | ₽396/M | ₽2 376/M | ₽19 800 |
| MiMo-V2.6-Pro-UltraSpeed | Xiaomi | ₽708/M | ₽1 416/M | ₽21 245 |
| Claude Sonnet 4 | Anthropic | ₽488/M | ₽2 442/M | ₽21 978 |
| Claude Sonnet 4.5 | Anthropic | ₽488/M | ₽2 442/M | ₽21 978 |
| Claude Sonnet 4.6 | Anthropic | ₽488/M | ₽2 442/M | ₽21 978 |
| Ember-1 | Fireworks | ₽488/M | ₽2 442/M | ₽21 978 |
| sonar pro | perplexity | ₽488/M | ₽2 442/M | ₽21 978 |
| Whisper Large V3 | whisper large v3 | ₽1 139/M | ₽1 139/M | ₽22 770 |
| qwen3.8 max prime | Qwen | ₽651/M | ₽1 954/M | ₽22 792 |
| qwen3-asr-1.7b | qwen3 asr 1 7b | ₽1 221/M | ₽1 221/M | ₽24 420 |
| Claude Opus 5 5 | Anthropic | ₽642/M | ₽3 212/M | ₽28 908 |
| gpt image 2 | OpenAI | ₽1 302/M | ₽1 302/M | ₽32 560 |
| gpt image 2.5 flare | OpenAI | ₽1 302/M | ₽1 302/M | ₽32 560 |
| gpt image 2.5 sunburst | OpenAI | ₽1 302/M | ₽1 302/M | ₽32 560 |
| Gpt 6 Astra | OpenAI | ₽759/M | ₽3 795/M | ₽34 155 |
| gpt 6 astra pro | OpenAI | ₽759/M | ₽3 795/M | ₽34 155 |
| Claude Opus 4 8 | Anthropic | ₽792/M | ₽3 960/M | ₽35 640 |
| Claude Opus 4.5 | Anthropic | ₽792/M | ₽3 960/M | ₽35 640 |
| Claude Opus 4.6 | Anthropic | ₽792/M | ₽3 960/M | ₽35 640 |
| Claude Opus 4.7 | Anthropic | ₽792/M | ₽3 960/M | ₽35 640 |
| Claude Opus 5 | Anthropic | ₽792/M | ₽3 960/M | ₽35 640 |
| GPT-5.4 Image 2 | OpenAI | ₽1 285/M | ₽2 409/M | ₽37 741 |
| gpt 4 turbo | OpenAI | ₽1 100/M | ₽3 300/M | ₽38 500 |
| Fugu Ultra | Sakana | ₽792/M | ₽4 752/M | ₽39 600 |
| GPT Chat Latest | OpenAI | ₽792/M | ₽4 752/M | ₽39 600 |
| gpt image 1 | OpenAI | ₽1 606/M | ₽1 606/M | ₽40 150 |
| GPT-5 Image | OpenAI | ₽1 606/M | ₽1 606/M | ₽40 150 |
| Voxtral-Mini-3B-2507 | Mistral | ₽2 713/M | ₽2 713/M | ₽54 267 |
| claude 5 fable 20260609 | Anthropic | ₽1 518/M | ₽7 590/M | ₽68 310 |
| Claude Fable 5 1 | Anthropic | ₽1 518/M | ₽7 590/M | ₽68 310 |
| Claude Opus 4 | Anthropic | ₽1 650/M | ₽8 250/M | ₽74 250 |
| O1 | OpenAI | ₽2 277/M | ₽9 108/M | ₽91 080 |
| Qwen3-ASR Flash | alibaba | ₽5 544/M | ₽5 544/M | ₽110 880 |
| gpt 5.4 pro | OpenAI | ₽2 277/M | ₽13 662/M | ₽113 850 |
| Gpt 5.5 Pro | OpenAI | ₽2 277/M | ₽13 662/M | ₽113 850 |
| o3 Pro | OpenAI | ₽3 036/M | ₽12 144/M | ₽121 440 |
| gpt 4 | OpenAI | ₽4 554/M | ₽9 108/M | ₽136 620 |
| GPT-5 Pro | OpenAI | ₽2 277/M | ₽18 216/M | ₽136 620 |
| AssemblyAI Universal-3.5 Pro | assemblyai | ₽6 875/M | ₽6 875/M | ₽137 500 |
| Voxtral Small 24B 2507 STT | Mistral | ₽7 700/M | ₽7 700/M | ₽154 000 |
| GPT-5.2 Pro | OpenAI | ₽3 188/M | ₽25 502/M | ₽191 268 |
| o1-pro | OpenAI | ₽16 500/M | ₽66 000/M | ₽660 000 |
| Seed Audio 1.0 | ByteDance Seed | — | ₽275 000/M | ₽1 375 000 |
Текст и чат
оплата за токены · 396
▼
Текст и чат
оплата за токены · 396
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.65/M | ₽0.65/M | ₽13 |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.81/M | ₽0.81/M | ₽16 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.81/M | ₽0.81/M | ₽16 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.81/M | ₽0.81/M | ₽16 |
| bge-base-en-v1.5 | baai | ₽0.81/M | ₽0.81/M | ₽16 |
| E5-Base-v2 | Intfloat | ₽0.81/M | ₽0.81/M | ₽16 |
| GTE-Base | Thenlper | ₽0.81/M | ₽0.81/M | ₽16 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.81/M | ₽0.81/M | ₽16 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.81/M | ₽0.81/M | ₽16 |
| Bge M3 | baai | ₽1.63/M | ₽1.63/M | ₽33 |
| bge-large-en-v1.5 | baai | ₽1.63/M | ₽1.63/M | ₽33 |
| E5-Large-v2 | Intfloat | ₽1.63/M | ₽1.63/M | ₽33 |
| GTE-Large | Thenlper | ₽1.63/M | ₽1.63/M | ₽33 |
| Multilingual-E5-Large | Intfloat | ₽1.63/M | ₽1.63/M | ₽33 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽1.63/M | ₽1.63/M | ₽33 |
| Ling-2.6-flash | inclusionAI | ₽1.10/M | ₽3.30/M | ₽39 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽3.26/M | ₽3.26/M | ₽65 |
| Span-01 | Respan | ₽3.26/M | ₽3.26/M | ₽65 |
| text embedding 3 small | OpenAI | ₽3.26/M | ₽3.26/M | ₽65 |
| voyage-4-lite | VoyageAI by MongoDB | ₽3.26/M | ₽3.26/M | ₽65 |
| Ling 3.0 Flash VL | inclusionAI | ₽2.31/M | ₽6.78/M | ₽80 |
| Mistral Nemo | Mistral | ₽2.93/M | ₽4.88/M | ₽83 |
| pplx embed v1 4b | pplx embed v1 4b | ₽4.88/M | ₽4.88/M | ₽98 |
| llama 3.1 8b | Meta | ₽3.26/M | ₽6.51/M | ₽98 |
| gpt oss 20b | OpenAI | ₽2.20/M | ₽11.00/M | ₽99 |
| Nex-N2-Mini | nex agi | ₽2.75/M | ₽11.00/M | ₽110 |
| Nex-N2.5-Mini | Nex AGI | ₽2.75/M | ₽11.00/M | ₽110 |
| Ling 3.0 Flash | inclusionAI | ₽3.42/M | ₽10.26/M | ₽120 |
| Jev 1.13 | TypeSafe | ₽6.84/M | ₽6.84/M | ₽137 |
| Kev 4B | Jared Palmer | ₽6.84/M | ₽6.84/M | ₽137 |
| Tev1 4B Experimental | Together | ₽6.84/M | ₽6.84/M | ₽137 |
| Granite 4.0 Micro | IBM | ₽2.77/M | ₽18.23/M | ₽147 |
| gpt oss 120b | OpenAI | ₽3.30/M | ₽18.70/M | ₽160 |
| Solar Decide | Upstage | ₽8.14/M | ₽8.14/M | ₽163 |
| GPT-5 Nano | OpenAI | ₽2.75/M | ₽22.00/M | ₽165 |
| Granite 4.1 8B | ibm granite | ₽5.50/M | ₽11.00/M | ₽165 |
| Mercury 2.5 | Inception | ₽4.40/M | ₽16.50/M | ₽171 |
| Llama 3 8B Lunaris | Meta | ₽6.51/M | ₽8.14/M | ₽171 |
| arcee ai · trinity-mini-20251201 | arcee ai | ₽4.95/M | ₽16.50/M | ₽182 |
| Solar Pro 4 | Upstage | ₽4.88/M | ₽19.54/M | ₽195 |
| voyage-4 | VoyageAI by MongoDB | ₽9.77/M | ₽9.77/M | ₽195 |
| Gemma 3n E4B It | gemma 3n e4b it | ₽6.60/M | ₽13.20/M | ₽198 |
| Laguna XS 2.1 | Poolside | ₽6.60/M | ₽13.20/M | ₽198 |
| qwen3.7 flash | Qwen | ₽4.88/M | ₽21.16/M | ₽203 |
| gemma 4 26b a4b it | ₽4.62/M | ₽24.20/M | ₽213 | |
| Schematron V2 Turbo | Inference.net | ₽4.88/M | ₽24.42/M | ₽220 |
| Mistral Small 3 | Mistral | ₽8.14/M | ₽13.02/M | ₽228 |
| Amazon Nova Micro | nova micro | ₽5.70/M | ₽22.79/M | ₽228 |
| Ling 3.0 Flash Fin | inclusionAI | ₽6.60/M | ₽19.80/M | ₽231 |
| Command R7B (12-2024) | Cohere | ₽6.10/M | ₽24.42/M | ₽244 |
| Gemma 3 4B | ₽8.14/M | ₽16.28/M | ₽244 | |
| Llama 3.2 1B Preview | Meta | ₽4.40/M | ₽32.72/M | ₽252 |
| Nemotron 3.5 Lightning | NVIDIA | ₽6.35/M | ₽29.30/M | ₽274 |
| gemma 3 12b it | ₽8.14/M | ₽24.42/M | ₽285 | |
| Hy-MT2-1.8B | Tencent | ₽7.16/M | ₽28.82/M | ₽287 |
| Laguna S 2.1 | Poolside | ₽9.90/M | ₽19.80/M | ₽297 |
| Nex-N2.5-Pro | Nex AGI | ₽8.25/M | ₽27.50/M | ₽303 |
| qwen3.5 9b | Qwen | ₽11.00/M | ₽16.50/M | ₽303 |
| Glm 5.3 Flash | glm 5.3 flash | ₽3.26/M | ₽48.84/M | ₽309 |
| qwen3 30b a3b instruct 2507 | Qwen | ₽7.84/M | ₽31.43/M | ₽314 |
| gemini 2.5 flash lite | ₽8.14/M | ₽32.56/M | ₽326 | |
| Mistral Embed 2312 | Mistral | ₽16.28/M | ₽16.28/M | ₽326 |
| Nemotron 3 Nano 30B A3B | NVIDIA | ₽8.14/M | ₽32.56/M | ₽326 |
| Solar Mini 4 | Upstage | ₽8.14/M | ₽32.56/M | ₽326 |
| Text Embedding ADA | text embedding ada | ₽16.28/M | ₽16.28/M | ₽326 |
| poolside · laguna-xs.2-20260421 | poolside | ₽11.00/M | ₽22.00/M | ₽330 |
| Phi 4 | Microsoft | ₽11.40/M | ₽22.79/M | ₽342 |
| MythoMax 13B | gryphe | ₽13.02/M | ₽17.91/M | ₽350 |
| Schematron V2 Small | Inference.net | ₽8.14/M | ₽37.44/M | ₽350 |
| Gpt 6 Luna | OpenAI | ₽8.14/M | ₽40.70/M | ₽366 |
| gpt 6 luna pro | OpenAI | ₽8.14/M | ₽40.70/M | ₽366 |
| gemma 4 31b it | ₽9.90/M | ₽37.40/M | ₽385 | |
| llama 3 8b | Meta | ₽15.40/M | ₽15.40/M | ₽385 |
| gemma 3 27b it | ₽13.02/M | ₽26.05/M | ₽391 | |
| Nova Lite | nova lite | ₽9.77/M | ₽39.07/M | ₽391 |
| voyage-4-large | VoyageAI by MongoDB | ₽19.54/M | ₽19.54/M | ₽391 |
| voyage-code-4 | VoyageAI by MongoDB | ₽19.54/M | ₽19.54/M | ₽391 |
| voyage-multimodal-3.5 | VoyageAI by MongoDB | ₽19.54/M | ₽19.54/M | ₽391 |
| Granite 4.2 8B | IBM | ₽9.77/M | ₽40.70/M | ₽399 |
| Ministral 3 3B 2512 | Mistral | ₽16.28/M | ₽16.28/M | ₽407 |
| Mistral-Small-3.2-24B-Instruct-2506 | Mistral | ₽12.21/M | ₽32.56/M | ₽407 |
| Nemotron 3 Super | NVIDIA | ₽9.35/M | ₽44.00/M | ₽407 |
| rekaai · reka-edge-2603 | rekaai | ₽16.28/M | ₽16.28/M | ₽407 |
| text embedding 3 large | OpenAI | ₽21.16/M | ₽21.16/M | ₽423 |
| Qwen3.5 Flash | alibaba | ₽10.58/M | ₽42.33/M | ₽423 |
| Llama 3.2 3B | Meta | ₽8.14/M | ₽53.72/M | ₽431 |
| Qwen 3 Coder 30B A3B Instruct | Qwen | ₽11.40/M | ₽43.96/M | ₽448 |
| MiMo-V2.6-Flash | Xiaomi | ₽11.40/M | ₽45.58/M | ₽456 |
| Hy-MT2-30B-A3B | Tencent | ₽12.05/M | ₽48.03/M | ₽481 |
| Hy-MT2-7B | Tencent | ₽12.05/M | ₽48.03/M | ₽481 |
| Qwen3 32B | Qwen | ₽13.02/M | ₽45.58/M | ₽488 |
| gpt-oss-safeguard-20b | OpenAI | ₽12.21/M | ₽48.84/M | ₽488 |
| Muse Spark 1.2 Contributor | Meta | ₽16.28/M | ₽32.56/M | ₽488 |
| Muse Spark 1.3 Contributor | Meta | ₽16.28/M | ₽32.56/M | ₽488 |
| Qwen2.5 7B Instruct | Qwen | ₽16.28/M | ₽32.56/M | ₽488 |
| Reka Flash 3 | rekaai | ₽16.28/M | ₽32.56/M | ₽488 |
| Seed 1.6 Flash | ByteDance Seed | ₽12.21/M | ₽48.84/M | ₽488 |
| UI-TARS 7B | ByteDance | ₽16.28/M | ₽32.56/M | ₽488 |
| Codestral Embed 2505 | Mistral | ₽24.42/M | ₽24.42/M | ₽488 |
| gemini embedding exp | ₽24.42/M | ₽24.42/M | ₽488 | |
| Qwen3 14B | Qwen | ₽16.28/M | ₽35.82/M | ₽505 |
| Hermes 4 70B | nousresearch | ₽14.30/M | ₽44.00/M | ₽506 |
| Ling-2.6-1T | inclusionAI | ₽8.25/M | ₽68.75/M | ₽509 |
| Ring-2.6-1T | inclusionAI | ₽8.25/M | ₽68.75/M | ₽509 |
| glm 4.7 flash | Z.ai | ₽9.77/M | ₽65.12/M | ₽521 |
| Nemotron 3.5 Content Safety | NVIDIA | ₽22.00/M | ₽22.00/M | ₽550 |
| qwen3 235b a22b | Qwen | ₽14.24/M | ₽56.98/M | ₽570 |
| deepseek v4.1 flash | DeepSeek | ₽4.07/M | ₽97.68/M | ₽570 |
| Llama 4 Scout 17b 16e Instruct | Meta | ₽16.28/M | ₽48.84/M | ₽570 |
| Step 3.5 Flash | StepFun | ₽16.28/M | ₽48.84/M | ₽570 |
| Voxtral Small 24B 2507 | Mistral | ₽16.28/M | ₽48.84/M | ₽570 |
| MiMo-V2.5 | Xiaomi | ₽19.37/M | ₽38.75/M | ₽581 |
| Llama 3.3 70B | Meta | ₽16.28/M | ₽52.10/M | ₽586 |
| Olmo 3 32B Think | allenai | ₽16.50/M | ₽55.00/M | ₽605 |
| Ministral 3 8B 2512 | Mistral | ₽24.42/M | ₽24.42/M | ₽611 |
| Ternary Bonsai 2 27B | PrismML | ₽12.21/M | ₽81.40/M | ₽651 |
| Gemini Embedding 2 | ₽32.56/M | ₽32.56/M | ₽651 | |
| Gpt 4.1 Nano | OpenAI | ₽16.28/M | ₽65.12/M | ₽651 |
| Seed-2.0-Mini | ByteDance Seed | ₽16.28/M | ₽65.12/M | ₽651 |
| GPT-4o Mini | OpenAI | ₽16.50/M | ₽66.00/M | ₽660 |
| KAT-Coder-Air V2.5 | kwaipilot | ₽16.50/M | ₽66.00/M | ₽660 |
| qwen3 vl 32b instruct | Qwen | ₽16.93/M | ₽67.72/M | ₽677 |
| Llama Guard 4 12B | Meta | ₽29.30/M | ₽29.30/M | ₽733 |
| qwen3.6 35b a3b | Qwen | ₽8.14/M | ₽114/M | ₽733 |
| Qwen3 8B | Qwen | ₽19.05/M | ₽74.07/M | ₽751 |
| qwen3 vl 8b instruct | Qwen | ₽19.05/M | ₽74.07/M | ₽751 |
| Qwen3 30B A3B | Qwen | ₽19.54/M | ₽81.40/M | ₽798 |
| Gpt 5.6 Luna | OpenAI | ₽16.28/M | ₽97.68/M | ₽814 |
| gpt 5.6 luna pro | OpenAI | ₽16.28/M | ₽97.68/M | ₽814 |
| Ministral 3 14B 2512 | Mistral | ₽32.56/M | ₽32.56/M | ₽814 |
| Gpt 5.4 Nano | OpenAI | ₽16.28/M | ₽102/M | ₽834 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽21.16/M | ₽84.66/M | ₽846 |
| Hy3 | Tencent | ₽21.16/M | ₽86.28/M | ₽855 |
| Qwen3.5-35B-A3B | Qwen | ₽13.02/M | ₽122/M | ₽871 |
| qwen3.8 flash | Qwen | ₽24.42/M | ₽76.52/M | ₽871 |
| Qwen3.8 Omni Flash | Qwen | ₽24.42/M | ₽76.52/M | ₽871 |
| hunyuan a13b | hunyuan a13b | ₽22.79/M | ₽92.80/M | ₽920 |
| minimax m2.7 | MiniMax | ₽23.10/M | ₽92.40/M | ₽924 |
| deepseek v3.2 | DeepSeek | ₽33.99/M | ₽50.40/M | ₽932 |
| Command R | command r | ₽24.42/M | ₽97.68/M | ₽977 |
| Mistral Small 4 | Mistral | ₽24.42/M | ₽97.68/M | ₽977 |
| Solar Pro 3 | Upstage | ₽24.42/M | ₽97.68/M | ₽977 |
| Trinity Large Thinking | Arcee AI | ₽27.50/M | ₽88.00/M | ₽990 |
| Qwen Plus | Qwen | ₽28.60/M | ₽85.80/M | ₽1 001 |
| Gemini 3.1 Flash Lite | ₽20.35/M | ₽122/M | ₽1 017 | |
| minimax m3 | MiniMax | ₽25.30/M | ₽106/M | ₽1 034 |
| qwen3 coder next | Qwen | ₽19.54/M | ₽130/M | ₽1 042 |
| deepseek v4 flash | DeepSeek | ₽0.73/M | ₽208/M | ₽1 056 |
| Nex-N2-Pro | nex agi | ₽27.50/M | ₽110/M | ₽1 100 |
| GLM 4.5 Air | Z.ai | ₽21.16/M | ₽138/M | ₽1 115 |
| mistralai · mistral-saba-2502 | Mistral | ₽32.56/M | ₽97.68/M | ₽1 140 |
| llama 4 maverick 17b 128e instruct | Meta | ₽30.52/M | ₽106/M | ₽1 142 |
| qwen3 next 80b a3b instruct 2509 | Qwen | ₽14.65/M | ₽179/M | ₽1 188 |
| GPT-5 Mini | OpenAI | ₽20.35/M | ₽163/M | ₽1 221 |
| DeepSeek V4 Flash Vision Exp | DeepSeek | ₽35.10/M | ₽105/M | ₽1 229 |
| Claude 3 Haiku | Anthropic | ₽27.50/M | ₽138/M | ₽1 238 |
| Muse Glimmer 30B | Meta | ₽33.00/M | ₽121/M | ₽1 265 |
| Weaver (alpha) | Mancer | ₽44.00/M | ₽82.50/M | ₽1 293 |
| KAT-Coder-Pro V2 | kwaipilot | ₽33.00/M | ₽132/M | ₽1 320 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽32.56/M | ₽143/M | ₽1 368 |
| Gemini 3.7 Flash | ₽30.52/M | ₽153/M | ₽1 374 | |
| Cydonia 24B V4.1 | TheDrummer | ₽48.84/M | ₽81.40/M | ₽1 384 |
| Uncensored | Venice | ₽32.56/M | ₽147/M | ₽1 384 |
| Mercury 2 | Inception | ₽40.70/M | ₽122/M | ₽1 425 |
| Qwen3 Coder Flash | Qwen | ₽31.75/M | ₽159/M | ₽1 429 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽24.42/M | ₽195/M | ₽1 465 |
| MiMo-V2.5-Pro | Xiaomi | ₽49.57/M | ₽99.15/M | ₽1 487 |
| qwen 2.5 72b instruct | Qwen | ₽58.61/M | ₽65.12/M | ₽1 498 |
| Gemini 2.5 Flash | ₽24.42/M | ₽204/M | ₽1 506 | |
| gemini 2.5 flash image | ₽24.42/M | ₽204/M | ₽1 506 | |
| Gemini 3.5 Flash Lite | ₽24.42/M | ₽204/M | ₽1 506 | |
| qwen3.6 flash | Qwen | ₽30.52/M | ₽183/M | ₽1 526 |
| MiniMax-01 | MiniMax | ₽32.56/M | ₽179/M | ₽1 547 |
| deepseek chat v3.1 | DeepSeek | ₽40.70/M | ₽155/M | ₽1 587 |
| Step 3.7 Flash | StepFun | ₽32.56/M | ₽187/M | ₽1 587 |
| mistralai · Mistral-Small-3.1-24B-Instruct-2503 | Mistral | ₽57.14/M | ₽90.35/M | ₽1 595 |
| DeepSeek Chat (V3) | DeepSeek | ₽40.70/M | ₽163/M | ₽1 628 |
| llama 3.1 70b | Meta | ₽65.12/M | ₽65.12/M | ₽1 628 |
| UnslopNemo 12B | TheDrummer | ₽65.12/M | ₽65.12/M | ₽1 628 |
| Inkling Small | Thinking Machines | ₽49.50/M | ₽132/M | ₽1 650 |
| MiniMax M2 | MiniMax | ₽41.51/M | ₽166/M | ₽1 660 |
| ReMM SLERP 13B | undi95 | ₽56.98/M | ₽106/M | ₽1 669 |
| DeepSeek V3.1 Terminus | DeepSeek | ₽43.96/M | ₽163/M | ₽1 693 |
| Perceptron Mk1 | Perceptron | ₽24.42/M | ₽244/M | ₽1 709 |
| Perceptron Mk1.5 | Perceptron | ₽24.42/M | ₽244/M | ₽1 709 |
| Codestral 2508 | Mistral | ₽48.84/M | ₽147/M | ₽1 709 |
| GLM 4.6 | Z.ai | ₽48.84/M | ₽147/M | ₽1 709 |
| MiniMax M2.5 | MiniMax | ₽43.96/M | ₽176/M | ₽1 758 |
| Qwen3.5-27B | Qwen | ₽31.75/M | ₽254/M | ₽1 905 |
| Mistral Large 3 2512 | Mistral | ₽55.00/M | ₽165/M | ₽1 925 |
| LongCat 2.0 | Meituan | ₽48.84/M | ₽195/M | ₽1 954 |
| MiniMax M2-her | MiniMax | ₽48.84/M | ₽195/M | ₽1 954 |
| MiniMax M2.1 | MiniMax | ₽48.84/M | ₽195/M | ₽1 954 |
| Devstral 2 2512 | Mistral | ₽44.00/M | ₽220/M | ₽1 980 |
| MiMo-V2.6-Pro | Xiaomi | ₽67.28/M | ₽135/M | ₽2 018 |
| gemini 3 flash | ₽40.70/M | ₽244/M | ₽2 035 | |
| gemini 3.1 flash lite image | ₽40.70/M | ₽244/M | ₽2 035 | |
| Gpt 5.4 Mini | OpenAI | ₽41.25/M | ₽248/M | ₽2 063 |
| qwen3.7 plus | Qwen | ₽52.10/M | ₽208/M | ₽2 084 |
| qwen3.5 plus | qwen3.5 plus | ₽42.33/M | ₽254/M | ₽2 116 |
| qwen3 coder 480b a35b 07 25 | Qwen | ₽35.82/M | ₽293/M | ₽2 182 |
| Command A+ | Cohere | ₽48.84/M | ₽244/M | ₽2 198 |
| deepseek r1 distill llama 70b | DeepSeek | ₽88.00/M | ₽88.00/M | ₽2 200 |
| Glm 5.3 Flashx | glm 5.3 flashx | ₽60.24/M | ₽204/M | ₽2 222 |
| aion labs · aion-1.0-mini | aion labs | ₽77.00/M | ₽154/M | ₽2 310 |
| Nemotron 3 Ultra | NVIDIA | ₽55.00/M | ₽242/M | ₽2 310 |
| ERNIE 4.5 VL 424B A47B | Baidu | ₽68.38/M | ₽204/M | ₽2 385 |
| Glm 5.3 | glm 5.3 | ₽9.77/M | ₽439/M | ₽2 388 |
| GPT-5.1-Codex-Mini | OpenAI | ₽40.70/M | ₽326/M | ₽2 442 |
| Seed 1.6 | ByteDance Seed | ₽40.70/M | ₽326/M | ₽2 442 |
| Seed-2.0-Lite | ByteDance Seed | ₽40.70/M | ₽326/M | ₽2 442 |
| Skyfall 36B V2 | TheDrummer | ₽89.54/M | ₽130/M | ₽2 442 |
| WizardLM-2 8x22B | microsoft | ₽101/M | ₽101/M | ₽2 524 |
| Qwen3.5-122B-A10B | Qwen | ₽42.33/M | ₽339/M | ₽2 540 |
| Glm 5.2 | glm 5.2 | ₽12.54/M | ₽463/M | ₽2 564 |
| qwen3.6 27b | Qwen | ₽48.84/M | ₽326/M | ₽2 605 |
| Gpt 4.1 Mini | OpenAI | ₽65.12/M | ₽260/M | ₽2 605 |
| Gemma 2 27B | ₽106/M | ₽106/M | ₽2 645 | |
| Qwen3.6 Plus | Qwen | ₽52.91/M | ₽317/M | ₽2 645 |
| Glm 4.7 | glm 4.7 | ₽65.12/M | ₽285/M | ₽2 727 |
| sao10k · l3.3-euryale-70b-v2.3 | sao10k | ₽106/M | ₽122/M | ₽2 727 |
| Gemini 3.6 Flash | ₽61.05/M | ₽305/M | ₽2 747 | |
| Gemini 3.8 Flash | ₽61.05/M | ₽305/M | ₽2 747 | |
| Hermes 3 70B Instruct | Nous | ₽114/M | ₽114/M | ₽2 849 |
| gpt 3.5 turbo | OpenAI | ₽81.40/M | ₽244/M | ₽2 849 |
| Kimi K2.6 | kimi k2.6 | ₽70.68/M | ₽298/M | ₽2 902 |
| Mistral Medium 3 | Mistral | ₽65.12/M | ₽326/M | ₽2 930 |
| Mistral Medium 3.1 | Mistral | ₽65.12/M | ₽326/M | ₽2 930 |
| Qwen2.5 Coder 32B Instruct | Qwen | ₽107/M | ₽163/M | ₽2 963 |
| Nova 2 Lite | amazon | ₽48.84/M | ₽407/M | ₽3 012 |
| MiniMax M1 | MiniMax | ₽65.12/M | ₽358/M | ₽3 093 |
| qwen3.5 397b a17b | Qwen | ₽63.49/M | ₽381/M | ₽3 175 |
| Kimi K2.5 | MoonshotAI | ₽73.26/M | ₽366/M | ₽3 297 |
| deepseek r1 | DeepSeek | ₽81.40/M | ₽350/M | ₽3 378 |
| Deepseek V4 Pro | DeepSeek | ₽27.25/M | ₽570/M | ₽3 394 |
| Aion 3.5 Mini | AionLabs | ₽114/M | ₽228/M | ₽3 419 |
| Aion-3.0-Mini | AionLabs | ₽114/M | ₽228/M | ₽3 419 |
| GLM 4.5V | Z.ai | ₽97.68/M | ₽293/M | ₽3 419 |
| Qwen2.5 VL 72B Instruct | Qwen | ₽130/M | ₽163/M | ₽3 419 |
| Llama 3.1 Euryale 70B v2.2 | Meta | ₽138/M | ₽138/M | ₽3 460 |
| GLM-5 | glm 5 | ₽97.68/M | ₽313/M | ₽3 517 |
| Morph V3 Fast | Morph | ₽130/M | ₽195/M | ₽3 582 |
| qwen3.8 27b | Qwen | ₽4.04/M | ₽708/M | ₽3 622 |
| Seed 2.1 Turbo | ByteDance Seed | ₽81.40/M | ₽407/M | ₽3 663 |
| Kimi K2 0711 | MoonshotAI | ₽92.80/M | ₽374/M | ₽3 728 |
| switchpoint · router | switchpoint | ₽93.50/M | ₽374/M | ₽3 740 |
| GLM 4.5 | Z.ai | ₽97.68/M | ₽358/M | ₽3 744 |
| Relace Apply 3 | Relace | ₽138/M | ₽204/M | ₽3 785 |
| Aion-2.0 | AionLabs | ₽130/M | ₽260/M | ₽3 907 |
| Aion-RP 1.0 (8B) | AionLabs | ₽130/M | ₽260/M | ₽3 907 |
| gpt audio mini | OpenAI | ₽97.68/M | ₽391/M | ₽3 907 |
| Nano Banana 2 (Gemini 3.1 Flash Image) | ₽81.40/M | ₽488/M | ₽4 070 | |
| Seed-2.0-Code | ByteDance Seed | ₽81.40/M | ₽488/M | ₽4 070 |
| Hermes 3 405B Instruct | Nous | ₽163/M | ₽163/M | ₽4 070 |
| Sonar | perplexity | ₽163/M | ₽163/M | ₽4 070 |
| gemini 2.5 pro | ₽68.75/M | ₽550/M | ₽4 125 | |
| Inkling | Thinking Machines | ₽105/M | ₽446/M | ₽4 318 |
| Morph V3 Large | Morph | ₽147/M | ₽309/M | ₽4 477 |
| Hy4 preview | Tencent | ₽136/M | ₽407/M | ₽4 751 |
| qwen3 coder plus | Qwen | ₽106/M | ₽529/M | ₽4 762 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽120/M | ₽482/M | ₽4 819 |
| GLM 5V Turbo | Z.ai | ₽132/M | ₽440/M | ₽4 840 |
| Grok Build 0.1 | xAI | ₽163/M | ₽326/M | ₽4 884 |
| Kimi K2.7 Code | kimi k2.7 code | ₽107/M | ₽554/M | ₽4 917 |
| gpt 5.6 sol pro | OpenAI | ₽110/M | ₽550/M | ₽4 950 |
| Nova Pro | nova pro | ₽130/M | ₽521/M | ₽5 210 |
| Pareto 26.10 Preview | unbiased | ₽130/M | ₽521/M | ₽5 210 |
| Glm 5.1 | glm 5.1 | ₽157/M | ₽494/M | ₽5 609 |
| Hermes 4 405B | Nous | ₽163/M | ₽488/M | ₽5 698 |
| Mai Image 2.6 Flash | mai image 2.6 flash | ₽285/M | ₽285/M | ₽5 698 |
| Relace Search | relace | ₽163/M | ₽488/M | ₽5 698 |
| Qwen3 Max | qwen3 max | ₽127/M | ₽635/M | ₽5 714 |
| Gpt 5.1 | OpenAI | ₽102/M | ₽814/M | ₽6 105 |
| Gemini 3.5 Flash | ₽122/M | ₽733/M | ₽6 105 | |
| grok 4.20 | xAI | ₽204/M | ₽407/M | ₽6 105 |
| Grok 4.20 Multi-Agent | xAI | ₽204/M | ₽407/M | ₽6 105 |
| grok 4.3 | xAI | ₽204/M | ₽407/M | ₽6 105 |
| sakana namazu | sakana namazu | ₽155/M | ₽651/M | ₽6 349 |
| Palmyra X5 | Writer | ₽97.68/M | ₽977/M | ₽6 838 |
| Gpt 5.6 Sol | OpenAI | ₽158/M | ₽792/M | ₽7 128 |
| glm 5 turbo | Z.ai | ₽195/M | ₽651/M | ₽7 163 |
| O3 Mini | OpenAI | ₽179/M | ₽716/M | ₽7 163 |
| o3 Mini High | OpenAI | ₽179/M | ₽716/M | ₽7 163 |
| O4 Mini | OpenAI | ₽179/M | ₽716/M | ₽7 163 |
| o4 mini high | OpenAI | ₽179/M | ₽716/M | ₽7 163 |
| Claude Haiku 4.5 | Anthropic | ₽163/M | ₽814/M | ₽7 326 |
| Gpt 6 Sol | OpenAI | ₽163/M | ₽814/M | ₽7 326 |
| gpt 6 sol pro | OpenAI | ₽163/M | ₽814/M | ₽7 326 |
| gpt 6.1 sol | OpenAI | ₽163/M | ₽814/M | ₽7 326 |
| GPT-6.1 Sol Pro | OpenAI | ₽163/M | ₽814/M | ₽7 326 |
| Muse Spark 1.1 | Meta | ₽204/M | ₽692/M | ₽7 529 |
| Muse Spark 1.2 | Meta | ₽204/M | ₽692/M | ₽7 529 |
| Muse Spark 1.3 | Meta | ₽204/M | ₽692/M | ₽7 529 |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽152/M | ₽911/M | ₽7 590 | |
| Qwen3.8 2.4T A95B | Qwen | ₽220/M | ₽660/M | ₽7 700 |
| qwen3.8 max | Qwen | ₽220/M | ₽660/M | ₽7 700 |
| Gemini 3.1 Pro | ₽163/M | ₽977/M | ₽8 140 | |
| gpt 4o mini transcribe | OpenAI | ₽204/M | ₽814/M | ₽8 140 |
| Gpt 5.6 Terra | OpenAI | ₽163/M | ₽977/M | ₽8 140 |
| gpt 5.6 terra pro | OpenAI | ₽163/M | ₽977/M | ₽8 140 |
| sao10k · l3.1-70b-hanami-x1 | sao10k | ₽330/M | ₽330/M | ₽8 250 |
| Qwen3.6 Max | qwen3.6 max | ₽167/M | ₽1 003/M | ₽8 360 |
| qwen3.7 max | Qwen | ₽240/M | ₽720/M | ₽8 405 |
| Gpt 5.2 | OpenAI | ₽142/M | ₽1 140/M | ₽8 547 |
| Jamba Large 1.7 | AI21 | ₽220/M | ₽880/M | ₽8 800 |
| Kimi K3 | kimi k3 | ₽99.84/M | ₽1 518/M | ₽9 587 |
| gpt 5 image mini | OpenAI | ₽407/M | ₽326/M | ₽9 768 |
| Whisper Large V3 Turbo | OpenAI | ₽505/M | ₽505/M | ₽10 110 |
| Gpt 5.4 | OpenAI | ₽204/M | ₽1 221/M | ₽10 175 |
| gpt image 1 mini | OpenAI | ₽407/M | ₽407/M | ₽10 175 |
| nemotron-3.5-asr-streaming-multilingual-0.6b | nemotron 3 5 asr streaming multilingual 0 6b | ₽542/M | ₽542/M | ₽10 842 |
| qwen3-asr-0.6b | qwen3 asr 0 6b | ₽542/M | ₽542/M | ₽10 842 |
| Mistral Medium 3.5 | Mistral | ₽244/M | ₽1 221/M | ₽10 989 |
| Fugu Max | Sakana | ₽326/M | ₽977/M | ₽11 396 |
| grok 4.5 | xAI | ₽326/M | ₽977/M | ₽11 396 |
| Grok 4.6 | xAI | ₽326/M | ₽977/M | ₽11 396 |
| Grok 4.7 | xAI | ₽326/M | ₽977/M | ₽11 396 |
| Mistral Large | Mistral | ₽326/M | ₽977/M | ₽11 396 |
| Mistral Large 2407 | Mistral | ₽326/M | ₽977/M | ₽11 396 |
| Mixtral 8x22B Instruct | Mistral | ₽326/M | ₽977/M | ₽11 396 |
| GPT-5.3 Chat | OpenAI | ₽193/M | ₽1 540/M | ₽11 550 |
| GPT-5 | OpenAI | ₽204/M | ₽1 628/M | ₽12 210 |
| GPT-5.1-Codex | OpenAI | ₽204/M | ₽1 628/M | ₽12 210 |
| GPT-5.1-Codex-Max | OpenAI | ₽204/M | ₽1 628/M | ₽12 210 |
| Magnum v4 72B | anthracite org | ₽407/M | ₽814/M | ₽12 210 |
| Gpt 4.1 | OpenAI | ₽326/M | ₽1 302/M | ₽13 024 |
| GPT-3.5 Turbo 16k | OpenAI | ₽488/M | ₽651/M | ₽13 024 |
| O3 | OpenAI | ₽326/M | ₽1 302/M | ₽13 024 |
| sonar deep research | perplexity | ₽326/M | ₽1 302/M | ₽13 024 |
| sonar reasoning pro | perplexity | ₽326/M | ₽1 302/M | ₽13 024 |
| aion labs · aion-1.0 | aion labs | ₽440/M | ₽880/M | ₽13 200 |
| Pareto | unbiased | ₽407/M | ₽1 221/M | ₽14 245 |
| Claude Sonnet 5 | Anthropic | ₽326/M | ₽1 628/M | ₽14 652 |
| Claude Sonnet 5.5 | Anthropic | ₽326/M | ₽1 628/M | ₽14 652 |
| Aion 3.5 | AionLabs | ₽488/M | ₽977/M | ₽14 652 |
| Aion-3.0 | AionLabs | ₽488/M | ₽977/M | ₽14 652 |
| MAI Image 2.5 Pro (Text to Image) | microsoft | ₽759/M | ₽759/M | ₽15 180 |
| zyphra · zonos-v0.1-hybrid | zyphra | ₽770/M | ₽770/M | ₽15 400 |
| Command A | Cohere | ₽407/M | ₽1 628/M | ₽16 280 |
| Command R Plus | command r plus | ₽407/M | ₽1 628/M | ₽16 280 |
| Gemini 3.1 Pro Preview Custom Tools | ₽326/M | ₽1 954/M | ₽16 280 | |
| gemini-3.5-transcribe | ₽326/M | ₽1 954/M | ₽16 280 | |
| GLM 5.3 Prime | Z.ai | ₽456/M | ₽1 433/M | ₽16 280 |
| gpt 4o transcribe | OpenAI | ₽407/M | ₽1 628/M | ₽16 280 |
| gpt audio | OpenAI | ₽407/M | ₽1 628/M | ₽16 280 |
| GPT-4o | OpenAI | ₽407/M | ₽1 628/M | ₽16 280 |
| Mai Image 2.5 Text to Image | microsoft | ₽814/M | ₽814/M | ₽16 280 |
| Mai Image 2.6 | mai image 2.6 | ₽814/M | ₽814/M | ₽16 280 |
| gpt 5.3 codex | OpenAI | ₽285/M | ₽2 279/M | ₽17 094 |
| GPT-5.2 Chat | OpenAI | ₽285/M | ₽2 279/M | ₽17 094 |
| GPT-5.2-Codex | OpenAI | ₽285/M | ₽2 279/M | ₽17 094 |
| Nova Premier 1.0 | Amazon | ₽407/M | ₽2 035/M | ₽18 315 |
| Gemini 3.1 Flash TTS | ₽161/M | ₽3 212/M | ₽19 272 | |
| Gpt 5.5 | OpenAI | ₽396/M | ₽2 376/M | ₽19 800 |
| MiMo-V2.6-Pro-UltraSpeed | Xiaomi | ₽708/M | ₽1 416/M | ₽21 245 |
| Claude Sonnet 4 | Anthropic | ₽488/M | ₽2 442/M | ₽21 978 |
| Claude Sonnet 4.5 | Anthropic | ₽488/M | ₽2 442/M | ₽21 978 |
| Claude Sonnet 4.6 | Anthropic | ₽488/M | ₽2 442/M | ₽21 978 |
| Ember-1 | Fireworks | ₽488/M | ₽2 442/M | ₽21 978 |
| sonar pro | perplexity | ₽488/M | ₽2 442/M | ₽21 978 |
| Whisper Large V3 | whisper large v3 | ₽1 139/M | ₽1 139/M | ₽22 770 |
| qwen3.8 max prime | Qwen | ₽651/M | ₽1 954/M | ₽22 792 |
| qwen3-asr-1.7b | qwen3 asr 1 7b | ₽1 221/M | ₽1 221/M | ₽24 420 |
| Claude Opus 5 5 | Anthropic | ₽642/M | ₽3 212/M | ₽28 908 |
| gpt image 2 | OpenAI | ₽1 302/M | ₽1 302/M | ₽32 560 |
| gpt image 2.5 flare | OpenAI | ₽1 302/M | ₽1 302/M | ₽32 560 |
| gpt image 2.5 sunburst | OpenAI | ₽1 302/M | ₽1 302/M | ₽32 560 |
| Gpt 6 Astra | OpenAI | ₽759/M | ₽3 795/M | ₽34 155 |
| gpt 6 astra pro | OpenAI | ₽759/M | ₽3 795/M | ₽34 155 |
| Claude Opus 4 8 | Anthropic | ₽792/M | ₽3 960/M | ₽35 640 |
| Claude Opus 4.5 | Anthropic | ₽792/M | ₽3 960/M | ₽35 640 |
| Claude Opus 4.6 | Anthropic | ₽792/M | ₽3 960/M | ₽35 640 |
| Claude Opus 4.7 | Anthropic | ₽792/M | ₽3 960/M | ₽35 640 |
| Claude Opus 5 | Anthropic | ₽792/M | ₽3 960/M | ₽35 640 |
| GPT-5.4 Image 2 | OpenAI | ₽1 285/M | ₽2 409/M | ₽37 741 |
| gpt 4 turbo | OpenAI | ₽1 100/M | ₽3 300/M | ₽38 500 |
| Fugu Ultra | Sakana | ₽792/M | ₽4 752/M | ₽39 600 |
| GPT Chat Latest | OpenAI | ₽792/M | ₽4 752/M | ₽39 600 |
| gpt image 1 | OpenAI | ₽1 606/M | ₽1 606/M | ₽40 150 |
| GPT-5 Image | OpenAI | ₽1 606/M | ₽1 606/M | ₽40 150 |
| Voxtral-Mini-3B-2507 | Mistral | ₽2 713/M | ₽2 713/M | ₽54 267 |
| claude 5 fable 20260609 | Anthropic | ₽1 518/M | ₽7 590/M | ₽68 310 |
| Claude Fable 5 1 | Anthropic | ₽1 518/M | ₽7 590/M | ₽68 310 |
| Claude Opus 4 | Anthropic | ₽1 650/M | ₽8 250/M | ₽74 250 |
| O1 | OpenAI | ₽2 277/M | ₽9 108/M | ₽91 080 |
| Qwen3-ASR Flash | alibaba | ₽5 544/M | ₽5 544/M | ₽110 880 |
| gpt 5.4 pro | OpenAI | ₽2 277/M | ₽13 662/M | ₽113 850 |
| Gpt 5.5 Pro | OpenAI | ₽2 277/M | ₽13 662/M | ₽113 850 |
| o3 Pro | OpenAI | ₽3 036/M | ₽12 144/M | ₽121 440 |
| gpt 4 | OpenAI | ₽4 554/M | ₽9 108/M | ₽136 620 |
| GPT-5 Pro | OpenAI | ₽2 277/M | ₽18 216/M | ₽136 620 |
| AssemblyAI Universal-3.5 Pro | assemblyai | ₽6 875/M | ₽6 875/M | ₽137 500 |
| Voxtral Small 24B 2507 STT | Mistral | ₽7 700/M | ₽7 700/M | ₽154 000 |
| GPT-5.2 Pro | OpenAI | ₽3 188/M | ₽25 502/M | ₽191 268 |
| o1-pro | OpenAI | ₽16 500/M | ₽66 000/M | ₽660 000 |
| Seed Audio 1.0 | ByteDance Seed | — | ₽275 000/M | ₽1 375 000 |
О провайдере
Как сравнивать на AI-APISHKA
Сравнивайте ₽/1M с Neurly (похожий нейминг provider/model) и OpenRouter после FX.
Частые вопросы
- Какой base URL?
- https://api.ru-openrouter.ru/v1
- Где публичные цены?
- На странице https://ru-openrouter.ru/v2/models (встроенный каталог MODEL_ENDPOINTS).
- Нужен ли VPN?
- Нет — сервис ориентирован на работу из России.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
RU OpenRouter предлагает 396 моделей AI API. Средняя цена — ₽597/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.65/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.