RU OpenRouter
Сайт ↗OpenRouter-совместимый API с ценами в рублях
- Моделей
- 343
- Средняя цена
- ₽224 799/M
- Регион
- Россия · сайт на русский
- Оплата
- Рубли (₽)
- Биллинг
- за токены
- API
- OpenAI-compatible
/v1/models требует ключ; на AI-APISHKA цены из HTML /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 = 82.9977 ₽ · 1 CNY = 12.278 ₽ · 13.08.2026
342 моделей
Текст и чат
оплата за токены · 342
▼
Текст и чат
оплата за токены · 342
| 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 | ₽1.63/M | ₽4.88/M | ₽57 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽3.26/M | ₽3.26/M | ₽65 |
| rerank-2.5-lite | voyageai | ₽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 |
| mistralai · mistral-nemo | mistralai | ₽3.09/M | ₽4.88/M | ₽86 |
| pplx embed v1 4b | pplx embed v1 4b | ₽4.88/M | ₽4.88/M | ₽98 |
| Ling-3.0-flash | inclusionai | ₽3.42/M | ₽10.26/M | ₽120 |
| granite-4.0-h-micro | ibm granite | ₽2.77/M | ₽18.23/M | ₽147 |
| Nex-N2-Mini | nex agi | ₽4.07/M | ₽16.28/M | ₽163 |
| rerank-2.5 | voyageai | ₽8.14/M | ₽8.14/M | ₽163 |
| Llama 3 8B Lunaris | sao10k | ₽6.51/M | ₽8.14/M | ₽171 |
| Solar Pro 4 | upstage | ₽4.88/M | ₽19.54/M | ₽195 |
| voyage-4 | VoyageAI by MongoDB | ₽9.77/M | ₽9.77/M | ₽195 |
| gpt oss 20b | openai | ₽4.88/M | ₽21.16/M | ₽203 |
| Qwen3.7 Flash | qwen3.7 flash | ₽4.88/M | ₽21.16/M | ₽203 |
| Llama 3.1 8B | llama 3.1 8b | ₽8.14/M | ₽13.02/M | ₽228 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽8.14/M | ₽13.02/M | ₽228 |
| Amazon Nova Micro | nova micro | ₽5.70/M | ₽22.79/M | ₽228 |
| gpt oss 120b | openai | ₽4.88/M | ₽27.68/M | ₽236 |
| Command R7B (12-2024) | cohere | ₽6.10/M | ₽24.42/M | ₽244 |
| Gemma 3 4B It | gemma 3 4b it | ₽8.14/M | ₽16.28/M | ₽244 |
| Granite 4.1 8B | ibm granite | ₽8.14/M | ₽16.28/M | ₽244 |
| Mythomax L2 13B | Gryphe | ₽9.77/M | ₽9.77/M | ₽244 |
| llama 3.2 1b:free | meta llama | ₽4.40/M | ₽32.72/M | ₽252 |
| gemma 3 12b it | ₽8.14/M | ₽24.42/M | ₽285 | |
| gemma 3n e4b it | ₽9.77/M | ₽19.54/M | ₽293 | |
| Laguna XS 2.1 | poolside | ₽9.77/M | ₽19.54/M | ₽293 |
| qwen3 30b a3b instruct 2507 | qwen | ₽7.84/M | ₽31.43/M | ₽314 |
| Mistral Embed 2312 | Mistral | ₽16.28/M | ₽16.28/M | ₽326 |
| Nemotron 3.5 Lightning | NVIDIA | ₽8.14/M | ₽32.56/M | ₽326 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽8.14/M | ₽32.56/M | ₽326 |
| Text Embedding ADA | text embedding ada | ₽16.28/M | ₽16.28/M | ₽326 |
| Phi 4 | Microsoft | ₽11.40/M | ₽22.79/M | ₽342 |
| Hy3 | hy3 | ₽10.26/M | ₽34.19/M | ₽376 |
| Nova Lite | amazon | ₽9.77/M | ₽39.07/M | ₽391 |
| voyage-4-large | VoyageAI by MongoDB | ₽19.54/M | ₽19.54/M | ₽391 |
| voyage-multimodal-3.5 | VoyageAI by MongoDB | ₽19.54/M | ₽19.54/M | ₽391 |
| deepseek v4 flash | deepseek | ₽13.02/M | ₽29.30/M | ₽407 |
| mistralai · ministral-3b-2512 | mistralai | ₽16.28/M | ₽16.28/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 | llama 3.2 3b | ₽8.14/M | ₽53.72/M | ₽431 |
| Laguna S 2.1 | Poolside | ₽14.65/M | ₽29.30/M | ₽440 |
| qwen3.5 9b | qwen | ₽16.28/M | ₽24.42/M | ₽448 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽11.40/M | ₽45.58/M | ₽456 |
| qwen3 32b | qwen | ₽13.02/M | ₽45.58/M | ₽488 |
| gpt oss safeguard 20b | openai | ₽12.21/M | ₽48.84/M | ₽488 |
| GPT-5 Nano | gpt 5 nano | ₽8.14/M | ₽65.12/M | ₽488 |
| qwen 2.5 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 001 | gemini embedding exp 03 07 | ₽24.42/M | ₽24.42/M | ₽488 |
| Mistral-Small-3.2-24B-Instruct-2506 | mistralai | ₽15.26/M | ₽40.70/M | ₽509 |
| glm 4.7 flash | z ai | ₽9.77/M | ₽65.12/M | ₽521 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽16.28/M | ₽48.84/M | ₽570 |
| Step 3.5 Flash | step 3.5 flash | ₽16.28/M | ₽48.84/M | ₽570 |
| Voxtral Small 24B 2507 | mistralai | ₽16.28/M | ₽48.84/M | ₽570 |
| Llama 3.3 70B | llama 3.3 70b | ₽16.28/M | ₽52.10/M | ₽586 |
| qwen3 14b | qwen | ₽19.54/M | ₽39.07/M | ₽586 |
| gemma 4 31b it | ₽16.28/M | ₽55.35/M | ₽602 | |
| Nemotron 3 Super 120B-A12B | nvidia | ₽13.84/M | ₽65.12/M | ₽602 |
| mistralai · ministral-8b-2512 | mistralai | ₽24.42/M | ₽24.42/M | ₽611 |
| gemma 3 27b it | ₽13.02/M | ₽73.26/M | ₽627 | |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽16.28/M | ₽65.12/M | ₽651 |
| Gemini Embedding 2 | 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 |
| qwen3 vl 32b instruct | qwen | ₽16.93/M | ₽67.72/M | ₽677 |
| mimo v2.5 | mimo v2.5 | ₽22.79/M | ₽45.58/M | ₽684 |
| gemma 4 26b a4b it | ₽19.54/M | ₽65.12/M | ₽716 | |
| llama guard 4 12b | meta llama | ₽29.30/M | ₽29.30/M | ₽733 |
| qwen3 235b a22b | qwen | ₽14.65/M | ₽89.54/M | ₽741 |
| Hermes 4 70B | nousresearch | ₽21.16/M | ₽65.12/M | ₽749 |
| qwen3 8b | qwen | ₽19.05/M | ₽74.07/M | ₽751 |
| qwen3 vl 8b instruct | qwen | ₽19.05/M | ₽74.07/M | ₽751 |
| Ling-2.6-1T | inclusionai | ₽12.21/M | ₽102/M | ₽753 |
| Ring-2.6-1T | inclusionai | ₽12.21/M | ₽102/M | ₽753 |
| 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 |
| mistralai · ministral-14b-2512 | mistralai | ₽32.56/M | ₽32.56/M | ₽814 |
| hunyuan a13b | hunyuan a13b | ₽22.79/M | ₽92.80/M | ₽920 |
| Command R | command r | ₽24.42/M | ₽97.68/M | ₽977 |
| GPT-4o Mini | gpt 4o mini | ₽24.42/M | ₽97.68/M | ₽977 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽24.42/M | ₽97.68/M | ₽977 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽24.42/M | ₽97.68/M | ₽977 |
| Small 4 | mistralai | ₽24.42/M | ₽97.68/M | ₽977 |
| Solar Pro 3 | upstage | ₽24.42/M | ₽97.68/M | ₽977 |
| qwen3 coder next | qwen | ₽19.54/M | ₽130/M | ₽1 042 |
| glm 4.5 air | z ai | ₽21.16/M | ₽138/M | ₽1 115 |
| mistralai · mistral-saba-2502 | mistralai | ₽32.56/M | ₽97.68/M | ₽1 140 |
| qwen3 next 80b a3b instruct 2509 | qwen | ₽14.65/M | ₽179/M | ₽1 188 |
| deepseek v3.2 | deepseek | ₽43.79/M | ₽65.12/M | ₽1 201 |
| llama 4 maverick 17b 128e instruct | llama 4 maverick 17b 128e instruct | ₽32.56/M | ₽113/M | ₽1 218 |
| Rocinante 12B | thedrummer | ₽40.70/M | ₽81.40/M | ₽1 221 |
| qwen3.5 35b a3b | qwen | ₽22.79/M | ₽163/M | ₽1 270 |
| qwen3.6 35b a3b | qwen | ₽24.42/M | ₽163/M | ₽1 302 |
| 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 |
| qwen2.5 vl 72b instruct | qwen | ₽40.70/M | ₽122/M | ₽1 425 |
| qwen3 coder flash | qwen | ₽31.75/M | ₽159/M | ₽1 429 |
| minimax m2.5 | minimax | ₽35.82/M | ₽147/M | ₽1 449 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽24.42/M | ₽195/M | ₽1 465 |
| Qwen Plus | qwen plus | ₽42.33/M | ₽127/M | ₽1 481 |
| qwen 2.5 72b instruct | qwen | ₽58.61/M | ₽65.12/M | ₽1 498 |
| 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 | step 3.7 flash | ₽32.56/M | ₽187/M | ₽1 587 |
| mistralai · mistral-small-3.1-24b-instruct-2503 | mistralai | ₽57.14/M | ₽90.35/M | ₽1 595 |
| llama 3.1 70b | llama 3.1 70b | ₽65.12/M | ₽65.12/M | ₽1 628 |
| Nex-N2-Pro | nex agi | ₽40.70/M | ₽163/M | ₽1 628 |
| UnslopNemo 12B | thedrummer | ₽65.12/M | ₽65.12/M | ₽1 628 |
| deepseek v3.1 terminus | deepseek | ₽43.96/M | ₽155/M | ₽1 653 |
| minimax m2 | minimax | ₽41.51/M | ₽166/M | ₽1 660 |
| gpt 5.4 nano | openai | ₽32.56/M | ₽204/M | ₽1 669 |
| DeepSeek Chat (V3) | deepseek chat | ₽41.90/M | ₽167/M | ₽1 675 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽42.33/M | ₽169/M | ₽1 693 |
| Mk1 | perceptron | ₽24.42/M | ₽244/M | ₽1 709 |
| glm 4.6 | z ai | ₽48.84/M | ₽147/M | ₽1 709 |
| mistralai · codestral-2508 | mistralai | ₽48.84/M | ₽147/M | ₽1 709 |
| qwen3 coder 480b a35b 07 25 | qwen | ₽48.84/M | ₽163/M | ₽1 791 |
| qwen3.5 27b | qwen | ₽31.75/M | ₽254/M | ₽1 905 |
| KAT-Coder-Pro V1 | kwaipilot | ₽48.84/M | ₽195/M | ₽1 954 |
| 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 |
| minimax m2.7 | minimax | ₽48.84/M | ₽195/M | ₽1 954 |
| minimax m3 | minimax | ₽48.84/M | ₽195/M | ₽1 954 |
| ReMM-SLERP-L2-13B | undi95 | ₽73.26/M | ₽106/M | ₽1 994 |
| Kokoro-82M | hexgrad | ₽101/M | ₽101/M | ₽2 019 |
| gemini 3.1 flash lite | ₽40.70/M | ₽244/M | ₽2 035 | |
| gemini 3.1 flash lite image | ₽40.70/M | ₽244/M | ₽2 035 | |
| qwen3.7 plus | qwen | ₽52.10/M | ₽208/M | ₽2 084 |
| qwen3.5 plus | qwen3.5 plus | ₽42.33/M | ₽254/M | ₽2 116 |
| mimo v2.5 pro | mimo v2.5 pro | ₽70.82/M | ₽142/M | ₽2 125 |
| Weaver (alpha) | mancer | ₽81.40/M | ₽122/M | ₽2 239 |
| Muse Glimmer 30B | Meta | ₽56.98/M | ₽244/M | ₽2 361 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽68.38/M | ₽204/M | ₽2 385 |
| gpt 5.1 codex mini | openai | ₽40.70/M | ₽326/M | ₽2 442 |
| GPT-5 Mini | gpt 5 mini | ₽40.70/M | ₽326/M | ₽2 442 |
| Inkling Small | Thinking Machines | ₽73.26/M | ₽195/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 |
| gpt 4.1 mini | openai | ₽65.12/M | ₽260/M | ₽2 605 |
| gemma 2 27b it | ₽106/M | ₽106/M | ₽2 645 | |
| qwen3.6 plus | qwen | ₽52.91/M | ₽317/M | ₽2 645 |
| glm 4.7 | z ai | ₽65.12/M | ₽285/M | ₽2 727 |
| sao10k · l3.3-euryale-70b-v2.3 | sao10k | ₽106/M | ₽122/M | ₽2 727 |
| Hermes 3 70B Instruct | nousresearch | ₽114/M | ₽114/M | ₽2 849 |
| gpt 3.5 turbo | openai | ₽81.40/M | ₽244/M | ₽2 849 |
| Large 3 2512 | mistralai | ₽81.40/M | ₽244/M | ₽2 849 |
| qwen3.5 122b a10b | qwen | ₽47.21/M | ₽391/M | ₽2 898 |
| mistralai · mistral-medium-3 | mistralai | ₽65.12/M | ₽326/M | ₽2 930 |
| mistralai · mistral-medium-3.1 | mistralai | ₽65.12/M | ₽326/M | ₽2 930 |
| qwen 2.5 coder 32b instruct | qwen | ₽107/M | ₽163/M | ₽2 963 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽48.84/M | ₽407/M | ₽3 012 |
| gemini 2.5 flash image | ₽48.84/M | ₽407/M | ₽3 012 | |
| gemini 3.5 flash lite | ₽48.84/M | ₽407/M | ₽3 012 | |
| Nova 2 Lite | amazon | ₽48.84/M | ₽407/M | ₽3 012 |
| deepseek v4 pro | deepseek | ₽103/M | ₽206/M | ₽3 085 |
| deepseek r1 distill llama 70b | deepseek | ₽130/M | ₽130/M | ₽3 256 |
| DeepSeek R1 | deepseek r1 | ₽81.40/M | ₽350/M | ₽3 378 |
| Aion-3.0-Mini | AionLabs | ₽114/M | ₽228/M | ₽3 419 |
| Virtuoso Large | arcee ai | ₽122/M | ₽195/M | ₽3 419 |
| glm 4.5v | z ai | ₽97.68/M | ₽293/M | ₽3 419 |
| Llama 3.1 Euryale 70B v2.2 | sao10k | ₽138/M | ₽138/M | ₽3 460 |
| minimax m1 | minimax | ₽89.54/M | ₽358/M | ₽3 582 |
| morph · morph-v3-fast | morph | ₽130/M | ₽195/M | ₽3 582 |
| Kimi K2 | kimi k2 | ₽92.80/M | ₽374/M | ₽3 728 |
| glm 4.5 | z ai | ₽97.68/M | ₽358/M | ₽3 744 |
| Apply 3 | relace | ₽138/M | ₽204/M | ₽3 785 |
| Aion-2.0 | aion labs | ₽130/M | ₽260/M | ₽3 907 |
| Aion-RP 1.0 (8B) | aion labs | ₽130/M | ₽260/M | ₽3 907 |
| gpt audio mini | openai | ₽97.68/M | ₽391/M | ₽3 907 |
| Gemini 3 Flash | gemini 3 flash | ₽81.40/M | ₽488/M | ₽4 070 |
| 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 | nousresearch | ₽163/M | ₽163/M | ₽4 070 |
| Sonar | perplexity | ₽163/M | ₽163/M | ₽4 070 |
| Kimi K2.5 | kimi k2.5 | ₽92.80/M | ₽464/M | ₽4 176 |
| glm 5.2 | z ai | ₽81.40/M | ₽513/M | ₽4 192 |
| morph · morph-v3-large | morph | ₽147/M | ₽309/M | ₽4 477 |
| qwen3.5 397b a17b | qwen | ₽81.40/M | ₽586/M | ₽4 558 |
| qwen3 coder plus | qwen | ₽106/M | ₽529/M | ₽4 762 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽120/M | ₽482/M | ₽4 819 |
| grok build 0.1 | x ai | ₽163/M | ₽326/M | ₽4 884 |
| Nemotron 3 Ultra | nvidia | ₽97.68/M | ₽586/M | ₽4 884 |
| qwen3.6 27b | qwen | ₽97.68/M | ₽586/M | ₽4 884 |
| Cogito v2.1 671B | deepcogito | ₽204/M | ₽204/M | ₽5 088 |
| kimi k2.7 code | moonshotai | ₽114/M | ₽570/M | ₽5 128 |
| GLM-5 | glm 5 | ₽155/M | ₽415/M | ₽5 169 |
| Nova Pro | amazon | ₽130/M | ₽521/M | ₽5 210 |
| Hermes 4 405B | nousresearch | ₽163/M | ₽488/M | ₽5 698 |
| Search | relace | ₽163/M | ₽488/M | ₽5 698 |
| Qwen3 Max | qwen3 max | ₽127/M | ₽635/M | ₽5 714 |
| gpt 5.4 mini | openai | ₽122/M | ₽733/M | ₽6 105 |
| grok 4.20 | x ai | ₽204/M | ₽407/M | ₽6 105 |
| grok 4.20 multi agent | x ai | ₽204/M | ₽407/M | ₽6 105 |
| grok 4.3 | x ai | ₽204/M | ₽407/M | ₽6 105 |
| kimi k2.6 | moonshotai | ₽155/M | ₽651/M | ₽6 349 |
| Namazu | sakana | ₽155/M | ₽651/M | ₽6 349 |
| Inkling | Thinking Machines | ₽155/M | ₽659/M | ₽6 390 |
| Palmyra X5 | writer | ₽97.68/M | ₽977/M | ₽6 838 |
| glm 5 turbo | z ai | ₽195/M | ₽651/M | ₽7 163 |
| O3 Mini | o3 mini | ₽179/M | ₽716/M | ₽7 163 |
| o3 mini high | openai | ₽179/M | ₽716/M | ₽7 163 |
| O4 Mini | o4 mini | ₽179/M | ₽716/M | ₽7 163 |
| o4 mini high | openai | ₽179/M | ₽716/M | ₽7 163 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽163/M | ₽814/M | ₽7 326 |
| Muse Spark 1.1 | muse spark 1.1 | ₽204/M | ₽692/M | ₽7 529 |
| Muse Spark 1.2 | muse spark 1.2 | ₽204/M | ₽692/M | ₽7 529 |
| glm 5.1 | z ai | ₽228/M | ₽716/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 |
| GPT-4o Mini Transcribe | openai | ₽204/M | ₽814/M | ₽8 140 |
| 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 image mini | openai | ₽407/M | ₽326/M | ₽9 768 |
| gpt image 1 mini | openai | ₽407/M | ₽407/M | ₽10 175 |
| gemini 3.6 flash | ₽244/M | ₽1 221/M | ₽10 989 | |
| mistralai · mistral-medium-3-5 | mistralai | ₽244/M | ₽1 221/M | ₽10 989 |
| grok 4.5 | x ai | ₽326/M | ₽977/M | ₽11 396 |
| Mistral Large 2407 | Mistral large 2407 | ₽326/M | ₽977/M | ₽11 396 |
| mistralai · mistral-large | mistralai | ₽326/M | ₽977/M | ₽11 396 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽326/M | ₽977/M | ₽11 396 |
| Qwen 3.8 Max | alibaba | ₽326/M | ₽977/M | ₽11 396 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽204/M | ₽1 628/M | ₽12 210 |
| gpt 5.1 | 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 |
| GPT-5 | gpt 5 | ₽204/M | ₽1 628/M | ₽12 210 |
| gemini 3.5 flash | ₽244/M | ₽1 465/M | ₽12 210 | |
| gpt 3.5 turbo 16k | openai | ₽488/M | ₽651/M | ₽13 024 |
| gpt 4.1 | openai | ₽326/M | ₽1 302/M | ₽13 024 |
| Jamba Large 1.7 | ai21 | ₽326/M | ₽1 302/M | ₽13 024 |
| O3 | o3 | ₽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 |
| Magnum v4 72B | anthracite org | ₽488/M | ₽814/M | ₽13 838 |
| claude sonnet 5 | anthropic | ₽326/M | ₽1 628/M | ₽14 652 |
| Aion-3.0 | AionLabs | ₽488/M | ₽977/M | ₽14 652 |
| gemini 3 pro image | ₽304/M | ₽1 822/M | ₽15 180 | |
| MAI Image 2.5 Pro (Text to Image) | microsoft | ₽759/M | ₽759/M | ₽15 180 |
| Cohere Command A | cohere command a | ₽407/M | ₽1 628/M | ₽16 280 |
| Command R Plus | command r plus | ₽407/M | ₽1 628/M | ₽16 280 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽326/M | ₽1 954/M | ₽16 280 |
| gemini 3.1 pro preview customtools | ₽326/M | ₽1 954/M | ₽16 280 | |
| gpt audio | openai | ₽407/M | ₽1 628/M | ₽16 280 |
| GPT-4o | gpt 4o | ₽407/M | ₽1 628/M | ₽16 280 |
| GPT-4o Transcribe | openai | ₽407/M | ₽1 628/M | ₽16 280 |
| Mai Image 2.5 | mai image 2.5 | ₽814/M | ₽814/M | ₽16 280 |
| gpt 5.2 | 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 |
| gpt 5.3 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 5.4 | openai | ₽407/M | ₽2 442/M | ₽20 350 |
| kimi k3 | moonshotai | ₽455/M | ₽2 277/M | ₽20 493 |
| Claude Sonnet 4 | claude sonnet 4 | ₽488/M | ₽2 442/M | ₽21 978 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽488/M | ₽2 442/M | ₽21 978 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽488/M | ₽2 442/M | ₽21 978 |
| sonar pro | perplexity | ₽488/M | ₽2 442/M | ₽21 978 |
| csm-1b | sesame | ₽1 140/M | ₽1 140/M | ₽22 792 |
| Orpheus 3B | canopylabs | ₽1 140/M | ₽1 140/M | ₽22 792 |
| zyphra · zonos-v0.1-hybrid | zyphra | ₽1 140/M | ₽1 140/M | ₽22 792 |
| zyphra · zonos-v0.1-transformer | zyphra | ₽1 140/M | ₽1 140/M | ₽22 792 |
| gpt image 2 | gpt image 2 | ₽1 302/M | ₽1 302/M | ₽32 560 |
| Claude Opus 4.5 | claude opus 4 5 | ₽792/M | ₽3 960/M | ₽35 640 |
| Claude Opus 4.6 | claude opus 4 6 | ₽792/M | ₽3 960/M | ₽35 640 |
| Claude Opus 4.7 | claude opus 4 7 | ₽792/M | ₽3 960/M | ₽35 640 |
| claude opus 4.8 | 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 |
| Fugu Ultra | sakana | ₽792/M | ₽4 752/M | ₽39 600 |
| gpt 5.5 | openai | ₽792/M | ₽4 752/M | ₽39 600 |
| gpt 5.6 sol | openai | ₽792/M | ₽4 752/M | ₽39 600 |
| gpt 5.6 sol pro | openai | ₽792/M | ₽4 752/M | ₽39 600 |
| GPT Chat | gpt chat latest | ₽792/M | ₽4 752/M | ₽39 600 |
| gpt 5 image | openai | ₽1 606/M | ₽1 606/M | ₽40 150 |
| gpt image 1 | openai | ₽1 606/M | ₽1 606/M | ₽40 150 |
| grok-voice-tts-1.0 | grok voice tts 1 0 | ₽2 442/M | ₽2 442/M | ₽48 840 |
| mai voice 2 flash | mai voice 2 flash | ₽2 442/M | ₽2 442/M | ₽48 840 |
| Qwen Audio 3.0 Tts Flash | qwen audio 3.0 tts flash | ₽2 442/M | ₽2 442/M | ₽48 840 |
| S2.1 Pro | fish audio | ₽2 442/M | ₽2 442/M | ₽48 840 |
| Voxtral Mini TTS | mistralai | ₽2 605/M | ₽2 605/M | ₽52 096 |
| gpt 4 turbo | openai | ₽1 562/M | ₽4 686/M | ₽54 670 |
| Qwen Audio 3.0 Tts Plus | qwen audio 3.0 tts plus | ₽3 212/M | ₽3 212/M | ₽64 240 |
| claude 5 fable 20260609 | anthropic | ₽1 518/M | ₽7 590/M | ₽68 310 |
| MAI-Voice-2 | microsoft | ₽3 533/M | ₽3 533/M | ₽70 664 |
| O1 | o1 | ₽2 277/M | ₽9 108/M | ₽91 080 |
| Deepgram Aura 2 | deepgram | ₽4 752/M | ₽4 752/M | ₽95 040 |
| Claude Opus 4 | claude opus 4 | ₽2 277/M | ₽11 385/M | ₽102 465 |
| Qwen3-ASR Flash | alibaba | ₽5 544/M | ₽5 544/M | ₽110 880 |
| 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 |
| MiniMax Speech 2.8 Turbo | minimax | ₽9 108/M | ₽9 108/M | ₽182 160 |
| gpt 5.2 pro | openai | ₽3 188/M | ₽25 502/M | ₽191 268 |
| gpt 5.4 pro | openai | ₽4 554/M | ₽27 324/M | ₽227 700 |
| gpt 5.5 pro | openai | ₽4 554/M | ₽27 324/M | ₽227 700 |
| MiniMax Speech 2.8 HD | minimax | ₽15 180/M | ₽15 180/M | ₽303 600 |
| Transcribe 1 | fish audio | ₽15 180/M | ₽15 180/M | ₽303 600 |
| o1 pro | openai | ₽11 385/M | ₽45 540/M | ₽455 400 |
| rerank-v3.5 | rerank v3 5 | ₽151 800/M | ₽151 800/M | ₽3 036 000 |
| parakeet-tdt-0.6b-v3 | parakeet tdt 0 6b v3 | ₽227 700/M | ₽227 700/M | ₽4 554 000 |
| whisper large | whisper large | ₽227 700/M | ₽227 700/M | ₽4 554 000 |
| rerank 4 fast | rerank 4 fast | ₽303 600/M | ₽303 600/M | ₽6 072 000 |
| rerank 4 pro | rerank 4 pro | ₽379 500/M | ₽379 500/M | ₽7 590 000 |
| mistralai · voxtral-mini-transcribe-2602 | mistralai | ₽455 400/M | ₽455 400/M | ₽9 108 000 |
| nova-3 | deepgram | ₽652 740/M | ₽652 740/M | ₽13 054 800 |
| gpt transcribe | gpt transcribe | ₽683 100/M | ₽683 100/M | ₽13 662 000 |
| whisper 1 | openai | ₽910 800/M | ₽910 800/M | ₽18 216 000 |
| chirp 3 | chirp 3 | ₽2 428 800/M | ₽2 428 800/M | ₽48 576 000 |
| Whisper Large V3 Turbo | openai | ₽6 072 000/M | ₽6 072 000/M | ₽121 440 000 |
| Lyria 3 Clip Preview | ₽6 072 000/M | ₽6 072 000/M | ₽151 800 000 | |
| grok stt 20260723 | x ai | ₽15 180 000/M | ₽15 180 000/M | ₽303 600 000 |
| Lyria 3 Pro Preview | ₽12 144 000/M | ₽12 144 000/M | ₽303 600 000 | |
| mai-transcribe-1.5 | mai transcribe 1 5 | ₽54 648 000/M | ₽54 648 000/M | ₽1 092 960 000 |
Текст и чат
оплата за токены · 342
▼
Текст и чат
оплата за токены · 342
| 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 | ₽1.63/M | ₽4.88/M | ₽57 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽3.26/M | ₽3.26/M | ₽65 |
| rerank-2.5-lite | voyageai | ₽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 |
| mistralai · mistral-nemo | mistralai | ₽3.09/M | ₽4.88/M | ₽86 |
| pplx embed v1 4b | pplx embed v1 4b | ₽4.88/M | ₽4.88/M | ₽98 |
| Ling-3.0-flash | inclusionai | ₽3.42/M | ₽10.26/M | ₽120 |
| granite-4.0-h-micro | ibm granite | ₽2.77/M | ₽18.23/M | ₽147 |
| Nex-N2-Mini | nex agi | ₽4.07/M | ₽16.28/M | ₽163 |
| rerank-2.5 | voyageai | ₽8.14/M | ₽8.14/M | ₽163 |
| Llama 3 8B Lunaris | sao10k | ₽6.51/M | ₽8.14/M | ₽171 |
| Solar Pro 4 | upstage | ₽4.88/M | ₽19.54/M | ₽195 |
| voyage-4 | VoyageAI by MongoDB | ₽9.77/M | ₽9.77/M | ₽195 |
| gpt oss 20b | openai | ₽4.88/M | ₽21.16/M | ₽203 |
| Qwen3.7 Flash | qwen3.7 flash | ₽4.88/M | ₽21.16/M | ₽203 |
| Llama 3.1 8B | llama 3.1 8b | ₽8.14/M | ₽13.02/M | ₽228 |
| mistralai · mistral-small-24b-instruct-2501 | mistralai | ₽8.14/M | ₽13.02/M | ₽228 |
| Amazon Nova Micro | nova micro | ₽5.70/M | ₽22.79/M | ₽228 |
| gpt oss 120b | openai | ₽4.88/M | ₽27.68/M | ₽236 |
| Command R7B (12-2024) | cohere | ₽6.10/M | ₽24.42/M | ₽244 |
| Gemma 3 4B It | gemma 3 4b it | ₽8.14/M | ₽16.28/M | ₽244 |
| Granite 4.1 8B | ibm granite | ₽8.14/M | ₽16.28/M | ₽244 |
| Mythomax L2 13B | Gryphe | ₽9.77/M | ₽9.77/M | ₽244 |
| llama 3.2 1b:free | meta llama | ₽4.40/M | ₽32.72/M | ₽252 |
| gemma 3 12b it | ₽8.14/M | ₽24.42/M | ₽285 | |
| gemma 3n e4b it | ₽9.77/M | ₽19.54/M | ₽293 | |
| Laguna XS 2.1 | poolside | ₽9.77/M | ₽19.54/M | ₽293 |
| qwen3 30b a3b instruct 2507 | qwen | ₽7.84/M | ₽31.43/M | ₽314 |
| Mistral Embed 2312 | Mistral | ₽16.28/M | ₽16.28/M | ₽326 |
| Nemotron 3.5 Lightning | NVIDIA | ₽8.14/M | ₽32.56/M | ₽326 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽8.14/M | ₽32.56/M | ₽326 |
| Text Embedding ADA | text embedding ada | ₽16.28/M | ₽16.28/M | ₽326 |
| Phi 4 | Microsoft | ₽11.40/M | ₽22.79/M | ₽342 |
| Hy3 | hy3 | ₽10.26/M | ₽34.19/M | ₽376 |
| Nova Lite | amazon | ₽9.77/M | ₽39.07/M | ₽391 |
| voyage-4-large | VoyageAI by MongoDB | ₽19.54/M | ₽19.54/M | ₽391 |
| voyage-multimodal-3.5 | VoyageAI by MongoDB | ₽19.54/M | ₽19.54/M | ₽391 |
| deepseek v4 flash | deepseek | ₽13.02/M | ₽29.30/M | ₽407 |
| mistralai · ministral-3b-2512 | mistralai | ₽16.28/M | ₽16.28/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 | llama 3.2 3b | ₽8.14/M | ₽53.72/M | ₽431 |
| Laguna S 2.1 | Poolside | ₽14.65/M | ₽29.30/M | ₽440 |
| qwen3.5 9b | qwen | ₽16.28/M | ₽24.42/M | ₽448 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽11.40/M | ₽45.58/M | ₽456 |
| qwen3 32b | qwen | ₽13.02/M | ₽45.58/M | ₽488 |
| gpt oss safeguard 20b | openai | ₽12.21/M | ₽48.84/M | ₽488 |
| GPT-5 Nano | gpt 5 nano | ₽8.14/M | ₽65.12/M | ₽488 |
| qwen 2.5 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 001 | gemini embedding exp 03 07 | ₽24.42/M | ₽24.42/M | ₽488 |
| Mistral-Small-3.2-24B-Instruct-2506 | mistralai | ₽15.26/M | ₽40.70/M | ₽509 |
| glm 4.7 flash | z ai | ₽9.77/M | ₽65.12/M | ₽521 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽16.28/M | ₽48.84/M | ₽570 |
| Step 3.5 Flash | step 3.5 flash | ₽16.28/M | ₽48.84/M | ₽570 |
| Voxtral Small 24B 2507 | mistralai | ₽16.28/M | ₽48.84/M | ₽570 |
| Llama 3.3 70B | llama 3.3 70b | ₽16.28/M | ₽52.10/M | ₽586 |
| qwen3 14b | qwen | ₽19.54/M | ₽39.07/M | ₽586 |
| gemma 4 31b it | ₽16.28/M | ₽55.35/M | ₽602 | |
| Nemotron 3 Super 120B-A12B | nvidia | ₽13.84/M | ₽65.12/M | ₽602 |
| mistralai · ministral-8b-2512 | mistralai | ₽24.42/M | ₽24.42/M | ₽611 |
| gemma 3 27b it | ₽13.02/M | ₽73.26/M | ₽627 | |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽16.28/M | ₽65.12/M | ₽651 |
| Gemini Embedding 2 | 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 |
| qwen3 vl 32b instruct | qwen | ₽16.93/M | ₽67.72/M | ₽677 |
| mimo v2.5 | mimo v2.5 | ₽22.79/M | ₽45.58/M | ₽684 |
| gemma 4 26b a4b it | ₽19.54/M | ₽65.12/M | ₽716 | |
| llama guard 4 12b | meta llama | ₽29.30/M | ₽29.30/M | ₽733 |
| qwen3 235b a22b | qwen | ₽14.65/M | ₽89.54/M | ₽741 |
| Hermes 4 70B | nousresearch | ₽21.16/M | ₽65.12/M | ₽749 |
| qwen3 8b | qwen | ₽19.05/M | ₽74.07/M | ₽751 |
| qwen3 vl 8b instruct | qwen | ₽19.05/M | ₽74.07/M | ₽751 |
| Ling-2.6-1T | inclusionai | ₽12.21/M | ₽102/M | ₽753 |
| Ring-2.6-1T | inclusionai | ₽12.21/M | ₽102/M | ₽753 |
| 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 |
| mistralai · ministral-14b-2512 | mistralai | ₽32.56/M | ₽32.56/M | ₽814 |
| hunyuan a13b | hunyuan a13b | ₽22.79/M | ₽92.80/M | ₽920 |
| Command R | command r | ₽24.42/M | ₽97.68/M | ₽977 |
| GPT-4o Mini | gpt 4o mini | ₽24.42/M | ₽97.68/M | ₽977 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽24.42/M | ₽97.68/M | ₽977 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽24.42/M | ₽97.68/M | ₽977 |
| Small 4 | mistralai | ₽24.42/M | ₽97.68/M | ₽977 |
| Solar Pro 3 | upstage | ₽24.42/M | ₽97.68/M | ₽977 |
| qwen3 coder next | qwen | ₽19.54/M | ₽130/M | ₽1 042 |
| glm 4.5 air | z ai | ₽21.16/M | ₽138/M | ₽1 115 |
| mistralai · mistral-saba-2502 | mistralai | ₽32.56/M | ₽97.68/M | ₽1 140 |
| qwen3 next 80b a3b instruct 2509 | qwen | ₽14.65/M | ₽179/M | ₽1 188 |
| deepseek v3.2 | deepseek | ₽43.79/M | ₽65.12/M | ₽1 201 |
| llama 4 maverick 17b 128e instruct | llama 4 maverick 17b 128e instruct | ₽32.56/M | ₽113/M | ₽1 218 |
| Rocinante 12B | thedrummer | ₽40.70/M | ₽81.40/M | ₽1 221 |
| qwen3.5 35b a3b | qwen | ₽22.79/M | ₽163/M | ₽1 270 |
| qwen3.6 35b a3b | qwen | ₽24.42/M | ₽163/M | ₽1 302 |
| 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 |
| qwen2.5 vl 72b instruct | qwen | ₽40.70/M | ₽122/M | ₽1 425 |
| qwen3 coder flash | qwen | ₽31.75/M | ₽159/M | ₽1 429 |
| minimax m2.5 | minimax | ₽35.82/M | ₽147/M | ₽1 449 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽24.42/M | ₽195/M | ₽1 465 |
| Qwen Plus | qwen plus | ₽42.33/M | ₽127/M | ₽1 481 |
| qwen 2.5 72b instruct | qwen | ₽58.61/M | ₽65.12/M | ₽1 498 |
| 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 | step 3.7 flash | ₽32.56/M | ₽187/M | ₽1 587 |
| mistralai · mistral-small-3.1-24b-instruct-2503 | mistralai | ₽57.14/M | ₽90.35/M | ₽1 595 |
| llama 3.1 70b | llama 3.1 70b | ₽65.12/M | ₽65.12/M | ₽1 628 |
| Nex-N2-Pro | nex agi | ₽40.70/M | ₽163/M | ₽1 628 |
| UnslopNemo 12B | thedrummer | ₽65.12/M | ₽65.12/M | ₽1 628 |
| deepseek v3.1 terminus | deepseek | ₽43.96/M | ₽155/M | ₽1 653 |
| minimax m2 | minimax | ₽41.51/M | ₽166/M | ₽1 660 |
| gpt 5.4 nano | openai | ₽32.56/M | ₽204/M | ₽1 669 |
| DeepSeek Chat (V3) | deepseek chat | ₽41.90/M | ₽167/M | ₽1 675 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽42.33/M | ₽169/M | ₽1 693 |
| Mk1 | perceptron | ₽24.42/M | ₽244/M | ₽1 709 |
| glm 4.6 | z ai | ₽48.84/M | ₽147/M | ₽1 709 |
| mistralai · codestral-2508 | mistralai | ₽48.84/M | ₽147/M | ₽1 709 |
| qwen3 coder 480b a35b 07 25 | qwen | ₽48.84/M | ₽163/M | ₽1 791 |
| qwen3.5 27b | qwen | ₽31.75/M | ₽254/M | ₽1 905 |
| KAT-Coder-Pro V1 | kwaipilot | ₽48.84/M | ₽195/M | ₽1 954 |
| 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 |
| minimax m2.7 | minimax | ₽48.84/M | ₽195/M | ₽1 954 |
| minimax m3 | minimax | ₽48.84/M | ₽195/M | ₽1 954 |
| ReMM-SLERP-L2-13B | undi95 | ₽73.26/M | ₽106/M | ₽1 994 |
| Kokoro-82M | hexgrad | ₽101/M | ₽101/M | ₽2 019 |
| gemini 3.1 flash lite | ₽40.70/M | ₽244/M | ₽2 035 | |
| gemini 3.1 flash lite image | ₽40.70/M | ₽244/M | ₽2 035 | |
| qwen3.7 plus | qwen | ₽52.10/M | ₽208/M | ₽2 084 |
| qwen3.5 plus | qwen3.5 plus | ₽42.33/M | ₽254/M | ₽2 116 |
| mimo v2.5 pro | mimo v2.5 pro | ₽70.82/M | ₽142/M | ₽2 125 |
| Weaver (alpha) | mancer | ₽81.40/M | ₽122/M | ₽2 239 |
| Muse Glimmer 30B | Meta | ₽56.98/M | ₽244/M | ₽2 361 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽68.38/M | ₽204/M | ₽2 385 |
| gpt 5.1 codex mini | openai | ₽40.70/M | ₽326/M | ₽2 442 |
| GPT-5 Mini | gpt 5 mini | ₽40.70/M | ₽326/M | ₽2 442 |
| Inkling Small | Thinking Machines | ₽73.26/M | ₽195/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 |
| gpt 4.1 mini | openai | ₽65.12/M | ₽260/M | ₽2 605 |
| gemma 2 27b it | ₽106/M | ₽106/M | ₽2 645 | |
| qwen3.6 plus | qwen | ₽52.91/M | ₽317/M | ₽2 645 |
| glm 4.7 | z ai | ₽65.12/M | ₽285/M | ₽2 727 |
| sao10k · l3.3-euryale-70b-v2.3 | sao10k | ₽106/M | ₽122/M | ₽2 727 |
| Hermes 3 70B Instruct | nousresearch | ₽114/M | ₽114/M | ₽2 849 |
| gpt 3.5 turbo | openai | ₽81.40/M | ₽244/M | ₽2 849 |
| Large 3 2512 | mistralai | ₽81.40/M | ₽244/M | ₽2 849 |
| qwen3.5 122b a10b | qwen | ₽47.21/M | ₽391/M | ₽2 898 |
| mistralai · mistral-medium-3 | mistralai | ₽65.12/M | ₽326/M | ₽2 930 |
| mistralai · mistral-medium-3.1 | mistralai | ₽65.12/M | ₽326/M | ₽2 930 |
| qwen 2.5 coder 32b instruct | qwen | ₽107/M | ₽163/M | ₽2 963 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽48.84/M | ₽407/M | ₽3 012 |
| gemini 2.5 flash image | ₽48.84/M | ₽407/M | ₽3 012 | |
| gemini 3.5 flash lite | ₽48.84/M | ₽407/M | ₽3 012 | |
| Nova 2 Lite | amazon | ₽48.84/M | ₽407/M | ₽3 012 |
| deepseek v4 pro | deepseek | ₽103/M | ₽206/M | ₽3 085 |
| deepseek r1 distill llama 70b | deepseek | ₽130/M | ₽130/M | ₽3 256 |
| DeepSeek R1 | deepseek r1 | ₽81.40/M | ₽350/M | ₽3 378 |
| Aion-3.0-Mini | AionLabs | ₽114/M | ₽228/M | ₽3 419 |
| Virtuoso Large | arcee ai | ₽122/M | ₽195/M | ₽3 419 |
| glm 4.5v | z ai | ₽97.68/M | ₽293/M | ₽3 419 |
| Llama 3.1 Euryale 70B v2.2 | sao10k | ₽138/M | ₽138/M | ₽3 460 |
| minimax m1 | minimax | ₽89.54/M | ₽358/M | ₽3 582 |
| morph · morph-v3-fast | morph | ₽130/M | ₽195/M | ₽3 582 |
| Kimi K2 | kimi k2 | ₽92.80/M | ₽374/M | ₽3 728 |
| glm 4.5 | z ai | ₽97.68/M | ₽358/M | ₽3 744 |
| Apply 3 | relace | ₽138/M | ₽204/M | ₽3 785 |
| Aion-2.0 | aion labs | ₽130/M | ₽260/M | ₽3 907 |
| Aion-RP 1.0 (8B) | aion labs | ₽130/M | ₽260/M | ₽3 907 |
| gpt audio mini | openai | ₽97.68/M | ₽391/M | ₽3 907 |
| Gemini 3 Flash | gemini 3 flash | ₽81.40/M | ₽488/M | ₽4 070 |
| 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 | nousresearch | ₽163/M | ₽163/M | ₽4 070 |
| Sonar | perplexity | ₽163/M | ₽163/M | ₽4 070 |
| Kimi K2.5 | kimi k2.5 | ₽92.80/M | ₽464/M | ₽4 176 |
| glm 5.2 | z ai | ₽81.40/M | ₽513/M | ₽4 192 |
| morph · morph-v3-large | morph | ₽147/M | ₽309/M | ₽4 477 |
| qwen3.5 397b a17b | qwen | ₽81.40/M | ₽586/M | ₽4 558 |
| qwen3 coder plus | qwen | ₽106/M | ₽529/M | ₽4 762 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽120/M | ₽482/M | ₽4 819 |
| grok build 0.1 | x ai | ₽163/M | ₽326/M | ₽4 884 |
| Nemotron 3 Ultra | nvidia | ₽97.68/M | ₽586/M | ₽4 884 |
| qwen3.6 27b | qwen | ₽97.68/M | ₽586/M | ₽4 884 |
| Cogito v2.1 671B | deepcogito | ₽204/M | ₽204/M | ₽5 088 |
| kimi k2.7 code | moonshotai | ₽114/M | ₽570/M | ₽5 128 |
| GLM-5 | glm 5 | ₽155/M | ₽415/M | ₽5 169 |
| Nova Pro | amazon | ₽130/M | ₽521/M | ₽5 210 |
| Hermes 4 405B | nousresearch | ₽163/M | ₽488/M | ₽5 698 |
| Search | relace | ₽163/M | ₽488/M | ₽5 698 |
| Qwen3 Max | qwen3 max | ₽127/M | ₽635/M | ₽5 714 |
| gpt 5.4 mini | openai | ₽122/M | ₽733/M | ₽6 105 |
| grok 4.20 | x ai | ₽204/M | ₽407/M | ₽6 105 |
| grok 4.20 multi agent | x ai | ₽204/M | ₽407/M | ₽6 105 |
| grok 4.3 | x ai | ₽204/M | ₽407/M | ₽6 105 |
| kimi k2.6 | moonshotai | ₽155/M | ₽651/M | ₽6 349 |
| Namazu | sakana | ₽155/M | ₽651/M | ₽6 349 |
| Inkling | Thinking Machines | ₽155/M | ₽659/M | ₽6 390 |
| Palmyra X5 | writer | ₽97.68/M | ₽977/M | ₽6 838 |
| glm 5 turbo | z ai | ₽195/M | ₽651/M | ₽7 163 |
| O3 Mini | o3 mini | ₽179/M | ₽716/M | ₽7 163 |
| o3 mini high | openai | ₽179/M | ₽716/M | ₽7 163 |
| O4 Mini | o4 mini | ₽179/M | ₽716/M | ₽7 163 |
| o4 mini high | openai | ₽179/M | ₽716/M | ₽7 163 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽163/M | ₽814/M | ₽7 326 |
| Muse Spark 1.1 | muse spark 1.1 | ₽204/M | ₽692/M | ₽7 529 |
| Muse Spark 1.2 | muse spark 1.2 | ₽204/M | ₽692/M | ₽7 529 |
| glm 5.1 | z ai | ₽228/M | ₽716/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 |
| GPT-4o Mini Transcribe | openai | ₽204/M | ₽814/M | ₽8 140 |
| 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 image mini | openai | ₽407/M | ₽326/M | ₽9 768 |
| gpt image 1 mini | openai | ₽407/M | ₽407/M | ₽10 175 |
| gemini 3.6 flash | ₽244/M | ₽1 221/M | ₽10 989 | |
| mistralai · mistral-medium-3-5 | mistralai | ₽244/M | ₽1 221/M | ₽10 989 |
| grok 4.5 | x ai | ₽326/M | ₽977/M | ₽11 396 |
| Mistral Large 2407 | Mistral large 2407 | ₽326/M | ₽977/M | ₽11 396 |
| mistralai · mistral-large | mistralai | ₽326/M | ₽977/M | ₽11 396 |
| mistralai · mixtral-8x22b-instruct | mistralai | ₽326/M | ₽977/M | ₽11 396 |
| Qwen 3.8 Max | alibaba | ₽326/M | ₽977/M | ₽11 396 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽204/M | ₽1 628/M | ₽12 210 |
| gpt 5.1 | 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 |
| GPT-5 | gpt 5 | ₽204/M | ₽1 628/M | ₽12 210 |
| gemini 3.5 flash | ₽244/M | ₽1 465/M | ₽12 210 | |
| gpt 3.5 turbo 16k | openai | ₽488/M | ₽651/M | ₽13 024 |
| gpt 4.1 | openai | ₽326/M | ₽1 302/M | ₽13 024 |
| Jamba Large 1.7 | ai21 | ₽326/M | ₽1 302/M | ₽13 024 |
| O3 | o3 | ₽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 |
| Magnum v4 72B | anthracite org | ₽488/M | ₽814/M | ₽13 838 |
| claude sonnet 5 | anthropic | ₽326/M | ₽1 628/M | ₽14 652 |
| Aion-3.0 | AionLabs | ₽488/M | ₽977/M | ₽14 652 |
| gemini 3 pro image | ₽304/M | ₽1 822/M | ₽15 180 | |
| MAI Image 2.5 Pro (Text to Image) | microsoft | ₽759/M | ₽759/M | ₽15 180 |
| Cohere Command A | cohere command a | ₽407/M | ₽1 628/M | ₽16 280 |
| Command R Plus | command r plus | ₽407/M | ₽1 628/M | ₽16 280 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽326/M | ₽1 954/M | ₽16 280 |
| gemini 3.1 pro preview customtools | ₽326/M | ₽1 954/M | ₽16 280 | |
| gpt audio | openai | ₽407/M | ₽1 628/M | ₽16 280 |
| GPT-4o | gpt 4o | ₽407/M | ₽1 628/M | ₽16 280 |
| GPT-4o Transcribe | openai | ₽407/M | ₽1 628/M | ₽16 280 |
| Mai Image 2.5 | mai image 2.5 | ₽814/M | ₽814/M | ₽16 280 |
| gpt 5.2 | 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 |
| gpt 5.3 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 5.4 | openai | ₽407/M | ₽2 442/M | ₽20 350 |
| kimi k3 | moonshotai | ₽455/M | ₽2 277/M | ₽20 493 |
| Claude Sonnet 4 | claude sonnet 4 | ₽488/M | ₽2 442/M | ₽21 978 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽488/M | ₽2 442/M | ₽21 978 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽488/M | ₽2 442/M | ₽21 978 |
| sonar pro | perplexity | ₽488/M | ₽2 442/M | ₽21 978 |
| csm-1b | sesame | ₽1 140/M | ₽1 140/M | ₽22 792 |
| Orpheus 3B | canopylabs | ₽1 140/M | ₽1 140/M | ₽22 792 |
| zyphra · zonos-v0.1-hybrid | zyphra | ₽1 140/M | ₽1 140/M | ₽22 792 |
| zyphra · zonos-v0.1-transformer | zyphra | ₽1 140/M | ₽1 140/M | ₽22 792 |
| gpt image 2 | gpt image 2 | ₽1 302/M | ₽1 302/M | ₽32 560 |
| Claude Opus 4.5 | claude opus 4 5 | ₽792/M | ₽3 960/M | ₽35 640 |
| Claude Opus 4.6 | claude opus 4 6 | ₽792/M | ₽3 960/M | ₽35 640 |
| Claude Opus 4.7 | claude opus 4 7 | ₽792/M | ₽3 960/M | ₽35 640 |
| claude opus 4.8 | 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 |
| Fugu Ultra | sakana | ₽792/M | ₽4 752/M | ₽39 600 |
| gpt 5.5 | openai | ₽792/M | ₽4 752/M | ₽39 600 |
| gpt 5.6 sol | openai | ₽792/M | ₽4 752/M | ₽39 600 |
| gpt 5.6 sol pro | openai | ₽792/M | ₽4 752/M | ₽39 600 |
| GPT Chat | gpt chat latest | ₽792/M | ₽4 752/M | ₽39 600 |
| gpt 5 image | openai | ₽1 606/M | ₽1 606/M | ₽40 150 |
| gpt image 1 | openai | ₽1 606/M | ₽1 606/M | ₽40 150 |
| grok-voice-tts-1.0 | grok voice tts 1 0 | ₽2 442/M | ₽2 442/M | ₽48 840 |
| mai voice 2 flash | mai voice 2 flash | ₽2 442/M | ₽2 442/M | ₽48 840 |
| Qwen Audio 3.0 Tts Flash | qwen audio 3.0 tts flash | ₽2 442/M | ₽2 442/M | ₽48 840 |
| S2.1 Pro | fish audio | ₽2 442/M | ₽2 442/M | ₽48 840 |
| Voxtral Mini TTS | mistralai | ₽2 605/M | ₽2 605/M | ₽52 096 |
| gpt 4 turbo | openai | ₽1 562/M | ₽4 686/M | ₽54 670 |
| Qwen Audio 3.0 Tts Plus | qwen audio 3.0 tts plus | ₽3 212/M | ₽3 212/M | ₽64 240 |
| claude 5 fable 20260609 | anthropic | ₽1 518/M | ₽7 590/M | ₽68 310 |
| MAI-Voice-2 | microsoft | ₽3 533/M | ₽3 533/M | ₽70 664 |
| O1 | o1 | ₽2 277/M | ₽9 108/M | ₽91 080 |
| Deepgram Aura 2 | deepgram | ₽4 752/M | ₽4 752/M | ₽95 040 |
| Claude Opus 4 | claude opus 4 | ₽2 277/M | ₽11 385/M | ₽102 465 |
| Qwen3-ASR Flash | alibaba | ₽5 544/M | ₽5 544/M | ₽110 880 |
| 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 |
| MiniMax Speech 2.8 Turbo | minimax | ₽9 108/M | ₽9 108/M | ₽182 160 |
| gpt 5.2 pro | openai | ₽3 188/M | ₽25 502/M | ₽191 268 |
| gpt 5.4 pro | openai | ₽4 554/M | ₽27 324/M | ₽227 700 |
| gpt 5.5 pro | openai | ₽4 554/M | ₽27 324/M | ₽227 700 |
| MiniMax Speech 2.8 HD | minimax | ₽15 180/M | ₽15 180/M | ₽303 600 |
| Transcribe 1 | fish audio | ₽15 180/M | ₽15 180/M | ₽303 600 |
| o1 pro | openai | ₽11 385/M | ₽45 540/M | ₽455 400 |
| rerank-v3.5 | rerank v3 5 | ₽151 800/M | ₽151 800/M | ₽3 036 000 |
| parakeet-tdt-0.6b-v3 | parakeet tdt 0 6b v3 | ₽227 700/M | ₽227 700/M | ₽4 554 000 |
| whisper large | whisper large | ₽227 700/M | ₽227 700/M | ₽4 554 000 |
| rerank 4 fast | rerank 4 fast | ₽303 600/M | ₽303 600/M | ₽6 072 000 |
| rerank 4 pro | rerank 4 pro | ₽379 500/M | ₽379 500/M | ₽7 590 000 |
| mistralai · voxtral-mini-transcribe-2602 | mistralai | ₽455 400/M | ₽455 400/M | ₽9 108 000 |
| nova-3 | deepgram | ₽652 740/M | ₽652 740/M | ₽13 054 800 |
| gpt transcribe | gpt transcribe | ₽683 100/M | ₽683 100/M | ₽13 662 000 |
| whisper 1 | openai | ₽910 800/M | ₽910 800/M | ₽18 216 000 |
| chirp 3 | chirp 3 | ₽2 428 800/M | ₽2 428 800/M | ₽48 576 000 |
| Whisper Large V3 Turbo | openai | ₽6 072 000/M | ₽6 072 000/M | ₽121 440 000 |
| Lyria 3 Clip Preview | ₽6 072 000/M | ₽6 072 000/M | ₽151 800 000 | |
| grok stt 20260723 | x ai | ₽15 180 000/M | ₽15 180 000/M | ₽303 600 000 |
| Lyria 3 Pro Preview | ₽12 144 000/M | ₽12 144 000/M | ₽303 600 000 | |
| mai-transcribe-1.5 | mai transcribe 1 5 | ₽54 648 000/M | ₽54 648 000/M | ₽1 092 960 000 |
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/models (HTML-карточки).
- 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 343 моделей AI API. Средняя цена — ₽224 799/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 13.08.2026.