RouterAI
Сайт ↗B2B-платформа: единый API, fallback-маршрутизация и юрлица
- Моделей
- 347
- Средняя цена
- ₽284/M
- Регион
- Россия · сайт на русский
- Оплата
- Рубли (₽), Карты РФ
- Биллинг
- за токены
- API
- OpenAI-compatible
- Юрлица
- Да
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
345 моделей
Текст и чат
оплата за токены · 259
▼
Текст и чат
оплата за токены · 259
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.43/M | ₽0.43/M | ₽9 |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.54/M | ₽0.54/M | ₽11 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.54/M | ₽0.54/M | ₽11 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.54/M | ₽0.54/M | ₽11 |
| bge-base-en-v1.5 | baai | ₽0.54/M | ₽0.54/M | ₽11 |
| E5-Base-v2 | Intfloat | ₽0.54/M | ₽0.54/M | ₽11 |
| GTE-Base | Thenlper | ₽0.54/M | ₽0.54/M | ₽11 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.54/M | ₽0.54/M | ₽11 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.54/M | ₽0.54/M | ₽11 |
| Bge M3 | baai | ₽1.08/M | ₽1.08/M | ₽22 |
| bge-large-en-v1.5 | baai | ₽1.08/M | ₽1.08/M | ₽22 |
| E5-Large-v2 | Intfloat | ₽1.08/M | ₽1.08/M | ₽22 |
| GTE-Large | Thenlper | ₽1.08/M | ₽1.08/M | ₽22 |
| Multilingual-E5-Large | Intfloat | ₽1.08/M | ₽1.08/M | ₽22 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽1.08/M | ₽1.08/M | ₽22 |
| Ling-2.6-flash | inclusionai | ₽1.08/M | ₽3.24/M | ₽38 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽2.16/M | ₽2.16/M | ₽43 |
| rerank-2.5-lite | voyageai | ₽2.16/M | ₽2.16/M | ₽43 |
| text embedding 3 small | openai | ₽2.16/M | ₽2.16/M | ₽43 |
| voyage-4-lite | VoyageAI by MongoDB | ₽2.16/M | ₽2.16/M | ₽43 |
| pplx embed v1 4b | pplx embed v1 4b | ₽3.24/M | ₽3.24/M | ₽65 |
| Ling-3.0-flash | inclusionai | ₽2.27/M | ₽6.00/M | ₽75 |
| granite-4.0-h-micro | ibm granite | ₽1.83/M | ₽12.00/M | ₽97 |
| Nex-N2-Mini | nex agi | ₽2.70/M | ₽10.00/M | ₽104 |
| rerank-2.5 | voyageai | ₽5.39/M | ₽5.39/M | ₽108 |
| voyage-4 | VoyageAI by MongoDB | ₽6.00/M | ₽6.00/M | ₽120 |
| Solar Pro 4 | upstage | ₽3.24/M | ₽12.00/M | ₽125 |
| gpt oss 20b | openai | ₽3.24/M | ₽14.00/M | ₽135 |
| Qwen3.7 Flash | qwen3.7 flash | ₽3.24/M | ₽14.00/M | ₽135 |
| gpt oss 120b | openai | ₽3.24/M | ₽18.00/M | ₽155 |
| gpt-oss-120b (exacto) | OpenAI | ₽3.24/M | ₽18.00/M | ₽155 |
| Granite 4.1 8B | ibm granite | ₽5.39/M | ₽10.00/M | ₽158 |
| gemma 3n e4b it | ₽6.00/M | ₽12.00/M | ₽180 | |
| Laguna XS 2.1 | poolside | ₽6.00/M | ₽12.00/M | ₽180 |
| Mistral Embed 2312 | Mistral | ₽10.00/M | ₽10.00/M | ₽200 |
| Text Embedding ADA | text embedding ada | ₽10.00/M | ₽10.00/M | ₽200 |
| qwen3 30b a3b instruct 2507 | qwen | ₽5.20/M | ₽20.00/M | ₽204 |
| Nemotron 3.5 Lightning | NVIDIA | ₽5.39/M | ₽21.00/M | ₽213 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽5.39/M | ₽21.00/M | ₽213 |
| Hy3 | hy3 | ₽6.00/M | ₽22.00/M | ₽230 |
| voyage-4-large | VoyageAI by MongoDB | ₽12.00/M | ₽12.00/M | ₽240 |
| voyage-multimodal-3.5 | VoyageAI by MongoDB | ₽12.00/M | ₽12.00/M | ₽240 |
| deepseek v4 flash | deepseek | ₽8.00/M | ₽17.00/M | ₽245 |
| Edge | reka | ₽10.00/M | ₽10.00/M | ₽250 |
| mistralai · ministral-3b-2512 | mistralai | ₽10.00/M | ₽10.00/M | ₽250 |
| Reka Edge | rekaai | ₽10.00/M | ₽10.00/M | ₽250 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽8.00/M | ₽21.00/M | ₽265 |
| Laguna S 2.1 | Poolside | ₽9.00/M | ₽19.00/M | ₽275 |
| qwen3.5 9b | qwen | ₽10.00/M | ₽16.00/M | ₽280 |
| Qwen3.5 Flash | alibaba | ₽7.00/M | ₽28.00/M | ₽280 |
| text embedding 3 large | openai | ₽14.00/M | ₽14.00/M | ₽280 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽7.00/M | ₽29.00/M | ₽285 |
| UI-TARS 7B | ByteDance | ₽10.00/M | ₽21.00/M | ₽305 |
| qwen3 32b | qwen | ₽8.00/M | ₽30.00/M | ₽310 |
| qwen3 14b | qwen | ₽10.00/M | ₽23.00/M | ₽315 |
| Codestral Embed 2505 | Mistral | ₽16.00/M | ₽16.00/M | ₽320 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽16.00/M | ₽16.00/M | ₽320 |
| gpt oss safeguard 20b | openai | ₽8.00/M | ₽32.00/M | ₽320 |
| Seed 1.6 Flash | bytedance seed | ₽8.00/M | ₽32.00/M | ₽320 |
| GPT-5 Nano | gpt 5 nano | ₽5.39/M | ₽43.00/M | ₽323 |
| glm 4.7 flash | z ai | ₽6.00/M | ₽43.00/M | ₽335 |
| gemma 4 31b it | ₽8.00/M | ₽37.00/M | ₽345 | |
| gemma 4 26b a4b it | ₽10.00/M | ₽32.00/M | ₽360 | |
| Llama 4 Scout | llama 4 scout | ₽10.00/M | ₽32.00/M | ₽360 |
| Step 3.5 Flash | step 3.5 flash | ₽10.00/M | ₽32.00/M | ₽360 |
| Voxtral Small 24B 2507 | mistralai | ₽10.00/M | ₽32.00/M | ₽360 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽9.00/M | ₽43.00/M | ₽395 |
| mistralai · ministral-8b-2512 | mistralai | ₽16.00/M | ₽16.00/M | ₽400 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽10.00/M | ₽43.00/M | ₽415 |
| gpt 4.1 nano | openai | ₽10.00/M | ₽43.00/M | ₽415 |
| Seed-2.0-Mini | bytedance seed | ₽10.00/M | ₽43.00/M | ₽415 |
| Gemini Embedding 2 | gemini embedding 2 | ₽21.00/M | ₽21.00/M | ₽420 |
| qwen3 vl 32b instruct | qwen | ₽11.00/M | ₽44.00/M | ₽440 |
| mimo v2.5 | mimo v2.5 | ₽15.00/M | ₽30.00/M | ₽450 |
| qwen3 235b a22b 2507 | qwen | ₽9.00/M | ₽59.00/M | ₽475 |
| llama guard 4 12b | meta llama | ₽19.00/M | ₽19.00/M | ₽475 |
| qwen3 8b | qwen | ₽12.00/M | ₽49.00/M | ₽485 |
| qwen3 vl 8b instruct | qwen | ₽12.00/M | ₽49.00/M | ₽485 |
| Ling-2.6-1T | inclusionai | ₽8.00/M | ₽67.00/M | ₽495 |
| Ring-2.6-1T | inclusionai | ₽8.00/M | ₽67.00/M | ₽495 |
| Hermes 4 70B | nousresearch | ₽14.00/M | ₽43.00/M | ₽495 |
| qwen3 30b a3b | qwen | ₽12.00/M | ₽53.00/M | ₽505 |
| gpt 5.6 luna | openai | ₽10.00/M | ₽64.00/M | ₽520 |
| gpt 5.6 luna pro | openai | ₽10.00/M | ₽64.00/M | ₽520 |
| mistralai · ministral-14b-2512 | mistralai | ₽21.00/M | ₽21.00/M | ₽525 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽14.00/M | ₽56.00/M | ₽560 |
| Olmo 3 32B Think | allenai | ₽16.00/M | ₽53.00/M | ₽585 |
| hunyuan a13b | hunyuan a13b | ₽15.00/M | ₽61.00/M | ₽605 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽10.00/M | ₽84.00/M | ₽620 |
| deepseek v3.2 | deepseek | ₽23.00/M | ₽34.00/M | ₽630 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽16.00/M | ₽64.00/M | ₽640 |
| Small 4 | mistralai | ₽16.00/M | ₽64.00/M | ₽640 |
| Solar Pro 3 | upstage | ₽16.00/M | ₽64.00/M | ₽640 |
| qwen3 coder next | qwen | ₽12.00/M | ₽86.00/M | ₽670 |
| qwen3.6 35b a3b | qwen | ₽10.00/M | ₽102/M | ₽710 |
| glm 4.5 air | z ai | ₽14.00/M | ₽91.00/M | ₽735 |
| Llama 4 Maverick | llama 4 maverick | ₽21.00/M | ₽75.00/M | ₽795 |
| qwen3.5 35b a3b | qwen | ₽15.00/M | ₽107/M | ₽835 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽21.00/M | ₽94.00/M | ₽890 |
| Uncensored | Venice | ₽21.00/M | ₽97.00/M | ₽905 |
| Cydonia 24B V4.1 | thedrummer | ₽32.00/M | ₽53.00/M | ₽905 |
| Mercury 2 | inception | ₽26.00/M | ₽80.00/M | ₽920 |
| minimax m2.5 | minimax | ₽23.00/M | ₽97.00/M | ₽945 |
| qwen3 coder flash | qwen | ₽21.00/M | ₽105/M | ₽945 |
| Trinity Large Preview | Arcee AI | ₽26.00/M | ₽86.00/M | ₽950 |
| Qwen Plus | qwen plus | ₽28.00/M | ₽84.00/M | ₽980 |
| minimax m3 | minimax | ₽24.00/M | ₽103/M | ₽995 |
| qwen3.6 flash | qwen | ₽20.00/M | ₽121/M | ₽1 005 |
| minimax m2.7 | minimax | ₽25.00/M | ₽103/M | ₽1 015 |
| deepseek chat v3.1 | deepseek | ₽26.00/M | ₽102/M | ₽1 030 |
| Step 3.7 Flash | step 3.7 flash | ₽21.00/M | ₽124/M | ₽1 040 |
| Nex-N2-Pro | nex agi | ₽26.00/M | ₽107/M | ₽1 055 |
| gpt 5 image mini | openai | — | ₽215/M | ₽1 075 |
| deepseek v3.1 terminus | deepseek | ₽29.00/M | ₽102/M | ₽1 090 |
| DeepSeek V3.1 Terminus (exacto) | DeepSeek | ₽29.00/M | ₽102/M | ₽1 090 |
| minimax m2 | minimax | ₽27.00/M | ₽110/M | ₽1 090 |
| glm 4.6v | z ai | ₽32.00/M | ₽97.00/M | ₽1 125 |
| mistralai · codestral-2508 | mistralai | ₽32.00/M | ₽97.00/M | ₽1 125 |
| Mk1 | perceptron | ₽16.00/M | ₽161/M | ₽1 125 |
| gpt 5.4 nano | openai | ₽22.00/M | ₽141/M | ₽1 145 |
| qwen3 coder | qwen | ₽32.00/M | ₽107/M | ₽1 175 |
| Qwen3 Coder 480B A35B (exacto) | Qwen | ₽32.00/M | ₽107/M | ₽1 175 |
| qwen3.5 27b | qwen | ₽21.00/M | ₽168/M | ₽1 260 |
| KAT-Coder-Pro V1 | kwaipilot | ₽32.00/M | ₽129/M | ₽1 285 |
| LongCat 2.0 | meituan | ₽32.00/M | ₽129/M | ₽1 285 |
| minimax m2 her | minimax | ₽32.00/M | ₽129/M | ₽1 285 |
| minimax m2.1 | minimax | ₽32.00/M | ₽129/M | ₽1 285 |
| Muse Glimmer 30B | Meta | ₽32.00/M | ₽129/M | ₽1 285 |
| gemini 3.1 flash lite | ₽26.00/M | ₽161/M | ₽1 325 | |
| gpt image 1 mini | openai | — | ₽269/M | ₽1 345 |
| qwen3.7 plus | qwen | ₽34.00/M | ₽138/M | ₽1 370 |
| deepseek v4 pro | deepseek | ₽46.00/M | ₽93.00/M | ₽1 385 |
| mimo v2.5 pro | mimo v2.5 pro | ₽46.00/M | ₽93.00/M | ₽1 385 |
| qwen3.5 plus | qwen3.5 plus | ₽28.00/M | ₽168/M | ₽1 400 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽45.00/M | ₽134/M | ₽1 570 |
| gpt 5.1 codex mini | openai | ₽26.00/M | ₽215/M | ₽1 595 |
| GPT-5 Mini | gpt 5 mini | ₽26.00/M | ₽215/M | ₽1 595 |
| Seed 1.6 | bytedance seed | ₽26.00/M | ₽215/M | ₽1 595 |
| Seed-2.0-Lite | bytedance seed | ₽26.00/M | ₽215/M | ₽1 595 |
| Inkling Small | Thinking Machines | ₽48.00/M | ₽129/M | ₽1 605 |
| qwen3.5 397b a17b | qwen | ₽32.00/M | ₽207/M | ₽1 675 |
| qwen3.5 122b a10b | qwen | ₽28.00/M | ₽224/M | ₽1 680 |
| qwen3.6 27b | qwen | ₽32.00/M | ₽215/M | ₽1 715 |
| gpt 4.1 mini | openai | ₽43.00/M | ₽172/M | ₽1 720 |
| qwen3.6 plus | qwen | ₽35.00/M | ₽210/M | ₽1 750 |
| glm 4.7 | z ai | ₽43.00/M | ₽188/M | ₽1 800 |
| glm 4.6 | z ai | ₽46.00/M | ₽188/M | ₽1 860 |
| GLM 4.6 (exacto) | Z.AI | ₽46.00/M | ₽188/M | ₽1 860 |
| Large 3 2512 | mistralai | ₽53.00/M | ₽161/M | ₽1 865 |
| Kimi K2.5 | kimi k2.5 | ₽40.00/M | ₽218/M | ₽1 890 |
| mistralai · mistral-medium-3 | mistralai | ₽43.00/M | ₽215/M | ₽1 935 |
| mistralai · mistral-medium-3.1 | mistralai | ₽43.00/M | ₽215/M | ₽1 935 |
| qwen3 235b a22b | qwen | ₽49.00/M | ₽196/M | ₽1 960 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽32.00/M | ₽269/M | ₽1 985 |
| gemini 3.5 flash lite | ₽32.00/M | ₽269/M | ₽1 985 | |
| Nova 2 Lite | amazon | ₽32.00/M | ₽269/M | ₽1 985 |
| minimax m1 | minimax | ₽43.00/M | ₽237/M | ₽2 045 |
| Gemini 3.1 Flash TTS | ₽107/M | ₽107/M | ₽2 140 | |
| DeepSeek R1 | deepseek r1 | ₽53.00/M | ₽231/M | ₽2 215 |
| Nemotron 3 Ultra | nvidia | ₽53.00/M | ₽237/M | ₽2 245 |
| Virtuoso Large | arcee ai | ₽80.00/M | ₽129/M | ₽2 245 |
| glm 4.5v | z ai | ₽64.00/M | ₽194/M | ₽2 250 |
| Aion-3.0-Mini | AionLabs | ₽75.00/M | ₽151/M | ₽2 255 |
| GLM-5 | glm 5 | ₽64.00/M | ₽207/M | ₽2 315 |
| morph · morph-v3-fast | morph | ₽86.00/M | ₽129/M | ₽2 365 |
| glm 5.2 | z ai | ₽67.00/M | ₽213/M | ₽2 405 |
| Seed 2.1 Turbo | ByteDance Seed | ₽53.00/M | ₽269/M | ₽2 405 |
| Kimi K2 | kimi k2 | ₽61.00/M | ₽248/M | ₽2 460 |
| glm 4.5 | z ai | ₽64.00/M | ₽237/M | ₽2 465 |
| Apply 3 | relace | ₽91.00/M | ₽134/M | ₽2 490 |
| gpt audio mini | openai | ₽64.00/M | ₽258/M | ₽2 570 |
| Aion-2.0 | aion labs | ₽86.00/M | ₽172/M | ₽2 580 |
| Kimi K2 0905 (exacto) | MoonshotAI | ₽64.00/M | ₽269/M | ₽2 625 |
| kimi k2.6 | moonshotai | ₽64.00/M | ₽271/M | ₽2 635 |
| Gemini 3 Flash | gemini 3 flash | ₽53.00/M | ₽323/M | ₽2 675 |
| Seed-2.0-Code | ByteDance Seed | ₽53.00/M | ₽323/M | ₽2 675 |
| morph · morph-v3-large | morph | ₽97.00/M | ₽205/M | ₽2 965 |
| qwen3 coder plus | qwen | ₽70.00/M | ₽350/M | ₽3 150 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽79.00/M | ₽319/M | ₽3 175 |
| grok build 0.1 | x ai | ₽107/M | ₽215/M | ₽3 215 |
| kimi k2.7 code | moonshotai | ₽72.00/M | ₽366/M | ₽3 270 |
| Cogito v2.1 671B | deepcogito | ₽134/M | ₽134/M | ₽3 350 |
| glm 5.1 | z ai | ₽104/M | ₽327/M | ₽3 715 |
| Hermes 4 405B | nousresearch | ₽107/M | ₽323/M | ₽3 755 |
| Search | relace | ₽107/M | ₽323/M | ₽3 755 |
| Qwen3 Max | qwen3 max | ₽84.00/M | ₽420/M | ₽3 780 |
| gpt 5.4 mini | openai | ₽80.00/M | ₽485/M | ₽4 025 |
| grok 4.20 | x ai | ₽134/M | ₽269/M | ₽4 025 |
| grok 4.20 multi agent | x ai | ₽134/M | ₽269/M | ₽4 025 |
| grok 4.3 | x ai | ₽134/M | ₽269/M | ₽4 025 |
| Namazu | sakana | ₽102/M | ₽431/M | ₽4 195 |
| Sakana Namazu | Sakana | ₽102/M | ₽431/M | ₽4 195 |
| Inkling | Thinking Machines | ₽102/M | ₽436/M | ₽4 220 |
| gpt image 2 | gpt image 2 | — | ₽863/M | ₽4 315 |
| Palmyra X5 | writer | ₽64.00/M | ₽647/M | ₽4 515 |
| O4 Mini | o4 mini | ₽118/M | ₽474/M | ₽4 730 |
| o4 mini high | openai | ₽118/M | ₽474/M | ₽4 730 |
| glm 5 turbo | z ai | ₽129/M | ₽431/M | ₽4 735 |
| glm 5v turbo | z ai | ₽129/M | ₽431/M | ₽4 735 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽107/M | ₽539/M | ₽4 835 |
| gpt 5.6 terra | openai | ₽107/M | ₽647/M | ₽5 375 |
| GPT-4o Mini Transcribe | openai | ₽134/M | ₽539/M | ₽5 375 |
| gpt 5 image | openai | — | ₽1 078/M | ₽5 390 |
| gpt image 1 | openai | — | ₽1 078/M | ₽5 390 |
| Muse Spark 1.1 | muse spark 1.1 | ₽148/M | ₽504/M | ₽5 480 |
| Muse Spark 1.2 | muse spark 1.2 | ₽148/M | ₽504/M | ₽5 480 |
| Qwen3.6 Max | qwen3.6 max | ₽110/M | ₽664/M | ₽5 520 |
| qwen3.7 max | qwen | ₽159/M | ₽477/M | ₽5 565 |
| gpt 5.6 terra pro | openai | ₽113/M | ₽679/M | ₽5 655 |
| gemini 3.6 flash | ₽161/M | ₽809/M | ₽7 265 | |
| mistralai · mistral-medium-3-5 | mistralai | ₽161/M | ₽809/M | ₽7 265 |
| grok 4.6 | grok 4.6 | ₽215/M | ₽647/M | ₽7 535 |
| Qwen 3.8 Max | alibaba | ₽215/M | ₽647/M | ₽7 535 |
| Qwen3.8 2.4T A95B | Qwen | ₽215/M | ₽647/M | ₽7 535 |
| grok 4.5 | x ai | ₽226/M | ₽679/M | ₽7 915 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽134/M | ₽1 078/M | ₽8 070 |
| gpt 5.1 | openai | ₽134/M | ₽1 078/M | ₽8 070 |
| gpt 5.1 codex | openai | ₽134/M | ₽1 078/M | ₽8 070 |
| gpt 5.1 codex max | openai | ₽134/M | ₽1 078/M | ₽8 070 |
| GPT-5 | gpt 5 | ₽134/M | ₽1 078/M | ₽8 070 |
| gemini 3.5 flash | ₽161/M | ₽971/M | ₽8 075 | |
| GPT-5.4 Image 2 | openai | — | ₽1 618/M | ₽8 090 |
| gpt 4.1 | openai | ₽215/M | ₽863/M | ₽8 615 |
| Jamba Large 1.7 | ai21 | ₽215/M | ₽863/M | ₽8 615 |
| O3 | o3 | ₽215/M | ₽863/M | ₽8 615 |
| claude sonnet 5 | anthropic | ₽215/M | ₽1 078/M | ₽9 690 |
| Aion-3.0 | AionLabs | ₽323/M | ₽647/M | ₽9 695 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽215/M | ₽1 294/M | ₽10 770 |
| gemini 3.1 pro preview customtools | ₽215/M | ₽1 294/M | ₽10 770 | |
| gpt audio | openai | ₽269/M | ₽1 078/M | ₽10 770 |
| GPT-4o Transcribe | openai | ₽269/M | ₽1 078/M | ₽10 770 |
| gpt 5.2 | openai | ₽188/M | ₽1 510/M | ₽11 310 |
| gpt 5.2 chat | openai | ₽188/M | ₽1 510/M | ₽11 310 |
| gpt 5.2 codex | openai | ₽188/M | ₽1 510/M | ₽11 310 |
| gpt 5.3 codex | openai | ₽188/M | ₽1 510/M | ₽11 310 |
| Nova Premier 1.0 | amazon | ₽269/M | ₽1 348/M | ₽12 120 |
| gpt 5.4 | openai | ₽269/M | ₽1 618/M | ₽13 470 |
| kimi k3 | moonshotai | ₽307/M | ₽1 537/M | ₽13 825 |
| YandexGPT Pro 5.1 | yandex | ₽571/M | ₽571/M | ₽14 275 |
| Claude Sonnet 4 | claude sonnet 4 | ₽323/M | ₽1 618/M | ₽14 550 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽323/M | ₽1 618/M | ₽14 550 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽323/M | ₽1 618/M | ₽14 550 |
| sonar pro | perplexity | ₽323/M | ₽1 618/M | ₽14 550 |
| Claude Opus 4.5 | claude opus 4 5 | ₽539/M | ₽2 697/M | ₽24 265 |
| Claude Opus 4.6 | claude opus 4 6 | ₽539/M | ₽2 697/M | ₽24 265 |
| Claude Opus 4.7 | claude opus 4 7 | ₽539/M | ₽2 697/M | ₽24 265 |
| claude opus 4.8 | anthropic | ₽539/M | ₽2 697/M | ₽24 265 |
| claude opus 5 | anthropic | ₽539/M | ₽2 697/M | ₽24 265 |
| gpt 5.5 | openai | ₽539/M | ₽3 236/M | ₽26 960 |
| gpt 5.6 sol | openai | ₽539/M | ₽3 236/M | ₽26 960 |
| GPT Chat | gpt chat latest | ₽539/M | ₽3 236/M | ₽26 960 |
| gpt 5.6 sol pro | openai | ₽566/M | ₽3 398/M | ₽28 310 |
| Alice AI LLM | aliceai llm | ₽722/M | ₽2 880/M | ₽28 840 |
| claude fable 5 | anthropic | ₽1 186/M | ₽5 934/M | ₽53 390 |
| Claude Opus 4 | claude opus 4 | ₽1 618/M | ₽8 092/M | ₽72 820 |
| gpt 5 pro | openai | ₽1 618/M | ₽12 947/M | ₽97 095 |
| gpt 5.2 pro | openai | ₽2 265/M | ₽18 126/M | ₽135 930 |
| gpt 5.4 pro | openai | ₽3 884/M | ₽23 305/M | ₽194 205 |
| gpt 5.5 pro | openai | ₽3 884/M | ₽23 305/M | ₽194 205 |
Без публичной цены
нет данных в открытых источниках · 86
▼
Без публичной цены
нет данных в открытых источниках · 86
Текст и чат
оплата за токены · 259
▼
Текст и чат
оплата за токены · 259
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| pplx-embed-v1-0.6b | pplx embed v1 0 6b | ₽0.43/M | ₽0.43/M | ₽9 |
| all-MiniLM-L12-v2 | Sentence Transformers | ₽0.54/M | ₽0.54/M | ₽11 |
| all-MiniLM-L6-v2 | Sentence Transformers | ₽0.54/M | ₽0.54/M | ₽11 |
| all-mpnet-base-v2 | Sentence Transformers | ₽0.54/M | ₽0.54/M | ₽11 |
| bge-base-en-v1.5 | baai | ₽0.54/M | ₽0.54/M | ₽11 |
| E5-Base-v2 | Intfloat | ₽0.54/M | ₽0.54/M | ₽11 |
| GTE-Base | Thenlper | ₽0.54/M | ₽0.54/M | ₽11 |
| multi-qa-mpnet-base-dot-v1 | Sentence Transformers | ₽0.54/M | ₽0.54/M | ₽11 |
| paraphrase-MiniLM-L6-v2 | Sentence Transformers | ₽0.54/M | ₽0.54/M | ₽11 |
| Bge M3 | baai | ₽1.08/M | ₽1.08/M | ₽22 |
| bge-large-en-v1.5 | baai | ₽1.08/M | ₽1.08/M | ₽22 |
| E5-Large-v2 | Intfloat | ₽1.08/M | ₽1.08/M | ₽22 |
| GTE-Large | Thenlper | ₽1.08/M | ₽1.08/M | ₽22 |
| Multilingual-E5-Large | Intfloat | ₽1.08/M | ₽1.08/M | ₽22 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽1.08/M | ₽1.08/M | ₽22 |
| Ling-2.6-flash | inclusionai | ₽1.08/M | ₽3.24/M | ₽38 |
| Qwen3 Embedding 4B | qwen3 embedding 4b | ₽2.16/M | ₽2.16/M | ₽43 |
| rerank-2.5-lite | voyageai | ₽2.16/M | ₽2.16/M | ₽43 |
| text embedding 3 small | openai | ₽2.16/M | ₽2.16/M | ₽43 |
| voyage-4-lite | VoyageAI by MongoDB | ₽2.16/M | ₽2.16/M | ₽43 |
| pplx embed v1 4b | pplx embed v1 4b | ₽3.24/M | ₽3.24/M | ₽65 |
| Ling-3.0-flash | inclusionai | ₽2.27/M | ₽6.00/M | ₽75 |
| granite-4.0-h-micro | ibm granite | ₽1.83/M | ₽12.00/M | ₽97 |
| Nex-N2-Mini | nex agi | ₽2.70/M | ₽10.00/M | ₽104 |
| rerank-2.5 | voyageai | ₽5.39/M | ₽5.39/M | ₽108 |
| voyage-4 | VoyageAI by MongoDB | ₽6.00/M | ₽6.00/M | ₽120 |
| Solar Pro 4 | upstage | ₽3.24/M | ₽12.00/M | ₽125 |
| gpt oss 20b | openai | ₽3.24/M | ₽14.00/M | ₽135 |
| Qwen3.7 Flash | qwen3.7 flash | ₽3.24/M | ₽14.00/M | ₽135 |
| gpt oss 120b | openai | ₽3.24/M | ₽18.00/M | ₽155 |
| gpt-oss-120b (exacto) | OpenAI | ₽3.24/M | ₽18.00/M | ₽155 |
| Granite 4.1 8B | ibm granite | ₽5.39/M | ₽10.00/M | ₽158 |
| gemma 3n e4b it | ₽6.00/M | ₽12.00/M | ₽180 | |
| Laguna XS 2.1 | poolside | ₽6.00/M | ₽12.00/M | ₽180 |
| Mistral Embed 2312 | Mistral | ₽10.00/M | ₽10.00/M | ₽200 |
| Text Embedding ADA | text embedding ada | ₽10.00/M | ₽10.00/M | ₽200 |
| qwen3 30b a3b instruct 2507 | qwen | ₽5.20/M | ₽20.00/M | ₽204 |
| Nemotron 3.5 Lightning | NVIDIA | ₽5.39/M | ₽21.00/M | ₽213 |
| Nvidia Nemotron 3 Nano 30B A3B | nvidia nemotron 3 nano 30b a3b | ₽5.39/M | ₽21.00/M | ₽213 |
| Hy3 | hy3 | ₽6.00/M | ₽22.00/M | ₽230 |
| voyage-4-large | VoyageAI by MongoDB | ₽12.00/M | ₽12.00/M | ₽240 |
| voyage-multimodal-3.5 | VoyageAI by MongoDB | ₽12.00/M | ₽12.00/M | ₽240 |
| deepseek v4 flash | deepseek | ₽8.00/M | ₽17.00/M | ₽245 |
| Edge | reka | ₽10.00/M | ₽10.00/M | ₽250 |
| mistralai · ministral-3b-2512 | mistralai | ₽10.00/M | ₽10.00/M | ₽250 |
| Reka Edge | rekaai | ₽10.00/M | ₽10.00/M | ₽250 |
| mistralai · mistral-small-3.2-24b-instruct | mistralai | ₽8.00/M | ₽21.00/M | ₽265 |
| Laguna S 2.1 | Poolside | ₽9.00/M | ₽19.00/M | ₽275 |
| qwen3.5 9b | qwen | ₽10.00/M | ₽16.00/M | ₽280 |
| Qwen3.5 Flash | alibaba | ₽7.00/M | ₽28.00/M | ₽280 |
| text embedding 3 large | openai | ₽14.00/M | ₽14.00/M | ₽280 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽7.00/M | ₽29.00/M | ₽285 |
| UI-TARS 7B | ByteDance | ₽10.00/M | ₽21.00/M | ₽305 |
| qwen3 32b | qwen | ₽8.00/M | ₽30.00/M | ₽310 |
| qwen3 14b | qwen | ₽10.00/M | ₽23.00/M | ₽315 |
| Codestral Embed 2505 | Mistral | ₽16.00/M | ₽16.00/M | ₽320 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽16.00/M | ₽16.00/M | ₽320 |
| gpt oss safeguard 20b | openai | ₽8.00/M | ₽32.00/M | ₽320 |
| Seed 1.6 Flash | bytedance seed | ₽8.00/M | ₽32.00/M | ₽320 |
| GPT-5 Nano | gpt 5 nano | ₽5.39/M | ₽43.00/M | ₽323 |
| glm 4.7 flash | z ai | ₽6.00/M | ₽43.00/M | ₽335 |
| gemma 4 31b it | ₽8.00/M | ₽37.00/M | ₽345 | |
| gemma 4 26b a4b it | ₽10.00/M | ₽32.00/M | ₽360 | |
| Llama 4 Scout | llama 4 scout | ₽10.00/M | ₽32.00/M | ₽360 |
| Step 3.5 Flash | step 3.5 flash | ₽10.00/M | ₽32.00/M | ₽360 |
| Voxtral Small 24B 2507 | mistralai | ₽10.00/M | ₽32.00/M | ₽360 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽9.00/M | ₽43.00/M | ₽395 |
| mistralai · ministral-8b-2512 | mistralai | ₽16.00/M | ₽16.00/M | ₽400 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽10.00/M | ₽43.00/M | ₽415 |
| gpt 4.1 nano | openai | ₽10.00/M | ₽43.00/M | ₽415 |
| Seed-2.0-Mini | bytedance seed | ₽10.00/M | ₽43.00/M | ₽415 |
| Gemini Embedding 2 | gemini embedding 2 | ₽21.00/M | ₽21.00/M | ₽420 |
| qwen3 vl 32b instruct | qwen | ₽11.00/M | ₽44.00/M | ₽440 |
| mimo v2.5 | mimo v2.5 | ₽15.00/M | ₽30.00/M | ₽450 |
| qwen3 235b a22b 2507 | qwen | ₽9.00/M | ₽59.00/M | ₽475 |
| llama guard 4 12b | meta llama | ₽19.00/M | ₽19.00/M | ₽475 |
| qwen3 8b | qwen | ₽12.00/M | ₽49.00/M | ₽485 |
| qwen3 vl 8b instruct | qwen | ₽12.00/M | ₽49.00/M | ₽485 |
| Ling-2.6-1T | inclusionai | ₽8.00/M | ₽67.00/M | ₽495 |
| Ring-2.6-1T | inclusionai | ₽8.00/M | ₽67.00/M | ₽495 |
| Hermes 4 70B | nousresearch | ₽14.00/M | ₽43.00/M | ₽495 |
| qwen3 30b a3b | qwen | ₽12.00/M | ₽53.00/M | ₽505 |
| gpt 5.6 luna | openai | ₽10.00/M | ₽64.00/M | ₽520 |
| gpt 5.6 luna pro | openai | ₽10.00/M | ₽64.00/M | ₽520 |
| mistralai · ministral-14b-2512 | mistralai | ₽21.00/M | ₽21.00/M | ₽525 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽14.00/M | ₽56.00/M | ₽560 |
| Olmo 3 32B Think | allenai | ₽16.00/M | ₽53.00/M | ₽585 |
| hunyuan a13b | hunyuan a13b | ₽15.00/M | ₽61.00/M | ₽605 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽10.00/M | ₽84.00/M | ₽620 |
| deepseek v3.2 | deepseek | ₽23.00/M | ₽34.00/M | ₽630 |
| KAT-Coder-Air V2.5 | Kwaipilot | ₽16.00/M | ₽64.00/M | ₽640 |
| Small 4 | mistralai | ₽16.00/M | ₽64.00/M | ₽640 |
| Solar Pro 3 | upstage | ₽16.00/M | ₽64.00/M | ₽640 |
| qwen3 coder next | qwen | ₽12.00/M | ₽86.00/M | ₽670 |
| qwen3.6 35b a3b | qwen | ₽10.00/M | ₽102/M | ₽710 |
| glm 4.5 air | z ai | ₽14.00/M | ₽91.00/M | ₽735 |
| Llama 4 Maverick | llama 4 maverick | ₽21.00/M | ₽75.00/M | ₽795 |
| qwen3.5 35b a3b | qwen | ₽15.00/M | ₽107/M | ₽835 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽21.00/M | ₽94.00/M | ₽890 |
| Uncensored | Venice | ₽21.00/M | ₽97.00/M | ₽905 |
| Cydonia 24B V4.1 | thedrummer | ₽32.00/M | ₽53.00/M | ₽905 |
| Mercury 2 | inception | ₽26.00/M | ₽80.00/M | ₽920 |
| minimax m2.5 | minimax | ₽23.00/M | ₽97.00/M | ₽945 |
| qwen3 coder flash | qwen | ₽21.00/M | ₽105/M | ₽945 |
| Trinity Large Preview | Arcee AI | ₽26.00/M | ₽86.00/M | ₽950 |
| Qwen Plus | qwen plus | ₽28.00/M | ₽84.00/M | ₽980 |
| minimax m3 | minimax | ₽24.00/M | ₽103/M | ₽995 |
| qwen3.6 flash | qwen | ₽20.00/M | ₽121/M | ₽1 005 |
| minimax m2.7 | minimax | ₽25.00/M | ₽103/M | ₽1 015 |
| deepseek chat v3.1 | deepseek | ₽26.00/M | ₽102/M | ₽1 030 |
| Step 3.7 Flash | step 3.7 flash | ₽21.00/M | ₽124/M | ₽1 040 |
| Nex-N2-Pro | nex agi | ₽26.00/M | ₽107/M | ₽1 055 |
| gpt 5 image mini | openai | — | ₽215/M | ₽1 075 |
| deepseek v3.1 terminus | deepseek | ₽29.00/M | ₽102/M | ₽1 090 |
| DeepSeek V3.1 Terminus (exacto) | DeepSeek | ₽29.00/M | ₽102/M | ₽1 090 |
| minimax m2 | minimax | ₽27.00/M | ₽110/M | ₽1 090 |
| glm 4.6v | z ai | ₽32.00/M | ₽97.00/M | ₽1 125 |
| mistralai · codestral-2508 | mistralai | ₽32.00/M | ₽97.00/M | ₽1 125 |
| Mk1 | perceptron | ₽16.00/M | ₽161/M | ₽1 125 |
| gpt 5.4 nano | openai | ₽22.00/M | ₽141/M | ₽1 145 |
| qwen3 coder | qwen | ₽32.00/M | ₽107/M | ₽1 175 |
| Qwen3 Coder 480B A35B (exacto) | Qwen | ₽32.00/M | ₽107/M | ₽1 175 |
| qwen3.5 27b | qwen | ₽21.00/M | ₽168/M | ₽1 260 |
| KAT-Coder-Pro V1 | kwaipilot | ₽32.00/M | ₽129/M | ₽1 285 |
| LongCat 2.0 | meituan | ₽32.00/M | ₽129/M | ₽1 285 |
| minimax m2 her | minimax | ₽32.00/M | ₽129/M | ₽1 285 |
| minimax m2.1 | minimax | ₽32.00/M | ₽129/M | ₽1 285 |
| Muse Glimmer 30B | Meta | ₽32.00/M | ₽129/M | ₽1 285 |
| gemini 3.1 flash lite | ₽26.00/M | ₽161/M | ₽1 325 | |
| gpt image 1 mini | openai | — | ₽269/M | ₽1 345 |
| qwen3.7 plus | qwen | ₽34.00/M | ₽138/M | ₽1 370 |
| deepseek v4 pro | deepseek | ₽46.00/M | ₽93.00/M | ₽1 385 |
| mimo v2.5 pro | mimo v2.5 pro | ₽46.00/M | ₽93.00/M | ₽1 385 |
| qwen3.5 plus | qwen3.5 plus | ₽28.00/M | ₽168/M | ₽1 400 |
| ERNIE 4.5 VL 424B A47B | baidu | ₽45.00/M | ₽134/M | ₽1 570 |
| gpt 5.1 codex mini | openai | ₽26.00/M | ₽215/M | ₽1 595 |
| GPT-5 Mini | gpt 5 mini | ₽26.00/M | ₽215/M | ₽1 595 |
| Seed 1.6 | bytedance seed | ₽26.00/M | ₽215/M | ₽1 595 |
| Seed-2.0-Lite | bytedance seed | ₽26.00/M | ₽215/M | ₽1 595 |
| Inkling Small | Thinking Machines | ₽48.00/M | ₽129/M | ₽1 605 |
| qwen3.5 397b a17b | qwen | ₽32.00/M | ₽207/M | ₽1 675 |
| qwen3.5 122b a10b | qwen | ₽28.00/M | ₽224/M | ₽1 680 |
| qwen3.6 27b | qwen | ₽32.00/M | ₽215/M | ₽1 715 |
| gpt 4.1 mini | openai | ₽43.00/M | ₽172/M | ₽1 720 |
| qwen3.6 plus | qwen | ₽35.00/M | ₽210/M | ₽1 750 |
| glm 4.7 | z ai | ₽43.00/M | ₽188/M | ₽1 800 |
| glm 4.6 | z ai | ₽46.00/M | ₽188/M | ₽1 860 |
| GLM 4.6 (exacto) | Z.AI | ₽46.00/M | ₽188/M | ₽1 860 |
| Large 3 2512 | mistralai | ₽53.00/M | ₽161/M | ₽1 865 |
| Kimi K2.5 | kimi k2.5 | ₽40.00/M | ₽218/M | ₽1 890 |
| mistralai · mistral-medium-3 | mistralai | ₽43.00/M | ₽215/M | ₽1 935 |
| mistralai · mistral-medium-3.1 | mistralai | ₽43.00/M | ₽215/M | ₽1 935 |
| qwen3 235b a22b | qwen | ₽49.00/M | ₽196/M | ₽1 960 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽32.00/M | ₽269/M | ₽1 985 |
| gemini 3.5 flash lite | ₽32.00/M | ₽269/M | ₽1 985 | |
| Nova 2 Lite | amazon | ₽32.00/M | ₽269/M | ₽1 985 |
| minimax m1 | minimax | ₽43.00/M | ₽237/M | ₽2 045 |
| Gemini 3.1 Flash TTS | ₽107/M | ₽107/M | ₽2 140 | |
| DeepSeek R1 | deepseek r1 | ₽53.00/M | ₽231/M | ₽2 215 |
| Nemotron 3 Ultra | nvidia | ₽53.00/M | ₽237/M | ₽2 245 |
| Virtuoso Large | arcee ai | ₽80.00/M | ₽129/M | ₽2 245 |
| glm 4.5v | z ai | ₽64.00/M | ₽194/M | ₽2 250 |
| Aion-3.0-Mini | AionLabs | ₽75.00/M | ₽151/M | ₽2 255 |
| GLM-5 | glm 5 | ₽64.00/M | ₽207/M | ₽2 315 |
| morph · morph-v3-fast | morph | ₽86.00/M | ₽129/M | ₽2 365 |
| glm 5.2 | z ai | ₽67.00/M | ₽213/M | ₽2 405 |
| Seed 2.1 Turbo | ByteDance Seed | ₽53.00/M | ₽269/M | ₽2 405 |
| Kimi K2 | kimi k2 | ₽61.00/M | ₽248/M | ₽2 460 |
| glm 4.5 | z ai | ₽64.00/M | ₽237/M | ₽2 465 |
| Apply 3 | relace | ₽91.00/M | ₽134/M | ₽2 490 |
| gpt audio mini | openai | ₽64.00/M | ₽258/M | ₽2 570 |
| Aion-2.0 | aion labs | ₽86.00/M | ₽172/M | ₽2 580 |
| Kimi K2 0905 (exacto) | MoonshotAI | ₽64.00/M | ₽269/M | ₽2 625 |
| kimi k2.6 | moonshotai | ₽64.00/M | ₽271/M | ₽2 635 |
| Gemini 3 Flash | gemini 3 flash | ₽53.00/M | ₽323/M | ₽2 675 |
| Seed-2.0-Code | ByteDance Seed | ₽53.00/M | ₽323/M | ₽2 675 |
| morph · morph-v3-large | morph | ₽97.00/M | ₽205/M | ₽2 965 |
| qwen3 coder plus | qwen | ₽70.00/M | ₽350/M | ₽3 150 |
| KAT-Coder-Pro V2.5 | Kwaipilot | ₽79.00/M | ₽319/M | ₽3 175 |
| grok build 0.1 | x ai | ₽107/M | ₽215/M | ₽3 215 |
| kimi k2.7 code | moonshotai | ₽72.00/M | ₽366/M | ₽3 270 |
| Cogito v2.1 671B | deepcogito | ₽134/M | ₽134/M | ₽3 350 |
| glm 5.1 | z ai | ₽104/M | ₽327/M | ₽3 715 |
| Hermes 4 405B | nousresearch | ₽107/M | ₽323/M | ₽3 755 |
| Search | relace | ₽107/M | ₽323/M | ₽3 755 |
| Qwen3 Max | qwen3 max | ₽84.00/M | ₽420/M | ₽3 780 |
| gpt 5.4 mini | openai | ₽80.00/M | ₽485/M | ₽4 025 |
| grok 4.20 | x ai | ₽134/M | ₽269/M | ₽4 025 |
| grok 4.20 multi agent | x ai | ₽134/M | ₽269/M | ₽4 025 |
| grok 4.3 | x ai | ₽134/M | ₽269/M | ₽4 025 |
| Namazu | sakana | ₽102/M | ₽431/M | ₽4 195 |
| Sakana Namazu | Sakana | ₽102/M | ₽431/M | ₽4 195 |
| Inkling | Thinking Machines | ₽102/M | ₽436/M | ₽4 220 |
| gpt image 2 | gpt image 2 | — | ₽863/M | ₽4 315 |
| Palmyra X5 | writer | ₽64.00/M | ₽647/M | ₽4 515 |
| O4 Mini | o4 mini | ₽118/M | ₽474/M | ₽4 730 |
| o4 mini high | openai | ₽118/M | ₽474/M | ₽4 730 |
| glm 5 turbo | z ai | ₽129/M | ₽431/M | ₽4 735 |
| glm 5v turbo | z ai | ₽129/M | ₽431/M | ₽4 735 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽107/M | ₽539/M | ₽4 835 |
| gpt 5.6 terra | openai | ₽107/M | ₽647/M | ₽5 375 |
| GPT-4o Mini Transcribe | openai | ₽134/M | ₽539/M | ₽5 375 |
| gpt 5 image | openai | — | ₽1 078/M | ₽5 390 |
| gpt image 1 | openai | — | ₽1 078/M | ₽5 390 |
| Muse Spark 1.1 | muse spark 1.1 | ₽148/M | ₽504/M | ₽5 480 |
| Muse Spark 1.2 | muse spark 1.2 | ₽148/M | ₽504/M | ₽5 480 |
| Qwen3.6 Max | qwen3.6 max | ₽110/M | ₽664/M | ₽5 520 |
| qwen3.7 max | qwen | ₽159/M | ₽477/M | ₽5 565 |
| gpt 5.6 terra pro | openai | ₽113/M | ₽679/M | ₽5 655 |
| gemini 3.6 flash | ₽161/M | ₽809/M | ₽7 265 | |
| mistralai · mistral-medium-3-5 | mistralai | ₽161/M | ₽809/M | ₽7 265 |
| grok 4.6 | grok 4.6 | ₽215/M | ₽647/M | ₽7 535 |
| Qwen 3.8 Max | alibaba | ₽215/M | ₽647/M | ₽7 535 |
| Qwen3.8 2.4T A95B | Qwen | ₽215/M | ₽647/M | ₽7 535 |
| grok 4.5 | x ai | ₽226/M | ₽679/M | ₽7 915 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽134/M | ₽1 078/M | ₽8 070 |
| gpt 5.1 | openai | ₽134/M | ₽1 078/M | ₽8 070 |
| gpt 5.1 codex | openai | ₽134/M | ₽1 078/M | ₽8 070 |
| gpt 5.1 codex max | openai | ₽134/M | ₽1 078/M | ₽8 070 |
| GPT-5 | gpt 5 | ₽134/M | ₽1 078/M | ₽8 070 |
| gemini 3.5 flash | ₽161/M | ₽971/M | ₽8 075 | |
| GPT-5.4 Image 2 | openai | — | ₽1 618/M | ₽8 090 |
| gpt 4.1 | openai | ₽215/M | ₽863/M | ₽8 615 |
| Jamba Large 1.7 | ai21 | ₽215/M | ₽863/M | ₽8 615 |
| O3 | o3 | ₽215/M | ₽863/M | ₽8 615 |
| claude sonnet 5 | anthropic | ₽215/M | ₽1 078/M | ₽9 690 |
| Aion-3.0 | AionLabs | ₽323/M | ₽647/M | ₽9 695 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽215/M | ₽1 294/M | ₽10 770 |
| gemini 3.1 pro preview customtools | ₽215/M | ₽1 294/M | ₽10 770 | |
| gpt audio | openai | ₽269/M | ₽1 078/M | ₽10 770 |
| GPT-4o Transcribe | openai | ₽269/M | ₽1 078/M | ₽10 770 |
| gpt 5.2 | openai | ₽188/M | ₽1 510/M | ₽11 310 |
| gpt 5.2 chat | openai | ₽188/M | ₽1 510/M | ₽11 310 |
| gpt 5.2 codex | openai | ₽188/M | ₽1 510/M | ₽11 310 |
| gpt 5.3 codex | openai | ₽188/M | ₽1 510/M | ₽11 310 |
| Nova Premier 1.0 | amazon | ₽269/M | ₽1 348/M | ₽12 120 |
| gpt 5.4 | openai | ₽269/M | ₽1 618/M | ₽13 470 |
| kimi k3 | moonshotai | ₽307/M | ₽1 537/M | ₽13 825 |
| YandexGPT Pro 5.1 | yandex | ₽571/M | ₽571/M | ₽14 275 |
| Claude Sonnet 4 | claude sonnet 4 | ₽323/M | ₽1 618/M | ₽14 550 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽323/M | ₽1 618/M | ₽14 550 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽323/M | ₽1 618/M | ₽14 550 |
| sonar pro | perplexity | ₽323/M | ₽1 618/M | ₽14 550 |
| Claude Opus 4.5 | claude opus 4 5 | ₽539/M | ₽2 697/M | ₽24 265 |
| Claude Opus 4.6 | claude opus 4 6 | ₽539/M | ₽2 697/M | ₽24 265 |
| Claude Opus 4.7 | claude opus 4 7 | ₽539/M | ₽2 697/M | ₽24 265 |
| claude opus 4.8 | anthropic | ₽539/M | ₽2 697/M | ₽24 265 |
| claude opus 5 | anthropic | ₽539/M | ₽2 697/M | ₽24 265 |
| gpt 5.5 | openai | ₽539/M | ₽3 236/M | ₽26 960 |
| gpt 5.6 sol | openai | ₽539/M | ₽3 236/M | ₽26 960 |
| GPT Chat | gpt chat latest | ₽539/M | ₽3 236/M | ₽26 960 |
| gpt 5.6 sol pro | openai | ₽566/M | ₽3 398/M | ₽28 310 |
| Alice AI LLM | aliceai llm | ₽722/M | ₽2 880/M | ₽28 840 |
| claude fable 5 | anthropic | ₽1 186/M | ₽5 934/M | ₽53 390 |
| Claude Opus 4 | claude opus 4 | ₽1 618/M | ₽8 092/M | ₽72 820 |
| gpt 5 pro | openai | ₽1 618/M | ₽12 947/M | ₽97 095 |
| gpt 5.2 pro | openai | ₽2 265/M | ₽18 126/M | ₽135 930 |
| gpt 5.4 pro | openai | ₽3 884/M | ₽23 305/M | ₽194 205 |
| gpt 5.5 pro | openai | ₽3 884/M | ₽23 305/M | ₽194 205 |
Без публичной цены
нет данных в открытых источниках · 86
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Без публичной цены
нет данных в открытых источниках · 86
О провайдере
О сервисе
RouterAI — не просто прокси к моделям, а платформа управления AI-инфраструктурой компании. Один ключ и endpoint: меняете только model в запросе. При сбое upstream запрос уходит на резервного провайдера. Для команд — централизованный биллинг, лимиты на сотрудников и прозрачная аналитика. Подходит B2B-клиентам, которым нужны документы, ЭДО и модели на серверах в России.
Как сравнивать на AI-APISHKA
RouterAI — прямой ₽/1M из каталога, без ratio. Сравнивайте с Zveno (учитывайте подписку) и Polza; для юрлиц — напрямую с ProxyAPI по цене и набору моделей.
Частые вопросы
- Нужен ли VPN для RouterAI?
- Нет. Сервис работает из РФ без VPN; инфраструктура обработки запросов размещена в дата-центрах России.
- Как RouterAI обеспечивает отказоустойчивость?
- При недоступности выбранной модели система автоматически переключает запрос на резервного upstream-провайдера.
- RouterAI подходит для юридических лиц?
- Да: договор, оплата по счёту, закрывающие документы и поддержка электронного документооборота (ЭДО).
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
RouterAI предлагает 347 моделей AI API. Средняя цена — ₽284/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.43/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.