225 моделей, 25+ провайдеров — open-source gateway + managed cloud
- Моделей
- 212
- Средняя цена
- ₽265/M
- Регион
- Зарубежный · сайт на английский
- Оплата
- USD (доллары), Credits (+5% platform fee)
- Биллинг
- за токены
- API
- OpenAI-compatible
+5% platform fee на credit purchases (managed cloud) · ~31 модель с нулевыми ценами (custom/free) — skipped в каталоге · Enterprise features — отдельная лицензия для self-host
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 = 85.6007 ₽ · 1 CNY = 12.7335 ₽ · 29.08.2026
212 моделей
Текст и чат
оплата за токены · 211
▼
Текст и чат
оплата за токены · 211
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Bge M3 | baai | ₽0.86/M | ₽0.86/M | ₽17 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.86/M | ₽0.86/M | ₽17 |
| Qwen3 Reranker 0.6b | qwen3 reranker 0.6b | ₽0.86/M | ₽0.86/M | ₽17 |
| qwen3-embedding-0.6b | qwen | ₽0.86/M | ₽0.86/M | ₽17 |
| text embedding 3 small | openai | ₽1.71/M | ₽1.71/M | ₽34 |
| Qwen Text Embedding v3 | alibaba | ₽2.14/M | ₽2.14/M | ₽43 |
| Qwen3 Reranker 4B | qwen3 reranker 4b | ₽2.14/M | ₽2.14/M | ₽43 |
| Text Embedding 005 | text embedding 005 | ₽2.14/M | ₽2.14/M | ₽43 |
| Text multilingual embedding 002 | ₽2.14/M | ₽2.14/M | ₽43 | |
| Llama 3.2 3B | llama 3.2 3b | ₽2.57/M | ₽4.28/M | ₽73 |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽4.28/M | ₽4.28/M | ₽86 |
| qwen3.7 flash | qwen | ₽2.57/M | ₽11.13/M | ₽107 |
| gpt oss 120b | openai | ₽2.74/M | ₽11.98/M | ₽115 |
| deepseek v4 flash | deepseek | ₽4.37/M | ₽8.90/M | ₽132 |
| gpt oss 20b | openai | ₽4.28/M | ₽17.12/M | ₽171 |
| Text Embedding ADA | text embedding ada | ₽8.56/M | ₽8.56/M | ₽171 |
| Ling-3.0-flash | inclusionai | ₽5.14/M | ₽15.41/M | ₽180 |
| Nemotron 3 Nano 30B | nemotron 3 nano 30b | ₽5.14/M | ₽20.54/M | ₽205 |
| Nemotron 3 Nano Omni | nvidia | ₽5.14/M | ₽20.54/M | ₽205 |
| GLM-4 32B (0414-128k) | glm 4 32b 0414 128k | ₽8.56/M | ₽8.56/M | ₽214 |
| Ministral 3B | ministral 3b 2512 | ₽8.56/M | ₽8.56/M | ₽214 |
| text embedding 3 large | openai | ₽11.13/M | ₽11.13/M | ₽223 |
| qwen3.5 9b | qwen | ₽8.56/M | ₽12.84/M | ₽235 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽5.99/M | ₽23.11/M | ₽235 |
| GLM-4.6V FlashX | glm 4.6v flashx | ₽3.42/M | ₽34.24/M | ₽240 |
| seed 1 6 flash 250715 | seed 1 6 flash 250715 | ₽5.99/M | ₽25.68/M | ₽248 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽12.84/M | ₽12.84/M | ₽257 |
| GPT-5 Nano | gpt 5 nano | ₽4.28/M | ₽34.24/M | ₽257 |
| Qwen Flash | alibaba | ₽4.28/M | ₽34.24/M | ₽257 |
| Qwen3-VL Flash | alibaba | ₽4.28/M | ₽34.24/M | ₽257 |
| Llama 3.2 11B Instruct | llama 3.2 11b instruct | ₽5.99/M | ₽28.25/M | ₽261 |
| gemma 4 26b a4b it | ₽5.99/M | ₽29.10/M | ₽265 | |
| glm 4.7 flash | z ai | ₽5.14/M | ₽34.24/M | ₽274 |
| minimax m2.7 | minimax | ₽6.85/M | ₽27.39/M | ₽274 |
| GLM-4.7 FlashX | glm 4.7 flashx | ₽5.99/M | ₽34.24/M | ₽291 |
| Cosmos 3 Super Reasoner | cosmos3 super reasoner | ₽8.56/M | ₽25.68/M | ₽300 |
| Gemma 3 27B | gemma 3 27b | ₽8.56/M | ₽25.68/M | ₽300 |
| Mistral Small 3.2 | mistral small 2506 | ₽8.56/M | ₽25.68/M | ₽300 |
| qwen3 30b a3b instruct 2507 | qwen | ₽8.56/M | ₽25.68/M | ₽300 |
| qwen3 32b | qwen | ₽8.56/M | ₽25.68/M | ₽300 |
| gemma 4 31b it | ₽8.73/M | ₽25.42/M | ₽302 | |
| Ministral 8B | ministral 8b 2512 | ₽12.84/M | ₽12.84/M | ₽321 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.56/M | ₽34.24/M | ₽342 |
| Gemini Embedding 2 | gemini embedding 2 | ₽17.12/M | ₽17.12/M | ₽342 |
| gpt 4.1 nano | openai | ₽8.56/M | ₽34.24/M | ₽342 |
| DeepSeek-V4-Flash-Vision | deepseek v4 flash vision | ₽11.98/M | ₽23.97/M | ₽360 |
| mimo v2.5 | mimo v2.5 | ₽11.98/M | ₽23.97/M | ₽360 |
| glm 5.3 flash | z ai | ₽11.13/M | ₽34.24/M | ₽394 |
| Hermes 4 70B | hermes 4 70b | ₽11.13/M | ₽34.24/M | ₽394 |
| Llama 3.3 70B | llama 3.3 70b | ₽11.13/M | ₽34.24/M | ₽394 |
| Qwen3 235B A22B Instruct | alibaba | ₽7.70/M | ₽49.65/M | ₽402 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽10.27/M | ₽41.09/M | ₽411 |
| Ministral 14B | ministral 14b 2512 | ₽17.12/M | ₽17.12/M | ₽428 |
| qwen3.8 flash | qwen | ₽12.84/M | ₽40.23/M | ₽458 |
| qwen3 coder next | qwen | ₽9.24/M | ₽57.78/M | ₽474 |
| Hy3 | hy3 | ₽11.98/M | ₽49.65/M | ₽488 |
| GPT-4o Mini | gpt 4o mini | ₽12.84/M | ₽51.36/M | ₽514 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽12.84/M | ₽51.36/M | ₽514 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽17.12/M | ₽42.80/M | ₽556 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽17.12/M | ₽42.80/M | ₽556 |
| Llama 4 Scout 17B Instruct | llama 4 scout 17b instruct | ₽15.41/M | ₽50.50/M | ₽561 |
| glm 4.5 air | z ai | ₽11.13/M | ₽72.76/M | ₽586 |
| deepseek v3.2 | deepseek | ₽22.26/M | ₽32.53/M | ₽608 |
| Qwen-Omni Turbo | alibaba | ₽17.12/M | ₽68.48/M | ₽685 |
| Qwen3 235B A22B FP8 | qwen3 235b a22b fp8 | ₽17.12/M | ₽68.48/M | ₽685 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽17.12/M | ₽75.33/M | ₽719 |
| qwen2.5 vl 72b instruct | qwen | ₽21.40/M | ₽64.20/M | ₽749 |
| minimax m2 | minimax | ₽17.12/M | ₽85.60/M | ₽770 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.84/M | ₽103/M | ₽770 |
| MiniMax Text 01 | MiniMax Text 01 | ₽17.12/M | ₽94.16/M | ₽813 |
| Llama 4 Maverick 17B Instruct | llama 4 maverick 17b instruct | ₽23.11/M | ₽72.76/M | ₽826 |
| gpt 5.6 luna | openai | ₽17.12/M | ₽103/M | ₽856 |
| kimi k2.6 | moonshotai | ₽18.83/M | ₽97.33/M | ₽863 |
| gpt 5.4 nano | openai | ₽17.12/M | ₽107/M | ₽877 |
| codestral 2508 | codestral 2508 | ₽25.68/M | ₽77.04/M | ₽899 |
| glm 4.6v | z ai | ₽25.68/M | ₽77.04/M | ₽899 |
| Nemotron 3 Super 120B | nemotron 3 super 120b | ₽25.68/M | ₽77.04/M | ₽899 |
| minimax m2.1 | minimax | ₽23.11/M | ₽94.16/M | ₽933 |
| minimax m2.5 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m3 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| Qwen3-VL Plus | alibaba | ₽17.12/M | ₽137/M | ₽1 027 |
| qwen3.6 35b a3b | qwen | ₽21.23/M | ₽127/M | ₽1 060 |
| gemini 3.1 flash lite | ₽21.40/M | ₽128/M | ₽1 070 | |
| gemini 3.1 flash lite image | ₽21.40/M | ₽128/M | ₽1 070 | |
| qwen3.6 flash | qwen | ₽21.40/M | ₽128/M | ₽1 070 |
| deepseek v4 pro | deepseek | ₽37.24/M | ₽74.47/M | ₽1 117 |
| mimo v2.5 pro | mimo v2.5 pro | ₽37.24/M | ₽74.47/M | ₽1 117 |
| qwen3 coder flash | qwen | ₽25.68/M | ₽128/M | ₽1 156 |
| llama 3 70b | llama 3 70b | ₽43.66/M | ₽63.34/M | ₽1 190 |
| Qwen Plus | qwen plus | ₽34.24/M | ₽103/M | ₽1 198 |
| ERNIE 4.5 VL 424B A47B | ernie 4.5 vl 424b a47b | ₽35.95/M | ₽107/M | ₽1 254 |
| gpt 5.1 codex mini | openai | ₽21.40/M | ₽171/M | ₽1 284 |
| GPT-5 Mini | gpt 5 mini | ₽21.40/M | ₽171/M | ₽1 284 |
| seed 1 6 250615 | seed 1 6 250615 | ₽21.40/M | ₽171/M | ₽1 284 |
| seed 1 8 251228 | seed 1 8 251228 | ₽21.40/M | ₽171/M | ₽1 284 |
| Seed 1.6 (250915) | seed 1 6 250915 | ₽21.40/M | ₽171/M | ₽1 284 |
| qwen coder plus | qwen coder plus | ₽42.97/M | ₽85.94/M | ₽1 289 |
| qwen3 coder 480b a35b 07 25 | qwen | ₽32.53/M | ₽133/M | ₽1 314 |
| gpt 4.1 mini | openai | ₽34.24/M | ₽137/M | ₽1 370 |
| qwen3.7 plus | qwen | ₽34.24/M | ₽137/M | ₽1 370 |
| glm 4.7 | z ai | ₽32.53/M | ₽169/M | ₽1 498 |
| gpt 3.5 turbo | openai | ₽42.80/M | ₽128/M | ₽1 498 |
| mistral large 2512 | mistral large 2512 | ₽42.80/M | ₽128/M | ₽1 498 |
| Devstral 2 | devstral 2512 | ₽34.24/M | ₽171/M | ₽1 541 |
| Llama 3.1 70B | llama 3.1 70b | ₽61.63/M | ₽61.63/M | ₽1 541 |
| Kimi K2.5 | kimi k2.5 | ₽34.67/M | ₽169/M | ₽1 541 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽25.68/M | ₽214/M | ₽1 584 |
| gemini 3.5 flash lite | ₽25.68/M | ₽214/M | ₽1 584 | |
| MiniCPM-V 4.5 | minicpm v 4.5 | ₽56.33/M | ₽95.02/M | ₽1 602 |
| glm 5.2 | z ai | ₽47.08/M | ₽153/M | ₽1 705 |
| Gemini 2.5 Flash Native Audio Latest | gemini 2.5 flash native audio latest | ₽42.80/M | ₽171/M | ₽1 712 |
| qwen3 235b a22b | qwen | ₽25.68/M | ₽257/M | ₽1 798 |
| glm 4.5v | z ai | ₽51.36/M | ₽154/M | ₽1 798 |
| Llama 3.1 Nemotron Ultra 253B | llama 3.1 nemotron ultra 253b | ₽51.36/M | ₽154/M | ₽1 798 |
| Nemotron 3 Ultra 550B | nemotron 3 ultra 550b | ₽42.80/M | ₽188/M | ₽1 798 |
| glm 4.6 | z ai | ₽47.08/M | ₽188/M | ₽1 883 |
| Kimi K2 | kimi k2 | ₽48.79/M | ₽197/M | ₽1 960 |
| glm 4.5 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| qwen3.8 27b | qwen | ₽35.95/M | ₽257/M | ₽2 003 |
| GPT Realtime 2.1 Mini | gpt realtime 2.1 mini | ₽51.36/M | ₽205/M | ₽2 054 |
| gpt realtime mini | gpt realtime mini | ₽51.36/M | ₽205/M | ₽2 054 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽51.36/M | ₽205/M | ₽2 054 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽51.36/M | ₽205/M | ₽2 054 |
| Gemini 3 Flash | gemini 3 flash | ₽42.80/M | ₽257/M | ₽2 140 |
| qwen3.6 plus | qwen | ₽42.80/M | ₽257/M | ₽2 140 |
| Sonar | perplexity | ₽85.60/M | ₽85.60/M | ₽2 140 |
| GLM-5 | glm 5 | ₽61.63/M | ₽197/M | ₽2 217 |
| qwen3.5 397b a17b | qwen | ₽51.36/M | ₽308/M | ₽2 568 |
| grok build 0.1 | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| glm 5.1 | z ai | ₽79.69/M | ₽251/M | ₽2 848 |
| gemini 3.6 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| gemini 3.7 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| Qwen3 Max | qwen3 max | ₽72.33/M | ₽289/M | ₽2 893 |
| Hermes 4 405B | hermes 4 405b | ₽85.60/M | ₽257/M | ₽2 996 |
| kimi k2.7 code | moonshotai | ₽76.18/M | ₽318/M | ₽3 112 |
| gemini 3.1 flash live preview | gemini 3.1 flash live preview | ₽64.20/M | ₽385/M | ₽3 210 |
| gpt 5.4 mini | openai | ₽64.20/M | ₽385/M | ₽3 210 |
| Grok 4 20 (reasoning) | grok 4 20 reasoning | ₽107/M | ₽214/M | ₽3 210 |
| grok 4.20 non reasoning | grok 4.20 non reasoning | ₽107/M | ₽214/M | ₽3 210 |
| grok 4.3 | x ai | ₽107/M | ₽214/M | ₽3 210 |
| qwen3.7 max | qwen | ₽107/M | ₽321/M | ₽3 745 |
| O3 Mini | o3 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| O4 Mini | o4 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| GLM 4.5 Airx | glm 4.5 airx | ₽94.16/M | ₽385/M | ₽3 809 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽85.60/M | ₽428/M | ₽3 852 |
| qwen3 coder plus | qwen | ₽85.60/M | ₽428/M | ₽3 852 |
| glm 5.3 | z ai | ₽111/M | ₽342/M | ₽3 938 |
| Muse Spark 1.1 | muse spark 1.1 | ₽107/M | ₽364/M | ₽3 959 |
| Muse Spark 1.2 | muse spark 1.2 | ₽107/M | ₽364/M | ₽3 959 |
| GPT-4o Mini Transcribe | openai | ₽107/M | ₽428/M | ₽4 280 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽42.80/M | ₽856/M | ₽5 136 |
| qwen3.8 max | qwen | ₽155/M | ₽466/M | ₽5 438 |
| Qwen Max | qwen max | ₽137/M | ₽548/M | ₽5 478 |
| Qwen3.6 Max | qwen3.6 max | ₽111/M | ₽668/M | ₽5 564 |
| Grok 4.20 Beta 0309 | grok 4.20 beta 0309 non reasoning | ₽171/M | ₽514/M | ₽5 992 |
| Grok 4.20 Beta 0309 (reasoning) | grok 4.20 beta 0309 reasoning | ₽171/M | ₽514/M | ₽5 992 |
| grok 4.5 | x ai | ₽171/M | ₽514/M | ₽5 992 |
| grok 4.6 | grok 4.6 | ₽171/M | ₽514/M | ₽5 992 |
| gpt 4o mini tts | openai | ₽51.36/M | ₽1 027/M | ₽6 163 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽107/M | ₽856/M | ₽6 420 |
| gemini 3.5 flash | ₽128/M | ₽770/M | ₽6 420 | |
| gpt 5.1 | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 codex | openai | ₽107/M | ₽856/M | ₽6 420 |
| GPT-5 | gpt 5 | ₽107/M | ₽856/M | ₽6 420 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽163/M | ₽685/M | ₽6 677 |
| gpt 4.1 | openai | ₽171/M | ₽685/M | ₽6 848 |
| O3 | o3 | ₽171/M | ₽685/M | ₽6 848 |
| sonar reasoning pro | perplexity | ₽171/M | ₽685/M | ₽6 848 |
| GLM 4.5 X | glm 4.5 x | ₽188/M | ₽762/M | ₽7 576 |
| claude sonnet 5 | anthropic | ₽171/M | ₽856/M | ₽7 704 |
| gemini 3 pro image | ₽171/M | ₽1 027/M | ₽8 560 | |
| gemini 3.1 pro | ₽171/M | ₽1 027/M | ₽8 560 | |
| Gemini Pro | gemini pro | ₽171/M | ₽1 027/M | ₽8 560 |
| gpt 5.6 terra | openai | ₽171/M | ₽1 027/M | ₽8 560 |
| gpt image 2 | gpt image 2 | ₽428/M | ₽428/M | ₽8 560 |
| GPT-4o | gpt 4o | ₽214/M | ₽856/M | ₽8 560 |
| GPT-4o Transcribe | openai | ₽214/M | ₽856/M | ₽8 560 |
| gpt 5.2 | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.2 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.3 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽85.60/M | ₽1 712/M | ₽10 272 |
| Gemini 3.1 Flash TTS | ₽85.60/M | ₽1 712/M | ₽10 272 | |
| gpt 5.4 | openai | ₽214/M | ₽1 284/M | ₽10 700 |
| kimi k3 | moonshotai | ₽242/M | ₽1 210/M | ₽10 893 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽257/M | ₽1 284/M | ₽11 556 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽257/M | ₽1 284/M | ₽11 556 |
| Grok 4 | grok 4 | ₽257/M | ₽1 284/M | ₽11 556 |
| sonar pro | perplexity | ₽257/M | ₽1 284/M | ₽11 556 |
| mistral large latest | mistral large latest | ₽342/M | ₽1 027/M | ₽11 984 |
| gemini 2.5 flash image | ₽25.68/M | ₽2 568/M | ₽13 354 | |
| gpt realtime | gpt realtime | ₽342/M | ₽1 370/M | ₽13 696 |
| GPT-Realtime-2.1 | gpt realtime 2 1 | ₽342/M | ₽2 054/M | ₽17 120 |
| Claude Opus 4.5 | claude opus 4 5 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.6 | claude opus 4 6 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.7 | claude opus 4 7 | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 4.8 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 5 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| Fugu Ultra | fugu ultra | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt 5.5 | openai | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt 5.6 sol | openai | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt 4 turbo | openai | ₽856/M | ₽2 568/M | ₽29 960 |
| claude fable 5 | anthropic | ₽856/M | ₽4 280/M | ₽38 520 |
| O1 | o1 | ₽1 284/M | ₽5 136/M | ₽51 360 |
| Claude Opus 4 | claude opus 4 | ₽1 284/M | ₽6 420/M | ₽57 780 |
| gpt 5 pro | openai | ₽1 284/M | ₽10 272/M | ₽77 041 |
| gpt 4 | openai | ₽2 568/M | ₽5 136/M | ₽77 041 |
| gpt 5.2 pro | openai | ₽1 798/M | ₽14 381/M | ₽107 857 |
| gpt 5.4 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| gpt 5.5 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| Grok Imagine | x ai | — | — | — |
| grok-imagine-video-1.5 | grok imagine video 1 5 | — | — | — |
Текст и чат
оплата за токены · 211
▼
Текст и чат
оплата за токены · 211
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Bge M3 | baai | ₽0.86/M | ₽0.86/M | ₽17 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.86/M | ₽0.86/M | ₽17 |
| Qwen3 Reranker 0.6b | qwen3 reranker 0.6b | ₽0.86/M | ₽0.86/M | ₽17 |
| qwen3-embedding-0.6b | qwen | ₽0.86/M | ₽0.86/M | ₽17 |
| text embedding 3 small | openai | ₽1.71/M | ₽1.71/M | ₽34 |
| Qwen Text Embedding v3 | alibaba | ₽2.14/M | ₽2.14/M | ₽43 |
| Qwen3 Reranker 4B | qwen3 reranker 4b | ₽2.14/M | ₽2.14/M | ₽43 |
| Text Embedding 005 | text embedding 005 | ₽2.14/M | ₽2.14/M | ₽43 |
| Text multilingual embedding 002 | ₽2.14/M | ₽2.14/M | ₽43 | |
| Llama 3.2 3B | llama 3.2 3b | ₽2.57/M | ₽4.28/M | ₽73 |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽4.28/M | ₽4.28/M | ₽86 |
| qwen3.7 flash | qwen | ₽2.57/M | ₽11.13/M | ₽107 |
| gpt oss 120b | openai | ₽2.74/M | ₽11.98/M | ₽115 |
| deepseek v4 flash | deepseek | ₽4.37/M | ₽8.90/M | ₽132 |
| gpt oss 20b | openai | ₽4.28/M | ₽17.12/M | ₽171 |
| Text Embedding ADA | text embedding ada | ₽8.56/M | ₽8.56/M | ₽171 |
| Ling-3.0-flash | inclusionai | ₽5.14/M | ₽15.41/M | ₽180 |
| Nemotron 3 Nano 30B | nemotron 3 nano 30b | ₽5.14/M | ₽20.54/M | ₽205 |
| Nemotron 3 Nano Omni | nvidia | ₽5.14/M | ₽20.54/M | ₽205 |
| GLM-4 32B (0414-128k) | glm 4 32b 0414 128k | ₽8.56/M | ₽8.56/M | ₽214 |
| Ministral 3B | ministral 3b 2512 | ₽8.56/M | ₽8.56/M | ₽214 |
| text embedding 3 large | openai | ₽11.13/M | ₽11.13/M | ₽223 |
| qwen3.5 9b | qwen | ₽8.56/M | ₽12.84/M | ₽235 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽5.99/M | ₽23.11/M | ₽235 |
| GLM-4.6V FlashX | glm 4.6v flashx | ₽3.42/M | ₽34.24/M | ₽240 |
| seed 1 6 flash 250715 | seed 1 6 flash 250715 | ₽5.99/M | ₽25.68/M | ₽248 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽12.84/M | ₽12.84/M | ₽257 |
| GPT-5 Nano | gpt 5 nano | ₽4.28/M | ₽34.24/M | ₽257 |
| Qwen Flash | alibaba | ₽4.28/M | ₽34.24/M | ₽257 |
| Qwen3-VL Flash | alibaba | ₽4.28/M | ₽34.24/M | ₽257 |
| Llama 3.2 11B Instruct | llama 3.2 11b instruct | ₽5.99/M | ₽28.25/M | ₽261 |
| gemma 4 26b a4b it | ₽5.99/M | ₽29.10/M | ₽265 | |
| glm 4.7 flash | z ai | ₽5.14/M | ₽34.24/M | ₽274 |
| minimax m2.7 | minimax | ₽6.85/M | ₽27.39/M | ₽274 |
| GLM-4.7 FlashX | glm 4.7 flashx | ₽5.99/M | ₽34.24/M | ₽291 |
| Cosmos 3 Super Reasoner | cosmos3 super reasoner | ₽8.56/M | ₽25.68/M | ₽300 |
| Gemma 3 27B | gemma 3 27b | ₽8.56/M | ₽25.68/M | ₽300 |
| Mistral Small 3.2 | mistral small 2506 | ₽8.56/M | ₽25.68/M | ₽300 |
| qwen3 30b a3b instruct 2507 | qwen | ₽8.56/M | ₽25.68/M | ₽300 |
| qwen3 32b | qwen | ₽8.56/M | ₽25.68/M | ₽300 |
| gemma 4 31b it | ₽8.73/M | ₽25.42/M | ₽302 | |
| Ministral 8B | ministral 8b 2512 | ₽12.84/M | ₽12.84/M | ₽321 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.56/M | ₽34.24/M | ₽342 |
| Gemini Embedding 2 | gemini embedding 2 | ₽17.12/M | ₽17.12/M | ₽342 |
| gpt 4.1 nano | openai | ₽8.56/M | ₽34.24/M | ₽342 |
| DeepSeek-V4-Flash-Vision | deepseek v4 flash vision | ₽11.98/M | ₽23.97/M | ₽360 |
| mimo v2.5 | mimo v2.5 | ₽11.98/M | ₽23.97/M | ₽360 |
| glm 5.3 flash | z ai | ₽11.13/M | ₽34.24/M | ₽394 |
| Hermes 4 70B | hermes 4 70b | ₽11.13/M | ₽34.24/M | ₽394 |
| Llama 3.3 70B | llama 3.3 70b | ₽11.13/M | ₽34.24/M | ₽394 |
| Qwen3 235B A22B Instruct | alibaba | ₽7.70/M | ₽49.65/M | ₽402 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽10.27/M | ₽41.09/M | ₽411 |
| Ministral 14B | ministral 14b 2512 | ₽17.12/M | ₽17.12/M | ₽428 |
| qwen3.8 flash | qwen | ₽12.84/M | ₽40.23/M | ₽458 |
| qwen3 coder next | qwen | ₽9.24/M | ₽57.78/M | ₽474 |
| Hy3 | hy3 | ₽11.98/M | ₽49.65/M | ₽488 |
| GPT-4o Mini | gpt 4o mini | ₽12.84/M | ₽51.36/M | ₽514 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽12.84/M | ₽51.36/M | ₽514 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽17.12/M | ₽42.80/M | ₽556 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽17.12/M | ₽42.80/M | ₽556 |
| Llama 4 Scout 17B Instruct | llama 4 scout 17b instruct | ₽15.41/M | ₽50.50/M | ₽561 |
| glm 4.5 air | z ai | ₽11.13/M | ₽72.76/M | ₽586 |
| deepseek v3.2 | deepseek | ₽22.26/M | ₽32.53/M | ₽608 |
| Qwen-Omni Turbo | alibaba | ₽17.12/M | ₽68.48/M | ₽685 |
| Qwen3 235B A22B FP8 | qwen3 235b a22b fp8 | ₽17.12/M | ₽68.48/M | ₽685 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽17.12/M | ₽75.33/M | ₽719 |
| qwen2.5 vl 72b instruct | qwen | ₽21.40/M | ₽64.20/M | ₽749 |
| minimax m2 | minimax | ₽17.12/M | ₽85.60/M | ₽770 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.84/M | ₽103/M | ₽770 |
| MiniMax Text 01 | MiniMax Text 01 | ₽17.12/M | ₽94.16/M | ₽813 |
| Llama 4 Maverick 17B Instruct | llama 4 maverick 17b instruct | ₽23.11/M | ₽72.76/M | ₽826 |
| gpt 5.6 luna | openai | ₽17.12/M | ₽103/M | ₽856 |
| kimi k2.6 | moonshotai | ₽18.83/M | ₽97.33/M | ₽863 |
| gpt 5.4 nano | openai | ₽17.12/M | ₽107/M | ₽877 |
| codestral 2508 | codestral 2508 | ₽25.68/M | ₽77.04/M | ₽899 |
| glm 4.6v | z ai | ₽25.68/M | ₽77.04/M | ₽899 |
| Nemotron 3 Super 120B | nemotron 3 super 120b | ₽25.68/M | ₽77.04/M | ₽899 |
| minimax m2.1 | minimax | ₽23.11/M | ₽94.16/M | ₽933 |
| minimax m2.5 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| minimax m3 | minimax | ₽25.68/M | ₽103/M | ₽1 027 |
| Qwen3-VL Plus | alibaba | ₽17.12/M | ₽137/M | ₽1 027 |
| qwen3.6 35b a3b | qwen | ₽21.23/M | ₽127/M | ₽1 060 |
| gemini 3.1 flash lite | ₽21.40/M | ₽128/M | ₽1 070 | |
| gemini 3.1 flash lite image | ₽21.40/M | ₽128/M | ₽1 070 | |
| qwen3.6 flash | qwen | ₽21.40/M | ₽128/M | ₽1 070 |
| deepseek v4 pro | deepseek | ₽37.24/M | ₽74.47/M | ₽1 117 |
| mimo v2.5 pro | mimo v2.5 pro | ₽37.24/M | ₽74.47/M | ₽1 117 |
| qwen3 coder flash | qwen | ₽25.68/M | ₽128/M | ₽1 156 |
| llama 3 70b | llama 3 70b | ₽43.66/M | ₽63.34/M | ₽1 190 |
| Qwen Plus | qwen plus | ₽34.24/M | ₽103/M | ₽1 198 |
| ERNIE 4.5 VL 424B A47B | ernie 4.5 vl 424b a47b | ₽35.95/M | ₽107/M | ₽1 254 |
| gpt 5.1 codex mini | openai | ₽21.40/M | ₽171/M | ₽1 284 |
| GPT-5 Mini | gpt 5 mini | ₽21.40/M | ₽171/M | ₽1 284 |
| seed 1 6 250615 | seed 1 6 250615 | ₽21.40/M | ₽171/M | ₽1 284 |
| seed 1 8 251228 | seed 1 8 251228 | ₽21.40/M | ₽171/M | ₽1 284 |
| Seed 1.6 (250915) | seed 1 6 250915 | ₽21.40/M | ₽171/M | ₽1 284 |
| qwen coder plus | qwen coder plus | ₽42.97/M | ₽85.94/M | ₽1 289 |
| qwen3 coder 480b a35b 07 25 | qwen | ₽32.53/M | ₽133/M | ₽1 314 |
| gpt 4.1 mini | openai | ₽34.24/M | ₽137/M | ₽1 370 |
| qwen3.7 plus | qwen | ₽34.24/M | ₽137/M | ₽1 370 |
| glm 4.7 | z ai | ₽32.53/M | ₽169/M | ₽1 498 |
| gpt 3.5 turbo | openai | ₽42.80/M | ₽128/M | ₽1 498 |
| mistral large 2512 | mistral large 2512 | ₽42.80/M | ₽128/M | ₽1 498 |
| Devstral 2 | devstral 2512 | ₽34.24/M | ₽171/M | ₽1 541 |
| Llama 3.1 70B | llama 3.1 70b | ₽61.63/M | ₽61.63/M | ₽1 541 |
| Kimi K2.5 | kimi k2.5 | ₽34.67/M | ₽169/M | ₽1 541 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽25.68/M | ₽214/M | ₽1 584 |
| gemini 3.5 flash lite | ₽25.68/M | ₽214/M | ₽1 584 | |
| MiniCPM-V 4.5 | minicpm v 4.5 | ₽56.33/M | ₽95.02/M | ₽1 602 |
| glm 5.2 | z ai | ₽47.08/M | ₽153/M | ₽1 705 |
| Gemini 2.5 Flash Native Audio Latest | gemini 2.5 flash native audio latest | ₽42.80/M | ₽171/M | ₽1 712 |
| qwen3 235b a22b | qwen | ₽25.68/M | ₽257/M | ₽1 798 |
| glm 4.5v | z ai | ₽51.36/M | ₽154/M | ₽1 798 |
| Llama 3.1 Nemotron Ultra 253B | llama 3.1 nemotron ultra 253b | ₽51.36/M | ₽154/M | ₽1 798 |
| Nemotron 3 Ultra 550B | nemotron 3 ultra 550b | ₽42.80/M | ₽188/M | ₽1 798 |
| glm 4.6 | z ai | ₽47.08/M | ₽188/M | ₽1 883 |
| Kimi K2 | kimi k2 | ₽48.79/M | ₽197/M | ₽1 960 |
| glm 4.5 | z ai | ₽51.36/M | ₽188/M | ₽1 969 |
| qwen3.8 27b | qwen | ₽35.95/M | ₽257/M | ₽2 003 |
| GPT Realtime 2.1 Mini | gpt realtime 2.1 mini | ₽51.36/M | ₽205/M | ₽2 054 |
| gpt realtime mini | gpt realtime mini | ₽51.36/M | ₽205/M | ₽2 054 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽51.36/M | ₽205/M | ₽2 054 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽51.36/M | ₽205/M | ₽2 054 |
| Gemini 3 Flash | gemini 3 flash | ₽42.80/M | ₽257/M | ₽2 140 |
| qwen3.6 plus | qwen | ₽42.80/M | ₽257/M | ₽2 140 |
| Sonar | perplexity | ₽85.60/M | ₽85.60/M | ₽2 140 |
| GLM-5 | glm 5 | ₽61.63/M | ₽197/M | ₽2 217 |
| qwen3.5 397b a17b | qwen | ₽51.36/M | ₽308/M | ₽2 568 |
| grok build 0.1 | x ai | ₽85.60/M | ₽171/M | ₽2 568 |
| glm 5.1 | z ai | ₽79.69/M | ₽251/M | ₽2 848 |
| gemini 3.6 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| gemini 3.7 flash | ₽64.20/M | ₽321/M | ₽2 889 | |
| Qwen3 Max | qwen3 max | ₽72.33/M | ₽289/M | ₽2 893 |
| Hermes 4 405B | hermes 4 405b | ₽85.60/M | ₽257/M | ₽2 996 |
| kimi k2.7 code | moonshotai | ₽76.18/M | ₽318/M | ₽3 112 |
| gemini 3.1 flash live preview | gemini 3.1 flash live preview | ₽64.20/M | ₽385/M | ₽3 210 |
| gpt 5.4 mini | openai | ₽64.20/M | ₽385/M | ₽3 210 |
| Grok 4 20 (reasoning) | grok 4 20 reasoning | ₽107/M | ₽214/M | ₽3 210 |
| grok 4.20 non reasoning | grok 4.20 non reasoning | ₽107/M | ₽214/M | ₽3 210 |
| grok 4.3 | x ai | ₽107/M | ₽214/M | ₽3 210 |
| qwen3.7 max | qwen | ₽107/M | ₽321/M | ₽3 745 |
| O3 Mini | o3 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| O4 Mini | o4 mini | ₽94.16/M | ₽377/M | ₽3 766 |
| GLM 4.5 Airx | glm 4.5 airx | ₽94.16/M | ₽385/M | ₽3 809 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽85.60/M | ₽428/M | ₽3 852 |
| qwen3 coder plus | qwen | ₽85.60/M | ₽428/M | ₽3 852 |
| glm 5.3 | z ai | ₽111/M | ₽342/M | ₽3 938 |
| Muse Spark 1.1 | muse spark 1.1 | ₽107/M | ₽364/M | ₽3 959 |
| Muse Spark 1.2 | muse spark 1.2 | ₽107/M | ₽364/M | ₽3 959 |
| GPT-4o Mini Transcribe | openai | ₽107/M | ₽428/M | ₽4 280 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽42.80/M | ₽856/M | ₽5 136 |
| qwen3.8 max | qwen | ₽155/M | ₽466/M | ₽5 438 |
| Qwen Max | qwen max | ₽137/M | ₽548/M | ₽5 478 |
| Qwen3.6 Max | qwen3.6 max | ₽111/M | ₽668/M | ₽5 564 |
| Grok 4.20 Beta 0309 | grok 4.20 beta 0309 non reasoning | ₽171/M | ₽514/M | ₽5 992 |
| Grok 4.20 Beta 0309 (reasoning) | grok 4.20 beta 0309 reasoning | ₽171/M | ₽514/M | ₽5 992 |
| grok 4.5 | x ai | ₽171/M | ₽514/M | ₽5 992 |
| grok 4.6 | grok 4.6 | ₽171/M | ₽514/M | ₽5 992 |
| gpt 4o mini tts | openai | ₽51.36/M | ₽1 027/M | ₽6 163 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽107/M | ₽856/M | ₽6 420 |
| gemini 3.5 flash | ₽128/M | ₽770/M | ₽6 420 | |
| gpt 5.1 | openai | ₽107/M | ₽856/M | ₽6 420 |
| gpt 5.1 codex | openai | ₽107/M | ₽856/M | ₽6 420 |
| GPT-5 | gpt 5 | ₽107/M | ₽856/M | ₽6 420 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽163/M | ₽685/M | ₽6 677 |
| gpt 4.1 | openai | ₽171/M | ₽685/M | ₽6 848 |
| O3 | o3 | ₽171/M | ₽685/M | ₽6 848 |
| sonar reasoning pro | perplexity | ₽171/M | ₽685/M | ₽6 848 |
| GLM 4.5 X | glm 4.5 x | ₽188/M | ₽762/M | ₽7 576 |
| claude sonnet 5 | anthropic | ₽171/M | ₽856/M | ₽7 704 |
| gemini 3 pro image | ₽171/M | ₽1 027/M | ₽8 560 | |
| gemini 3.1 pro | ₽171/M | ₽1 027/M | ₽8 560 | |
| Gemini Pro | gemini pro | ₽171/M | ₽1 027/M | ₽8 560 |
| gpt 5.6 terra | openai | ₽171/M | ₽1 027/M | ₽8 560 |
| gpt image 2 | gpt image 2 | ₽428/M | ₽428/M | ₽8 560 |
| GPT-4o | gpt 4o | ₽214/M | ₽856/M | ₽8 560 |
| GPT-4o Transcribe | openai | ₽214/M | ₽856/M | ₽8 560 |
| gpt 5.2 | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.2 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| gpt 5.3 codex | openai | ₽150/M | ₽1 198/M | ₽8 988 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽85.60/M | ₽1 712/M | ₽10 272 |
| Gemini 3.1 Flash TTS | ₽85.60/M | ₽1 712/M | ₽10 272 | |
| gpt 5.4 | openai | ₽214/M | ₽1 284/M | ₽10 700 |
| kimi k3 | moonshotai | ₽242/M | ₽1 210/M | ₽10 893 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽257/M | ₽1 284/M | ₽11 556 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽257/M | ₽1 284/M | ₽11 556 |
| Grok 4 | grok 4 | ₽257/M | ₽1 284/M | ₽11 556 |
| sonar pro | perplexity | ₽257/M | ₽1 284/M | ₽11 556 |
| mistral large latest | mistral large latest | ₽342/M | ₽1 027/M | ₽11 984 |
| gemini 2.5 flash image | ₽25.68/M | ₽2 568/M | ₽13 354 | |
| gpt realtime | gpt realtime | ₽342/M | ₽1 370/M | ₽13 696 |
| GPT-Realtime-2.1 | gpt realtime 2 1 | ₽342/M | ₽2 054/M | ₽17 120 |
| Claude Opus 4.5 | claude opus 4 5 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.6 | claude opus 4 6 | ₽428/M | ₽2 140/M | ₽19 260 |
| Claude Opus 4.7 | claude opus 4 7 | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 4.8 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| claude opus 5 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| Fugu Ultra | fugu ultra | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt 5.5 | openai | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt 5.6 sol | openai | ₽428/M | ₽2 568/M | ₽21 400 |
| gpt 4 turbo | openai | ₽856/M | ₽2 568/M | ₽29 960 |
| claude fable 5 | anthropic | ₽856/M | ₽4 280/M | ₽38 520 |
| O1 | o1 | ₽1 284/M | ₽5 136/M | ₽51 360 |
| Claude Opus 4 | claude opus 4 | ₽1 284/M | ₽6 420/M | ₽57 780 |
| gpt 5 pro | openai | ₽1 284/M | ₽10 272/M | ₽77 041 |
| gpt 4 | openai | ₽2 568/M | ₽5 136/M | ₽77 041 |
| gpt 5.2 pro | openai | ₽1 798/M | ₽14 381/M | ₽107 857 |
| gpt 5.4 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| gpt 5.5 pro | openai | ₽2 568/M | ₽15 408/M | ₽128 401 |
| Grok Imagine | x ai | — | — | — |
| grok-imagine-video-1.5 | grok imagine video 1 5 | — | — | — |
О провайдере
О сервисе
LLM Gateway — open-source API gateway (GitHub: theopenco/llmgateway) с managed cloud option. Отличие от OpenRouter: self-hosting, deeper analytics, BYOK. Отличие от LiteLLM: managed dashboard + playground out of the box. На AI-APISHKA — $/1M из pricing.prompt/completion (per-token).
Как сравнивать на AI-APISHKA
Сравнивайте с OpenRouter и Vercel Gateway. Учитывайте +5% fee на managed credits. Self-host — без platform fee, но своя инфраструктура.
Частые вопросы
- LLM Gateway vs OpenRouter?
- LLM Gateway: self-host AGPL, BYOK, analytics. OpenRouter: больше моделей, zero ops. Оба — OpenAI-compatible.
- Сколько стоит platform fee?
- 5% на credit usage в managed cloud. Enterprise — volume discounts.
- Где цены?
- GET https://api.llmgateway.io/v1/models — pricing.prompt/completion (per-token, как OpenRouter).
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
LLM Gateway предлагает 212 моделей AI API. Средняя цена — ₽265/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.86/M (Bge M3).
Сравните цены на Bge M3 , Qwen3 Embedding 8B , Qwen3 Reranker 0.6b , qwen3-embedding-0.6b и text embedding 3 small у других провайдеров или в каталоге агрегаторов . Данные обновлены 30.08.2026.