225 моделей, 25+ провайдеров — open-source gateway + managed cloud
- Моделей
- 177
- Средняя цена
- ₽283/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 = 77.9568 ₽ · 1 CNY = 11.5136 ₽ · 16.07.2026
177 моделей
Текст и чат
оплата за токены · 177
▼
Текст и чат
оплата за токены · 177
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽1.56/M | ₽1.56/M | ₽31 |
| Text Embedding 005 | text embedding 005 | ₽1.95/M | ₽1.95/M | ₽39 |
| Text Embedding V1 | text embedding 004 | ₽1.95/M | ₽1.95/M | ₽39 |
| Text multilingual embedding 002 | ₽1.95/M | ₽1.95/M | ₽39 | |
| Llama 3.2 3B | llama 3.2 3b | ₽2.34/M | ₽3.90/M | ₽66 |
| gpt oss 20b | openai | ₽3.12/M | ₽11.69/M | ₽121 |
| Text Embedding ADA | text embedding ada | ₽7.80/M | ₽7.80/M | ₽156 |
| gpt oss 120b | openai | ₽3.90/M | ₽19.49/M | ₽175 |
| GLM-4 32B (0414-128k) | glm 4 32b 0414 128k | ₽7.80/M | ₽7.80/M | ₽195 |
| Ministral 3B | ministral 3b 2512 | ₽7.80/M | ₽7.80/M | ₽195 |
| text embedding 3 large | openai | ₽10.13/M | ₽10.13/M | ₽203 |
| qwen3.5 9b | qwen | ₽7.80/M | ₽11.69/M | ₽214 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽5.46/M | ₽21.05/M | ₽214 |
| GLM-4.6V FlashX | glm 4.6v flashx | ₽3.12/M | ₽31.18/M | ₽218 |
| seed 1 6 flash 250715 | seed 1 6 flash 250715 | ₽5.46/M | ₽23.39/M | ₽226 |
| GPT-5 Nano | gpt 5 nano | ₽3.90/M | ₽31.18/M | ₽234 |
| Qwen Flash | qwen flash | ₽3.90/M | ₽31.18/M | ₽234 |
| Qwen3 VL Flash | qwen3 vl flash | ₽3.90/M | ₽31.18/M | ₽234 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽11.69/M | ₽11.69/M | ₽234 |
| Llama 3.2 11B Instruct | llama 3.2 11b instruct | ₽5.46/M | ₽25.73/M | ₽238 |
| gemma 4 26b a4b it | ₽5.46/M | ₽26.51/M | ₽242 | |
| glm 4.7 flash | z ai | ₽4.68/M | ₽31.18/M | ₽249 |
| GLM-4.7 FlashX | glm 4.7 flashx | ₽5.46/M | ₽31.18/M | ₽265 |
| Mistral Small 3.2 | mistral small 2506 | ₽7.80/M | ₽23.39/M | ₽273 |
| qwen3 30b a3b instruct 2507 | qwen | ₽7.80/M | ₽23.39/M | ₽273 |
| qwen3 32b | qwen | ₽7.80/M | ₽23.39/M | ₽273 |
| Ministral 8B | ministral 8b 2512 | ₽11.69/M | ₽11.69/M | ₽292 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽7.80/M | ₽31.18/M | ₽312 |
| gemini embedding 2 | gemini embedding 2 | ₽15.59/M | ₽15.59/M | ₽312 |
| gpt 4.1 nano | openai | ₽7.80/M | ₽31.18/M | ₽312 |
| deepseek v4 flash | deepseek | ₽10.91/M | ₽21.83/M | ₽327 |
| mimo v2.5 | mimo v2.5 | ₽10.91/M | ₽21.83/M | ₽327 |
| gemma 4 31b it | ₽10.13/M | ₽29.62/M | ₽351 | |
| Llama 3.3 70B | llama 3.3 70b | ₽10.13/M | ₽31.18/M | ₽359 |
| qwen2.5 vl 72b instruct | qwen | ₽10.13/M | ₽31.18/M | ₽359 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽7.02/M | ₽45.21/M | ₽366 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽9.35/M | ₽37.42/M | ₽374 |
| Ministral 14B | ministral 14b 2512 | ₽15.59/M | ₽15.59/M | ₽390 |
| qwen3 coder next | qwen | ₽8.42/M | ₽52.62/M | ₽431 |
| GPT-4o Mini | gpt 4o mini | ₽11.69/M | ₽46.77/M | ₽468 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽15.59/M | ₽38.98/M | ₽507 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽15.59/M | ₽38.98/M | ₽507 |
| Llama 4 Scout 17B Instruct | llama 4 scout 17b instruct | ₽14.03/M | ₽45.99/M | ₽511 |
| glm 4.5 air | z ai | ₽10.13/M | ₽66.26/M | ₽534 |
| qwen3 235b a22b | qwen | ₽15.59/M | ₽46.77/M | ₽546 |
| deepseek v3.2 | deepseek | ₽20.27/M | ₽29.62/M | ₽553 |
| qwen3 vl 30b a3b instruct | qwen | ₽15.59/M | ₽54.57/M | ₽585 |
| qwen3.6 flash | qwen | ₽11.69/M | ₽70.16/M | ₽585 |
| Qwen Omni Turbo | qwen omni turbo | ₽15.59/M | ₽62.37/M | ₽624 |
| Qwen3 235B A22B FP8 | qwen3 235b a22b fp8 | ₽15.59/M | ₽62.37/M | ₽624 |
| minimax m2 | minimax | ₽15.59/M | ₽77.96/M | ₽702 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽11.69/M | ₽93.55/M | ₽702 |
| MiniMax Text 01 | MiniMax Text 01 | ₽15.59/M | ₽85.75/M | ₽741 |
| Llama 4 Maverick 17B Instruct | llama 4 maverick 17b instruct | ₽21.05/M | ₽66.26/M | ₽752 |
| gpt 5.4 nano | openai | ₽15.59/M | ₽97.45/M | ₽799 |
| codestral 2508 | codestral 2508 | ₽23.39/M | ₽70.16/M | ₽819 |
| glm 4.6v | z ai | ₽23.39/M | ₽70.16/M | ₽819 |
| minimax m2.1 | minimax | ₽21.05/M | ₽85.75/M | ₽850 |
| Qwen3 VL Plus | qwen3 vl plus | ₽15.59/M | ₽125/M | ₽935 |
| minimax m2.5 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2.7 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m3 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| qwen3.6 35b a3b | qwen | ₽19.33/M | ₽116/M | ₽965 |
| gemini 3.1 flash image | ₽19.49/M | ₽117/M | ₽974 | |
| gemini 3.1 flash lite | ₽19.49/M | ₽117/M | ₽974 | |
| gemini 3.1 flash lite image | ₽19.49/M | ₽117/M | ₽974 | |
| Qwen3 Coder 480B A35B Instruct | qwen3 coder 480b a35b instruct | ₽23.39/M | ₽101/M | ₽974 |
| deepseek v4 pro | deepseek | ₽33.91/M | ₽67.82/M | ₽1 017 |
| mimo v2.5 pro | mimo v2.5 pro | ₽33.91/M | ₽67.82/M | ₽1 017 |
| qwen3 coder flash | qwen | ₽23.39/M | ₽117/M | ₽1 052 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽23.39/M | ₽117/M | ₽1 052 |
| LLama 3 (70B) | llama 3 70b | ₽39.76/M | ₽57.69/M | ₽1 084 |
| Qwen Plus | qwen plus | ₽31.18/M | ₽93.55/M | ₽1 091 |
| gpt 5.1 codex mini | openai | ₽19.49/M | ₽156/M | ₽1 169 |
| GPT-5 Mini | gpt 5 mini | ₽19.49/M | ₽156/M | ₽1 169 |
| seed 1 6 250615 | seed 1 6 250615 | ₽19.49/M | ₽156/M | ₽1 169 |
| seed 1 8 251228 | seed 1 8 251228 | ₽19.49/M | ₽156/M | ₽1 169 |
| Seed 1.6 (250915) | seed 1 6 250915 | ₽19.49/M | ₽156/M | ₽1 169 |
| qwen coder plus | qwen coder plus | ₽39.13/M | ₽78.27/M | ₽1 174 |
| gpt 4.1 mini | openai | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3.7 plus | qwen | ₽31.18/M | ₽125/M | ₽1 247 |
| glm 4.7 | z ai | ₽29.62/M | ₽154/M | ₽1 364 |
| gpt 3.5 turbo | openai | ₽38.98/M | ₽117/M | ₽1 364 |
| mistral large 2512 | mistral large 2512 | ₽38.98/M | ₽117/M | ₽1 364 |
| Devstral 2 | devstral 2512 | ₽31.18/M | ₽156/M | ₽1 403 |
| llama 3.1 70b | llama 3.1 70b | ₽56.13/M | ₽56.13/M | ₽1 403 |
| Kimi K2.5 | kimi k2.5 | ₽31.57/M | ₽154/M | ₽1 403 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽23.39/M | ₽195/M | ₽1 442 |
| kimi k2.6 | moonshotai | ₽31.18/M | ₽172/M | ₽1 481 |
| glm 4.5v | z ai | ₽46.77/M | ₽140/M | ₽1 637 |
| Llama 3.1 Nemotron Ultra 253B | llama 3.1 nemotron ultra 253b | ₽46.77/M | ₽140/M | ₽1 637 |
| glm 4.6 | z ai | ₽42.88/M | ₽172/M | ₽1 715 |
| Nemotron 3 Ultra 550B | nemotron 3 ultra 550b | ₽38.98/M | ₽195/M | ₽1 754 |
| Kimi K2 | kimi k2 | ₽44.44/M | ₽179/M | ₽1 785 |
| glm 4.5 | z ai | ₽46.77/M | ₽172/M | ₽1 793 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽46.77/M | ₽187/M | ₽1 871 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽46.77/M | ₽187/M | ₽1 871 |
| Gemini 3 Flash | gemini 3 flash | ₽38.98/M | ₽234/M | ₽1 949 |
| qwen3.6 plus | qwen | ₽38.98/M | ₽234/M | ₽1 949 |
| Sonar | perplexity | ₽77.96/M | ₽77.96/M | ₽1 949 |
| GLM-5 | glm 5 | ₽56.13/M | ₽179/M | ₽2 019 |
| qwen3.5 397b a17b | qwen | ₽46.77/M | ₽281/M | ₽2 339 |
| grok build 0.1 | x ai | ₽77.96/M | ₽156/M | ₽2 339 |
| glm 5.1 | z ai | ₽72.58/M | ₽228/M | ₽2 594 |
| Qwen3 Max | qwen3 max | ₽65.87/M | ₽263/M | ₽2 635 |
| gpt 5.4 mini | openai | ₽58.47/M | ₽351/M | ₽2 923 |
| Grok 4 20 (reasoning) | grok 4 20 reasoning | ₽97.45/M | ₽195/M | ₽2 923 |
| Grok 4.20 Non-Reasoning | grok 4 20 non reasoning | ₽97.45/M | ₽195/M | ₽2 923 |
| grok 4.3 | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| kimi k2.7 code | moonshotai | ₽74.06/M | ₽312/M | ₽3 040 |
| qwen3.7 max | qwen | ₽97.45/M | ₽292/M | ₽3 411 |
| O3 Mini | o3 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| O4 Mini | o4 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| GLM 4.5 Airx | glm 4.5 airx | ₽85.75/M | ₽351/M | ₽3 469 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽77.96/M | ₽390/M | ₽3 508 |
| glm 5.2 | z ai | ₽98.23/M | ₽309/M | ₽3 508 |
| Muse Spark 1.1 | muse spark 1.1 | ₽97.45/M | ₽331/M | ₽3 606 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽109/M | ₽327/M | ₽3 820 |
| gpt 5.6 luna | openai | ₽77.96/M | ₽468/M | ₽3 898 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽38.98/M | ₽780/M | ₽4 677 |
| Qwen Max | qwen max | ₽125/M | ₽499/M | ₽4 989 |
| Qwen3.6 Max | Qwen3.6 Max | ₽101/M | ₽608/M | ₽5 067 |
| grok 4.20 beta 0309 non reasoning | grok 4.20 beta 0309 non reasoning | ₽156/M | ₽468/M | ₽5 457 |
| grok 4.20 beta 0309 reasoning | grok 4.20 beta 0309 reasoning | ₽156/M | ₽468/M | ₽5 457 |
| grok 4.5 | x ai | ₽156/M | ₽468/M | ₽5 457 |
| gpt 4o mini tts | openai | ₽46.77/M | ₽935/M | ₽5 613 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽97.45/M | ₽780/M | ₽5 847 |
| gemini 3.5 flash | ₽117/M | ₽702/M | ₽5 847 | |
| gpt 5 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| GPT-5 | gpt 5 | ₽97.45/M | ₽780/M | ₽5 847 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽148/M | ₽624/M | ₽6 081 |
| gpt 4.1 | openai | ₽156/M | ₽624/M | ₽6 237 |
| O3 | o3 | ₽156/M | ₽624/M | ₽6 237 |
| sonar reasoning pro | perplexity | ₽156/M | ₽624/M | ₽6 237 |
| GLM 4.5 X | glm 4.5 x | ₽172/M | ₽694/M | ₽6 899 |
| claude sonnet 5 | anthropic | ₽156/M | ₽780/M | ₽7 016 |
| gemini 3 pro image | ₽156/M | ₽935/M | ₽7 796 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽156/M | ₽935/M | ₽7 796 |
| Gemini Pro | gemini pro | ₽156/M | ₽935/M | ₽7 796 |
| gpt image 2 | gpt image 2 | ₽390/M | ₽390/M | ₽7 796 |
| GPT-4o | gpt 4o | ₽195/M | ₽780/M | ₽7 796 |
| gpt 5.2 | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.2 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.2 codex | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 codex | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽77.96/M | ₽1 559/M | ₽9 355 |
| gpt 5.4 | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| gpt 5.6 terra | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽234/M | ₽1 169/M | ₽10 524 |
| Grok 4 | grok 4 | ₽234/M | ₽1 169/M | ₽10 524 |
| sonar pro | perplexity | ₽234/M | ₽1 169/M | ₽10 524 |
| mistral large:free | mistral large latest | ₽312/M | ₽935/M | ₽10 914 |
| gemini 2.5 flash image | ₽23.39/M | ₽2 339/M | ₽12 161 | |
| Claude Opus 4.5 | claude opus 4 5 | ₽390/M | ₽1 949/M | ₽17 540 |
| Claude Opus 4.6 | claude opus 4 6 | ₽390/M | ₽1 949/M | ₽17 540 |
| Claude Opus 4.7 | claude opus 4 7 | ₽390/M | ₽1 949/M | ₽17 540 |
| claude opus 4.8 | anthropic | ₽390/M | ₽1 949/M | ₽17 540 |
| Fugu Ultra | fugu ultra | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt 5.5 | openai | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt 5.6 sol | openai | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt 4 turbo | openai | ₽780/M | ₽2 339/M | ₽27 285 |
| qwen3 coder plus | qwen | ₽468/M | ₽4 677/M | ₽32 742 |
| claude fable 5 | anthropic | ₽780/M | ₽3 898/M | ₽35 081 |
| O1 | o1 | ₽1 169/M | ₽4 677/M | ₽46 774 |
| Claude 3 Opus | claude 3 opus | ₽1 169/M | ₽5 847/M | ₽52 621 |
| Claude Opus 4 | claude opus 4 | ₽1 169/M | ₽5 847/M | ₽52 621 |
| gpt 4 | openai | ₽2 339/M | ₽4 677/M | ₽70 161 |
| gpt 5 pro | openai | ₽1 169/M | ₽9 355/M | ₽70 161 |
| gpt 5.2 pro | openai | ₽1 637/M | ₽13 097/M | ₽98 226 |
| gpt 5.4 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
| gpt 5.5 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
| Grok Imagine Image | grok imagine image | — | — | — |
| Grok Imagine Video 1.5 | grok imagine video 1 5 | — | — | — |
Текст и чат
оплата за токены · 177
▼
Текст и чат
оплата за токены · 177
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| text embedding 3 small | openai | ₽1.56/M | ₽1.56/M | ₽31 |
| Text Embedding 005 | text embedding 005 | ₽1.95/M | ₽1.95/M | ₽39 |
| Text Embedding V1 | text embedding 004 | ₽1.95/M | ₽1.95/M | ₽39 |
| Text multilingual embedding 002 | ₽1.95/M | ₽1.95/M | ₽39 | |
| Llama 3.2 3B | llama 3.2 3b | ₽2.34/M | ₽3.90/M | ₽66 |
| gpt oss 20b | openai | ₽3.12/M | ₽11.69/M | ₽121 |
| Text Embedding ADA | text embedding ada | ₽7.80/M | ₽7.80/M | ₽156 |
| gpt oss 120b | openai | ₽3.90/M | ₽19.49/M | ₽175 |
| GLM-4 32B (0414-128k) | glm 4 32b 0414 128k | ₽7.80/M | ₽7.80/M | ₽195 |
| Ministral 3B | ministral 3b 2512 | ₽7.80/M | ₽7.80/M | ₽195 |
| text embedding 3 large | openai | ₽10.13/M | ₽10.13/M | ₽203 |
| qwen3.5 9b | qwen | ₽7.80/M | ₽11.69/M | ₽214 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽5.46/M | ₽21.05/M | ₽214 |
| GLM-4.6V FlashX | glm 4.6v flashx | ₽3.12/M | ₽31.18/M | ₽218 |
| seed 1 6 flash 250715 | seed 1 6 flash 250715 | ₽5.46/M | ₽23.39/M | ₽226 |
| GPT-5 Nano | gpt 5 nano | ₽3.90/M | ₽31.18/M | ₽234 |
| Qwen Flash | qwen flash | ₽3.90/M | ₽31.18/M | ₽234 |
| Qwen3 VL Flash | qwen3 vl flash | ₽3.90/M | ₽31.18/M | ₽234 |
| Gemini Embedding 001 | gemini embedding exp 03 07 | ₽11.69/M | ₽11.69/M | ₽234 |
| Llama 3.2 11B Instruct | llama 3.2 11b instruct | ₽5.46/M | ₽25.73/M | ₽238 |
| gemma 4 26b a4b it | ₽5.46/M | ₽26.51/M | ₽242 | |
| glm 4.7 flash | z ai | ₽4.68/M | ₽31.18/M | ₽249 |
| GLM-4.7 FlashX | glm 4.7 flashx | ₽5.46/M | ₽31.18/M | ₽265 |
| Mistral Small 3.2 | mistral small 2506 | ₽7.80/M | ₽23.39/M | ₽273 |
| qwen3 30b a3b instruct 2507 | qwen | ₽7.80/M | ₽23.39/M | ₽273 |
| qwen3 32b | qwen | ₽7.80/M | ₽23.39/M | ₽273 |
| Ministral 8B | ministral 8b 2512 | ₽11.69/M | ₽11.69/M | ₽292 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽7.80/M | ₽31.18/M | ₽312 |
| gemini embedding 2 | gemini embedding 2 | ₽15.59/M | ₽15.59/M | ₽312 |
| gpt 4.1 nano | openai | ₽7.80/M | ₽31.18/M | ₽312 |
| deepseek v4 flash | deepseek | ₽10.91/M | ₽21.83/M | ₽327 |
| mimo v2.5 | mimo v2.5 | ₽10.91/M | ₽21.83/M | ₽327 |
| gemma 4 31b it | ₽10.13/M | ₽29.62/M | ₽351 | |
| Llama 3.3 70B | llama 3.3 70b | ₽10.13/M | ₽31.18/M | ₽359 |
| qwen2.5 vl 72b instruct | qwen | ₽10.13/M | ₽31.18/M | ₽359 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽7.02/M | ₽45.21/M | ₽366 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽9.35/M | ₽37.42/M | ₽374 |
| Ministral 14B | ministral 14b 2512 | ₽15.59/M | ₽15.59/M | ₽390 |
| qwen3 coder next | qwen | ₽8.42/M | ₽52.62/M | ₽431 |
| GPT-4o Mini | gpt 4o mini | ₽11.69/M | ₽46.77/M | ₽468 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽15.59/M | ₽38.98/M | ₽507 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽15.59/M | ₽38.98/M | ₽507 |
| Llama 4 Scout 17B Instruct | llama 4 scout 17b instruct | ₽14.03/M | ₽45.99/M | ₽511 |
| glm 4.5 air | z ai | ₽10.13/M | ₽66.26/M | ₽534 |
| qwen3 235b a22b | qwen | ₽15.59/M | ₽46.77/M | ₽546 |
| deepseek v3.2 | deepseek | ₽20.27/M | ₽29.62/M | ₽553 |
| qwen3 vl 30b a3b instruct | qwen | ₽15.59/M | ₽54.57/M | ₽585 |
| qwen3.6 flash | qwen | ₽11.69/M | ₽70.16/M | ₽585 |
| Qwen Omni Turbo | qwen omni turbo | ₽15.59/M | ₽62.37/M | ₽624 |
| Qwen3 235B A22B FP8 | qwen3 235b a22b fp8 | ₽15.59/M | ₽62.37/M | ₽624 |
| minimax m2 | minimax | ₽15.59/M | ₽77.96/M | ₽702 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽11.69/M | ₽93.55/M | ₽702 |
| MiniMax Text 01 | MiniMax Text 01 | ₽15.59/M | ₽85.75/M | ₽741 |
| Llama 4 Maverick 17B Instruct | llama 4 maverick 17b instruct | ₽21.05/M | ₽66.26/M | ₽752 |
| gpt 5.4 nano | openai | ₽15.59/M | ₽97.45/M | ₽799 |
| codestral 2508 | codestral 2508 | ₽23.39/M | ₽70.16/M | ₽819 |
| glm 4.6v | z ai | ₽23.39/M | ₽70.16/M | ₽819 |
| minimax m2.1 | minimax | ₽21.05/M | ₽85.75/M | ₽850 |
| Qwen3 VL Plus | qwen3 vl plus | ₽15.59/M | ₽125/M | ₽935 |
| minimax m2.5 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m2.7 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| minimax m3 | minimax | ₽23.39/M | ₽93.55/M | ₽935 |
| qwen3.6 35b a3b | qwen | ₽19.33/M | ₽116/M | ₽965 |
| gemini 3.1 flash image | ₽19.49/M | ₽117/M | ₽974 | |
| gemini 3.1 flash lite | ₽19.49/M | ₽117/M | ₽974 | |
| gemini 3.1 flash lite image | ₽19.49/M | ₽117/M | ₽974 | |
| Qwen3 Coder 480B A35B Instruct | qwen3 coder 480b a35b instruct | ₽23.39/M | ₽101/M | ₽974 |
| deepseek v4 pro | deepseek | ₽33.91/M | ₽67.82/M | ₽1 017 |
| mimo v2.5 pro | mimo v2.5 pro | ₽33.91/M | ₽67.82/M | ₽1 017 |
| qwen3 coder flash | qwen | ₽23.39/M | ₽117/M | ₽1 052 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽23.39/M | ₽117/M | ₽1 052 |
| LLama 3 (70B) | llama 3 70b | ₽39.76/M | ₽57.69/M | ₽1 084 |
| Qwen Plus | qwen plus | ₽31.18/M | ₽93.55/M | ₽1 091 |
| gpt 5.1 codex mini | openai | ₽19.49/M | ₽156/M | ₽1 169 |
| GPT-5 Mini | gpt 5 mini | ₽19.49/M | ₽156/M | ₽1 169 |
| seed 1 6 250615 | seed 1 6 250615 | ₽19.49/M | ₽156/M | ₽1 169 |
| seed 1 8 251228 | seed 1 8 251228 | ₽19.49/M | ₽156/M | ₽1 169 |
| Seed 1.6 (250915) | seed 1 6 250915 | ₽19.49/M | ₽156/M | ₽1 169 |
| qwen coder plus | qwen coder plus | ₽39.13/M | ₽78.27/M | ₽1 174 |
| gpt 4.1 mini | openai | ₽31.18/M | ₽125/M | ₽1 247 |
| qwen3.7 plus | qwen | ₽31.18/M | ₽125/M | ₽1 247 |
| glm 4.7 | z ai | ₽29.62/M | ₽154/M | ₽1 364 |
| gpt 3.5 turbo | openai | ₽38.98/M | ₽117/M | ₽1 364 |
| mistral large 2512 | mistral large 2512 | ₽38.98/M | ₽117/M | ₽1 364 |
| Devstral 2 | devstral 2512 | ₽31.18/M | ₽156/M | ₽1 403 |
| llama 3.1 70b | llama 3.1 70b | ₽56.13/M | ₽56.13/M | ₽1 403 |
| Kimi K2.5 | kimi k2.5 | ₽31.57/M | ₽154/M | ₽1 403 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽23.39/M | ₽195/M | ₽1 442 |
| kimi k2.6 | moonshotai | ₽31.18/M | ₽172/M | ₽1 481 |
| glm 4.5v | z ai | ₽46.77/M | ₽140/M | ₽1 637 |
| Llama 3.1 Nemotron Ultra 253B | llama 3.1 nemotron ultra 253b | ₽46.77/M | ₽140/M | ₽1 637 |
| glm 4.6 | z ai | ₽42.88/M | ₽172/M | ₽1 715 |
| Nemotron 3 Ultra 550B | nemotron 3 ultra 550b | ₽38.98/M | ₽195/M | ₽1 754 |
| Kimi K2 | kimi k2 | ₽44.44/M | ₽179/M | ₽1 785 |
| glm 4.5 | z ai | ₽46.77/M | ₽172/M | ₽1 793 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽46.77/M | ₽187/M | ₽1 871 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽46.77/M | ₽187/M | ₽1 871 |
| Gemini 3 Flash | gemini 3 flash | ₽38.98/M | ₽234/M | ₽1 949 |
| qwen3.6 plus | qwen | ₽38.98/M | ₽234/M | ₽1 949 |
| Sonar | perplexity | ₽77.96/M | ₽77.96/M | ₽1 949 |
| GLM-5 | glm 5 | ₽56.13/M | ₽179/M | ₽2 019 |
| qwen3.5 397b a17b | qwen | ₽46.77/M | ₽281/M | ₽2 339 |
| grok build 0.1 | x ai | ₽77.96/M | ₽156/M | ₽2 339 |
| glm 5.1 | z ai | ₽72.58/M | ₽228/M | ₽2 594 |
| Qwen3 Max | qwen3 max | ₽65.87/M | ₽263/M | ₽2 635 |
| gpt 5.4 mini | openai | ₽58.47/M | ₽351/M | ₽2 923 |
| Grok 4 20 (reasoning) | grok 4 20 reasoning | ₽97.45/M | ₽195/M | ₽2 923 |
| Grok 4.20 Non-Reasoning | grok 4 20 non reasoning | ₽97.45/M | ₽195/M | ₽2 923 |
| grok 4.3 | x ai | ₽97.45/M | ₽195/M | ₽2 923 |
| kimi k2.7 code | moonshotai | ₽74.06/M | ₽312/M | ₽3 040 |
| qwen3.7 max | qwen | ₽97.45/M | ₽292/M | ₽3 411 |
| O3 Mini | o3 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| O4 Mini | o4 mini | ₽85.75/M | ₽343/M | ₽3 430 |
| GLM 4.5 Airx | glm 4.5 airx | ₽85.75/M | ₽351/M | ₽3 469 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽77.96/M | ₽390/M | ₽3 508 |
| glm 5.2 | z ai | ₽98.23/M | ₽309/M | ₽3 508 |
| Muse Spark 1.1 | muse spark 1.1 | ₽97.45/M | ₽331/M | ₽3 606 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽109/M | ₽327/M | ₽3 820 |
| gpt 5.6 luna | openai | ₽77.96/M | ₽468/M | ₽3 898 |
| Gemini 2.5 Flash Preview Tts | gemini 2.5 flash preview tts | ₽38.98/M | ₽780/M | ₽4 677 |
| Qwen Max | qwen max | ₽125/M | ₽499/M | ₽4 989 |
| Qwen3.6 Max | Qwen3.6 Max | ₽101/M | ₽608/M | ₽5 067 |
| grok 4.20 beta 0309 non reasoning | grok 4.20 beta 0309 non reasoning | ₽156/M | ₽468/M | ₽5 457 |
| grok 4.20 beta 0309 reasoning | grok 4.20 beta 0309 reasoning | ₽156/M | ₽468/M | ₽5 457 |
| grok 4.5 | x ai | ₽156/M | ₽468/M | ₽5 457 |
| gpt 4o mini tts | openai | ₽46.77/M | ₽935/M | ₽5 613 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽97.45/M | ₽780/M | ₽5 847 |
| gemini 3.5 flash | ₽117/M | ₽702/M | ₽5 847 | |
| gpt 5 chat | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| gpt 5.1 codex | openai | ₽97.45/M | ₽780/M | ₽5 847 |
| GPT-5 | gpt 5 | ₽97.45/M | ₽780/M | ₽5 847 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽148/M | ₽624/M | ₽6 081 |
| gpt 4.1 | openai | ₽156/M | ₽624/M | ₽6 237 |
| O3 | o3 | ₽156/M | ₽624/M | ₽6 237 |
| sonar reasoning pro | perplexity | ₽156/M | ₽624/M | ₽6 237 |
| GLM 4.5 X | glm 4.5 x | ₽172/M | ₽694/M | ₽6 899 |
| claude sonnet 5 | anthropic | ₽156/M | ₽780/M | ₽7 016 |
| gemini 3 pro image | ₽156/M | ₽935/M | ₽7 796 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽156/M | ₽935/M | ₽7 796 |
| Gemini Pro | gemini pro | ₽156/M | ₽935/M | ₽7 796 |
| gpt image 2 | gpt image 2 | ₽390/M | ₽390/M | ₽7 796 |
| GPT-4o | gpt 4o | ₽195/M | ₽780/M | ₽7 796 |
| gpt 5.2 | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.2 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.2 codex | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 chat | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| gpt 5.3 codex | openai | ₽136/M | ₽1 091/M | ₽8 185 |
| Gemini 2.5 Pro Preview Tts | gemini 2.5 pro preview tts | ₽77.96/M | ₽1 559/M | ₽9 355 |
| gpt 5.4 | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| gpt 5.6 terra | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽234/M | ₽1 169/M | ₽10 524 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽234/M | ₽1 169/M | ₽10 524 |
| Grok 4 | grok 4 | ₽234/M | ₽1 169/M | ₽10 524 |
| sonar pro | perplexity | ₽234/M | ₽1 169/M | ₽10 524 |
| mistral large:free | mistral large latest | ₽312/M | ₽935/M | ₽10 914 |
| gemini 2.5 flash image | ₽23.39/M | ₽2 339/M | ₽12 161 | |
| Claude Opus 4.5 | claude opus 4 5 | ₽390/M | ₽1 949/M | ₽17 540 |
| Claude Opus 4.6 | claude opus 4 6 | ₽390/M | ₽1 949/M | ₽17 540 |
| Claude Opus 4.7 | claude opus 4 7 | ₽390/M | ₽1 949/M | ₽17 540 |
| claude opus 4.8 | anthropic | ₽390/M | ₽1 949/M | ₽17 540 |
| Fugu Ultra | fugu ultra | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt 5.5 | openai | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt 5.6 sol | openai | ₽390/M | ₽2 339/M | ₽19 489 |
| gpt 4 turbo | openai | ₽780/M | ₽2 339/M | ₽27 285 |
| qwen3 coder plus | qwen | ₽468/M | ₽4 677/M | ₽32 742 |
| claude fable 5 | anthropic | ₽780/M | ₽3 898/M | ₽35 081 |
| O1 | o1 | ₽1 169/M | ₽4 677/M | ₽46 774 |
| Claude 3 Opus | claude 3 opus | ₽1 169/M | ₽5 847/M | ₽52 621 |
| Claude Opus 4 | claude opus 4 | ₽1 169/M | ₽5 847/M | ₽52 621 |
| gpt 4 | openai | ₽2 339/M | ₽4 677/M | ₽70 161 |
| gpt 5 pro | openai | ₽1 169/M | ₽9 355/M | ₽70 161 |
| gpt 5.2 pro | openai | ₽1 637/M | ₽13 097/M | ₽98 226 |
| gpt 5.4 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
| gpt 5.5 pro | openai | ₽2 339/M | ₽14 032/M | ₽116 935 |
| Grok Imagine Image | grok imagine image | — | — | — |
| 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 177 моделей AI API. Средняя цена — ₽283/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽1.56/M (text embedding 3 small).
Сравните цены на text embedding 3 small , Text Embedding 005 , Text Embedding V1 , Text multilingual embedding 002 и Llama 3.2 3B у других провайдеров или в каталоге агрегаторов . Данные обновлены 16.07.2026.