225 моделей, 25+ провайдеров — open-source gateway + managed cloud
- Моделей
- 243
- Средняя цена
- ₽260/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 = 83.76 ₽ · 1 CNY = 12.4991 ₽ · 16.10.2026
243 моделей
Текст и чат
оплата за токены · 242
▼
Текст и чат
оплата за токены · 242
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Bge M3 | baai | ₽0.84/M | ₽0.84/M | ₽17 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.84/M | ₽0.84/M | ₽17 |
| Qwen3 Reranker 0.6b | qwen3 reranker 0.6b | ₽0.84/M | ₽0.84/M | ₽17 |
| qwen3-embedding-0.6b | Qwen | ₽0.84/M | ₽0.84/M | ₽17 |
| text embedding 3 small | OpenAI | ₽1.68/M | ₽1.68/M | ₽34 |
| Qwen3 Reranker 4B | qwen3 reranker 4b | ₽2.09/M | ₽2.09/M | ₽42 |
| Text Embedding 005 | text embedding 005 | ₽2.09/M | ₽2.09/M | ₽42 |
| Text Embedding V1 | text embedding 004 | ₽2.09/M | ₽2.09/M | ₽42 |
| Text multilingual embedding 002 | ₽2.09/M | ₽2.09/M | ₽42 | |
| Jev 1.13 | jev 1.13.0 | ₽3.52/M | ₽3.52/M | ₽70 |
| Microsoft-Decision-1 | Microsoft | ₽3.52/M | ₽3.52/M | ₽70 |
| Llama 3.2 3B | Meta | ₽2.51/M | ₽4.19/M | ₽71 |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽4.19/M | ₽4.19/M | ₽84 |
| qwen3.7 flash | Qwen | ₽2.51/M | ₽10.89/M | ₽105 |
| gpt oss 120b | OpenAI | ₽2.68/M | ₽11.73/M | ₽112 |
| Kinfra Text Embedding 0.6B | kinfra text embedding 0.6b | ₽5.86/M | ₽5.86/M | ₽117 |
| Kinfra Text Embedding 4B | kinfra text embedding 4b | ₽7.04/M | ₽7.04/M | ₽141 |
| gpt oss 20b | OpenAI | ₽3.35/M | ₽15.91/M | ₽147 |
| GPT-6 Luna Decisions | OpenAI | ₽8.38/M | ₽8.38/M | ₽168 |
| Text Embedding ADA | text embedding ada | ₽8.38/M | ₽8.38/M | ₽168 |
| Ling 3.0 Flash | ling 3.0 flash | ₽5.03/M | ₽15.08/M | ₽176 |
| ling 3.0 flash vl | ling 3.0 flash vl | ₽5.03/M | ₽15.08/M | ₽176 |
| deepseek v4 flash | DeepSeek | ₽6.37/M | ₽12.82/M | ₽191 |
| granite 4.2 8b | granite 4.2 8b | ₽5.03/M | ₽20.94/M | ₽205 |
| GLM-4 32B (0414-128k) | glm 4 32b 0414 128k | ₽8.38/M | ₽8.38/M | ₽209 |
| ministral 3b 2512 | ministral 3b 2512 | ₽8.38/M | ₽8.38/M | ₽209 |
| Reka Edge 2603 | reka edge 2603 | ₽8.38/M | ₽8.38/M | ₽209 |
| text embedding 3 large | OpenAI | ₽10.89/M | ₽10.89/M | ₽218 |
| qwen3.5 9b | Qwen | ₽8.38/M | ₽12.56/M | ₽230 |
| Qwen 3 Coder 30B A3B Instruct | Qwen | ₽5.86/M | ₽22.62/M | ₽230 |
| GLM-4.6V FlashX | glm 4.6v flashx | ₽3.35/M | ₽33.50/M | ₽235 |
| seed 1 6 flash 250715 | seed 1 6 flash 250715 | ₽5.86/M | ₽25.13/M | ₽243 |
| Hy-MT2 Plus | hy mt2 plus | ₽6.20/M | ₽24.71/M | ₽248 |
| gpt 5 nano | OpenAI | ₽4.19/M | ₽33.50/M | ₽251 |
| Muse Spark 1.2 Contributor | Meta | ₽8.38/M | ₽16.75/M | ₽251 |
| Muse Spark 1.3 Contributor | Meta | ₽8.38/M | ₽16.75/M | ₽251 |
| Qwen-Flash | Qwen | ₽4.19/M | ₽33.50/M | ₽251 |
| gemini embedding exp | ₽12.56/M | ₽12.56/M | ₽251 | |
| glm 5.3 flash | Z.ai | ₽7.37/M | ₽20.94/M | ₽252 |
| Llama 3.2 11B Instruct | Meta | ₽5.86/M | ₽27.64/M | ₽255 |
| gemma 4 26b a4b it | ₽5.86/M | ₽28.48/M | ₽260 | |
| glm 4.7 flash | Z.ai | ₽5.03/M | ₽33.50/M | ₽268 |
| minimax m2.7 | MiniMax | ₽6.70/M | ₽26.80/M | ₽268 |
| gemma 4 31b it | ₽8.38/M | ₽20.94/M | ₽272 | |
| qwen3.8 27b | Qwen | ₽6.70/M | ₽29.32/M | ₽281 |
| GLM-4.7 FlashX | glm 4.7 flashx | ₽5.86/M | ₽33.50/M | ₽285 |
| Mistral Small 3.2 | Mistral | ₽8.38/M | ₽25.13/M | ₽293 |
| MiMo-V2.6-Flash | Xiaomi | ₽10.05/M | ₽20.94/M | ₽306 |
| ministral 8b 2512 | ministral 8b 2512 | ₽12.56/M | ₽12.56/M | ₽314 |
| gemini 2.5 flash lite | ₽8.38/M | ₽33.50/M | ₽335 | |
| gemini-embedding-2 (embedding) | ₽16.75/M | ₽16.75/M | ₽335 | |
| gpt 4.1 nano | OpenAI | ₽8.38/M | ₽33.50/M | ₽335 |
| seed 2 0 mini 260428 | seed 2 0 mini 260428 | ₽8.38/M | ₽33.50/M | ₽335 |
| claude haiku 5 5 | Anthropic | ₽8.38/M | ₽41.88/M | ₽377 |
| gpt 6 luna | OpenAI | ₽8.38/M | ₽41.88/M | ₽377 |
| Llama 3.3 70B | Meta | ₽11.31/M | ₽33.50/M | ₽394 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽7.54/M | ₽48.58/M | ₽394 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽10.05/M | ₽40.20/M | ₽402 |
| ministral 14b 2512 | ministral 14b 2512 | ₽16.75/M | ₽16.75/M | ₽419 |
| MiMo-V2.5 | Xiaomi | ₽14.07/M | ₽28.14/M | ₽422 |
| Hy3 | Tencent | ₽11.06/M | ₽44.23/M | ₽442 |
| qwen3.8 flash | Qwen | ₽12.56/M | ₽39.37/M | ₽448 |
| deepseek v4.1 flash | DeepSeek | ₽11.31/M | ₽45.23/M | ₽452 |
| qwen3 coder next | Qwen | ₽9.05/M | ₽56.54/M | ₽464 |
| gpt 4o mini | OpenAI | ₽12.56/M | ₽50.26/M | ₽503 |
| mistral small 2603 | Mistral | ₽12.56/M | ₽50.26/M | ₽503 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽12.56/M | ₽50.26/M | ₽503 |
| Grok 4.1 Fast | xAI | ₽16.75/M | ₽41.88/M | ₽544 |
| Grok 4.1 Fast (reasoning) | xAI | ₽16.75/M | ₽41.88/M | ₽544 |
| Llama 4 Scout 17B Instruct | Meta | ₽15.08/M | ₽49.42/M | ₽549 |
| GLM 4.5 Air | Z.ai | ₽10.89/M | ₽71.20/M | ₽574 |
| deepseek v3.2 | DeepSeek | ₽21.78/M | ₽31.83/M | ₽595 |
| Qwen3 235B A22B FP8 | qwen3 235b a22b fp8 | ₽16.75/M | ₽67.01/M | ₽670 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽16.75/M | ₽73.71/M | ₽704 |
| MiniMax M2 | MiniMax | ₽16.75/M | ₽83.76/M | ₽754 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.56/M | ₽101/M | ₽754 |
| MiniMax Text 01 | MiniMax Text 01 | ₽16.75/M | ₽92.14/M | ₽796 |
| Llama 4 Maverick 17B Instruct | Meta | ₽22.62/M | ₽71.20/M | ₽808 |
| Step 3.7 Flash | StepFun | ₽16.75/M | ₽96.32/M | ₽817 |
| gpt 5.6 luna | OpenAI | ₽16.75/M | ₽101/M | ₽838 |
| gpt 5.4 nano | OpenAI | ₽16.75/M | ₽105/M | ₽859 |
| codestral 2508 | Mistral | ₽25.13/M | ₽75.38/M | ₽879 |
| glm 4.6v | Z.ai | ₽25.13/M | ₽75.38/M | ₽879 |
| MiniMax M2.1 | MiniMax | ₽22.62/M | ₽92.14/M | ₽913 |
| minimax m3 | MiniMax | ₽23.45/M | ₽92.14/M | ₽930 |
| Qwen3 32B | Qwen | ₽30.15/M | ₽72.87/M | ₽967 |
| Qwen3-VL-Plus | alibaba | ₽16.75/M | ₽134/M | ₽1 005 |
| MiniMax M2.5 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| Muse Glimmer 30B | Meta | ₽25.13/M | ₽101/M | ₽1 005 |
| qwen3.6 35b a3b | Qwen | ₽20.77/M | ₽124/M | ₽1 037 |
| gemini 3.1 flash lite | ₽20.94/M | ₽126/M | ₽1 047 | |
| gemini 3.1 flash lite image | ₽20.94/M | ₽126/M | ₽1 047 | |
| qwen3.6 flash | Qwen | ₽20.94/M | ₽126/M | ₽1 047 |
| deepseek v4 pro | DeepSeek | ₽36.44/M | ₽72.87/M | ₽1 093 |
| MiMo-V2.5-Pro | Xiaomi | ₽36.44/M | ₽72.87/M | ₽1 093 |
| MiMo-V2.6-Pro | Xiaomi | ₽36.44/M | ₽72.87/M | ₽1 093 |
| Qwen3 Coder Flash | Qwen | ₽25.13/M | ₽126/M | ₽1 131 |
| llama 3 70b | Meta | ₽42.72/M | ₽61.98/M | ₽1 164 |
| Qwen-Plus | Qwen | ₽33.50/M | ₽101/M | ₽1 173 |
| ERNIE 4.5 VL 424B A47B | ernie 4.5 vl 424b a47b | ₽35.18/M | ₽105/M | ₽1 227 |
| gpt 5 mini | OpenAI | ₽20.94/M | ₽168/M | ₽1 256 |
| GPT-5.1-Codex-Mini | OpenAI | ₽20.94/M | ₽168/M | ₽1 256 |
| Qwen3.5-35B-A3B | Qwen | ₽20.94/M | ₽168/M | ₽1 256 |
| seed 1 6 250615 | seed 1 6 250615 | ₽20.94/M | ₽168/M | ₽1 256 |
| seed 1 8 251228 | seed 1 8 251228 | ₽20.94/M | ₽168/M | ₽1 256 |
| Seed 1.6 (250915) | seed 1 6 250915 | ₽20.94/M | ₽168/M | ₽1 256 |
| seed 2 0 lite 260428 | seed 2 0 lite 260428 | ₽20.94/M | ₽168/M | ₽1 256 |
| qwen3 coder 480b a35b 07 25 | Qwen | ₽31.83/M | ₽130/M | ₽1 286 |
| gpt 4.1 mini | OpenAI | ₽33.50/M | ₽134/M | ₽1 340 |
| qwen3.7 plus | Qwen | ₽33.50/M | ₽134/M | ₽1 340 |
| glm 4.7 | Z.ai | ₽31.83/M | ₽166/M | ₽1 466 |
| gpt 3.5 turbo | OpenAI | ₽41.88/M | ₽126/M | ₽1 466 |
| mistral large 2512 | Mistral | ₽41.88/M | ₽126/M | ₽1 466 |
| Sonar | perplexity | ₽20.94/M | ₽209/M | ₽1 466 |
| devstral 2512 | devstral 2512 | ₽33.50/M | ₽168/M | ₽1 508 |
| llama 3.1 70b | Meta | ₽60.31/M | ₽60.31/M | ₽1 508 |
| Kimi K2.5 | MoonshotAI | ₽33.92/M | ₽166/M | ₽1 508 |
| Qwen3.5-27B | Qwen | ₽25.13/M | ₽201/M | ₽1 508 |
| gemini 2.5 flash | ₽25.13/M | ₽209/M | ₽1 550 | |
| gemini 3.5 flash lite | ₽25.13/M | ₽209/M | ₽1 550 | |
| Gemini 2.5 Flash Native Audio Latest | ₽41.88/M | ₽168/M | ₽1 675 | |
| glm 5.3 | Z.ai | ₽41.88/M -46% ввод | ₽168/M | ₽1 675 |
| qwen3 235b a22b | Qwen | ₽25.13/M | ₽251/M | ₽1 759 |
| GLM 4.5V | Z.ai | ₽50.26/M | ₽151/M | ₽1 759 |
| Nemotron 3 Ultra 550B | nemotron 3 ultra 550b | ₽41.88/M | ₽184/M | ₽1 759 |
| GLM 4.6 | Z.ai | ₽46.07/M | ₽184/M | ₽1 843 |
| glm 5.2 | Z.ai | ₽50.67/M | ₽178/M | ₽1 903 |
| Kimi K2 0711 | MoonshotAI | ₽47.74/M | ₽193/M | ₽1 918 |
| GLM 4.5 | Z.ai | ₽50.26/M | ₽184/M | ₽1 926 |
| Qwen3.5-122B-A10B | Qwen | ₽33.50/M | ₽268/M | ₽2 010 |
| gpt realtime 2.1 mini | OpenAI | ₽50.26/M | ₽201/M | ₽2 010 |
| GPT Realtime Mini | OpenAI | ₽50.26/M | ₽201/M | ₽2 010 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽50.26/M | ₽201/M | ₽2 010 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽50.26/M | ₽201/M | ₽2 010 |
| gemini 3 flash | ₽41.88/M | ₽251/M | ₽2 094 | |
| Qwen3.6 Plus | Qwen | ₽41.88/M | ₽251/M | ₽2 094 |
| seed 2 0 code preview 260328 | seed 2 0 code preview 260328 | ₽41.88/M | ₽251/M | ₽2 094 |
| seed 2 0 pro 260328 | seed 2 0 pro 260328 | ₽41.88/M | ₽251/M | ₽2 094 |
| glm 5 | Z.ai | ₽60.31/M | ₽193/M | ₽2 169 |
| kimi k2.6 | MoonshotAI | ₽50.26/M | ₽255/M | ₽2 282 |
| Hy4 preview | Tencent | ₽69.86/M | ₽209/M | ₽2 445 |
| qwen3.5 397b a17b | Qwen | ₽50.26/M | ₽302/M | ₽2 513 |
| Grok Build 0.1 | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| kimi k2.7 code | MoonshotAI | ₽61.73/M | ₽258/M | ₽2 525 |
| glm 5.1 | Z.ai | ₽77.98/M | ₽245/M | ₽2 787 |
| gemini 3.6 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| gemini 3.7 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| gemini 3.8 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| Qwen3 Max | Qwen | ₽70.78/M | ₽283/M | ₽2 831 |
| gemini 3.1 flash live preview | ₽62.82/M | ₽377/M | ₽3 141 | |
| gpt 5.4 mini | OpenAI | ₽62.82/M | ₽377/M | ₽3 141 |
| Grok 4 20 (reasoning) | xAI | ₽105/M | ₽209/M | ₽3 141 |
| Grok 4.20 Non-Reasoning | xAI | ₽105/M | ₽209/M | ₽3 141 |
| grok 4.3 | xAI | ₽105/M | ₽209/M | ₽3 141 |
| Inkling | inkling | ₽79.57/M | ₽339/M | ₽3 288 |
| qwen3.7 max | Qwen | ₽105/M | ₽314/M | ₽3 665 |
| glm 5 turbo | Z.ai | ₽101/M | ₽335/M | ₽3 685 |
| GLM 5V Turbo | Z.ai | ₽101/M | ₽335/M | ₽3 685 |
| o3 mini | OpenAI | ₽92.14/M | ₽369/M | ₽3 685 |
| o4 mini | OpenAI | ₽92.14/M | ₽369/M | ₽3 685 |
| GLM 4.5 Airx | glm 4.5 airx | ₽92.14/M | ₽377/M | ₽3 727 |
| claude haiku 4.5 | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| Muse Spark 1.1 | Meta | ₽105/M | ₽356/M | ₽3 874 |
| Muse Spark 1.2 | Meta | ₽105/M | ₽356/M | ₽3 874 |
| Muse Spark 1.3 | Meta | ₽105/M | ₽356/M | ₽3 874 |
| Mistral Large 4 | Mistral | ₽114/M | ₽350/M | ₽4 029 |
| gpt 4o mini transcribe | OpenAI | ₽105/M | ₽419/M | ₽4 188 |
| qwen3.8 max | Qwen | ₽129/M | ₽388/M | ₽4 519 |
| Gemini 2.5 Flash Preview Tts | ₽41.88/M | ₽838/M | ₽5 026 | |
| Qwen-Max | Qwen | ₽134/M | ₽536/M | ₽5 361 |
| Mistral Medium 3.5 | Mistral | ₽126/M | ₽628/M | ₽5 654 |
| Nano Banana 2.1 | ₽126/M | ₽628/M | ₽5 654 | |
| fugu max | fugu max | ₽168/M | ₽503/M | ₽5 863 |
| Grok 4.20 Beta 0309 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| Grok 4.20 Beta 0309 (reasoning) | xAI | ₽168/M | ₽503/M | ₽5 863 |
| grok 4.5 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| grok 4.6 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| grok 4.7 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| Qwen3.8 2.4T A95B | Qwen | ₽168/M | ₽503/M | ₽5 863 |
| gpt 4o mini tts | OpenAI | ₽50.26/M | ₽1 005/M | ₽6 031 |
| gemini 2.5 pro | ₽105/M | ₽838/M | ₽6 282 | |
| gemini 3.5 flash | ₽126/M | ₽754/M | ₽6 282 | |
| gpt 5 | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| gpt 5.1 | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| GPT-5.1-Codex | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽159/M | ₽670/M | ₽6 533 |
| gpt 4.1 | OpenAI | ₽168/M | ₽670/M | ₽6 701 |
| O3 | OpenAI | ₽168/M | ₽670/M | ₽6 701 |
| GLM 4.5 X | glm 4.5 x | ₽184/M | ₽745/M | ₽7 413 |
| claude sonnet 5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| Claude Sonnet 5.5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| gpt 6 sol | OpenAI | ₽168/M | ₽838/M | ₽7 538 |
| gpt 6.1 sol | OpenAI | ₽168/M | ₽838/M | ₽7 538 |
| Gemini 3.1 Pro | ₽168/M | ₽1 005/M | ₽8 376 | |
| Gemini Pro | ₽168/M | ₽1 005/M | ₽8 376 | |
| gpt 4o | OpenAI | ₽209/M | ₽838/M | ₽8 376 |
| gpt 4o transcribe | OpenAI | ₽209/M | ₽838/M | ₽8 376 |
| gpt 5.6 terra | OpenAI | ₽168/M | ₽1 005/M | ₽8 376 |
| gpt image 2 | OpenAI | ₽419/M | ₽419/M | ₽8 376 |
| gpt image 2.5 flare | OpenAI | ₽419/M | ₽419/M | ₽8 376 |
| gpt image 2.5 sunburst | OpenAI | ₽419/M | ₽419/M | ₽8 376 |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽168/M | ₽1 005/M | ₽8 376 | |
| gpt 5.2 | OpenAI | ₽147/M | ₽1 173/M | ₽8 795 |
| gpt 5.3 codex | OpenAI | ₽147/M | ₽1 173/M | ₽8 795 |
| GPT-5.2-Codex | OpenAI | ₽147/M | ₽1 173/M | ₽8 795 |
| Gemini 2.5 Pro Preview Tts | ₽83.76/M | ₽1 675/M | ₽10 051 | |
| Gemini 3.1 Flash TTS | ₽83.76/M | ₽1 675/M | ₽10 051 | |
| gpt 5.4 | OpenAI | ₽209/M | ₽1 256/M | ₽10 470 |
| claude sonnet 4.5 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| claude sonnet 4.6 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| Grok 4 | xAI | ₽251/M | ₽1 256/M | ₽11 308 |
| kimi k3 | MoonshotAI | ₽251/M | ₽1 256/M | ₽11 308 |
| Mistral Large Latest | Mistral | ₽335/M | ₽1 005/M | ₽11 726 |
| gemini 2.5 flash image | ₽25.13/M | ₽2 513/M | ₽13 067 | |
| gpt realtime | OpenAI | ₽335/M | ₽1 340/M | ₽13 402 |
| claude opus 5.5 | Anthropic | ₽335/M | ₽1 675/M | ₽15 077 |
| Gemini 4 Argon | ₽335/M | ₽1 675/M | ₽15 077 | |
| gpt 5.6 sol | OpenAI | ₽335/M | ₽1 675/M | ₽15 077 |
| Muse Wonder 1.0 | muse wonder 1.0 | ₽335/M | ₽1 675/M | ₽15 077 |
| GPT Realtime 2.1 | OpenAI | ₽335/M | ₽2 010/M | ₽16 752 |
| claude opus 4.5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.6 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.7 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.8 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| fugu ultra | fugu ultra | ₽419/M | ₽2 513/M | ₽20 940 |
| Fugu Ultra v2.0 | fugu ultra v2.0 | ₽419/M | ₽2 513/M | ₽20 940 |
| gpt 5.5 | OpenAI | ₽419/M | ₽2 513/M | ₽20 940 |
| gpt 4 turbo | OpenAI | ₽838/M | ₽2 513/M | ₽29 316 |
| claude fable 5 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
| claude fable 5.1 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
| gpt 6 astra | OpenAI | ₽838/M | ₽4 188/M | ₽37 692 |
| o1 | OpenAI | ₽1 256/M | ₽5 026/M | ₽50 256 |
| Claude Opus 4 | Anthropic | ₽1 256/M | ₽6 282/M | ₽56 538 |
| gpt 4 | OpenAI | ₽2 513/M | ₽5 026/M | ₽75 384 |
| GPT-5 Pro | OpenAI | ₽1 256/M | ₽10 051/M | ₽75 384 |
| GPT-5.2 Pro | OpenAI | ₽1 759/M | ₽14 072/M | ₽105 538 |
| gpt 5.4 pro | OpenAI | ₽2 513/M | ₽15 077/M | ₽125 640 |
| gpt 5.5 pro | OpenAI | ₽2 513/M | ₽15 077/M | ₽125 640 |
| Grok Imagine | xAI | — | — | — |
| grok imagine video 1.5 | xAI | — | — | — |
| grok imagine video 1.5 lite | xAI | — | — | — |
Текст и чат
оплата за токены · 242
▼
Текст и чат
оплата за токены · 242
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Bge M3 | baai | ₽0.84/M | ₽0.84/M | ₽17 |
| Qwen3 Embedding 8B | qwen3 embedding 8b | ₽0.84/M | ₽0.84/M | ₽17 |
| Qwen3 Reranker 0.6b | qwen3 reranker 0.6b | ₽0.84/M | ₽0.84/M | ₽17 |
| qwen3-embedding-0.6b | Qwen | ₽0.84/M | ₽0.84/M | ₽17 |
| text embedding 3 small | OpenAI | ₽1.68/M | ₽1.68/M | ₽34 |
| Qwen3 Reranker 4B | qwen3 reranker 4b | ₽2.09/M | ₽2.09/M | ₽42 |
| Text Embedding 005 | text embedding 005 | ₽2.09/M | ₽2.09/M | ₽42 |
| Text Embedding V1 | text embedding 004 | ₽2.09/M | ₽2.09/M | ₽42 |
| Text multilingual embedding 002 | ₽2.09/M | ₽2.09/M | ₽42 | |
| Jev 1.13 | jev 1.13.0 | ₽3.52/M | ₽3.52/M | ₽70 |
| Microsoft-Decision-1 | Microsoft | ₽3.52/M | ₽3.52/M | ₽70 |
| Llama 3.2 3B | Meta | ₽2.51/M | ₽4.19/M | ₽71 |
| Qwen3 Reranker 8B | qwen3 reranker 8b | ₽4.19/M | ₽4.19/M | ₽84 |
| qwen3.7 flash | Qwen | ₽2.51/M | ₽10.89/M | ₽105 |
| gpt oss 120b | OpenAI | ₽2.68/M | ₽11.73/M | ₽112 |
| Kinfra Text Embedding 0.6B | kinfra text embedding 0.6b | ₽5.86/M | ₽5.86/M | ₽117 |
| Kinfra Text Embedding 4B | kinfra text embedding 4b | ₽7.04/M | ₽7.04/M | ₽141 |
| gpt oss 20b | OpenAI | ₽3.35/M | ₽15.91/M | ₽147 |
| GPT-6 Luna Decisions | OpenAI | ₽8.38/M | ₽8.38/M | ₽168 |
| Text Embedding ADA | text embedding ada | ₽8.38/M | ₽8.38/M | ₽168 |
| Ling 3.0 Flash | ling 3.0 flash | ₽5.03/M | ₽15.08/M | ₽176 |
| ling 3.0 flash vl | ling 3.0 flash vl | ₽5.03/M | ₽15.08/M | ₽176 |
| deepseek v4 flash | DeepSeek | ₽6.37/M | ₽12.82/M | ₽191 |
| granite 4.2 8b | granite 4.2 8b | ₽5.03/M | ₽20.94/M | ₽205 |
| GLM-4 32B (0414-128k) | glm 4 32b 0414 128k | ₽8.38/M | ₽8.38/M | ₽209 |
| ministral 3b 2512 | ministral 3b 2512 | ₽8.38/M | ₽8.38/M | ₽209 |
| Reka Edge 2603 | reka edge 2603 | ₽8.38/M | ₽8.38/M | ₽209 |
| text embedding 3 large | OpenAI | ₽10.89/M | ₽10.89/M | ₽218 |
| qwen3.5 9b | Qwen | ₽8.38/M | ₽12.56/M | ₽230 |
| Qwen 3 Coder 30B A3B Instruct | Qwen | ₽5.86/M | ₽22.62/M | ₽230 |
| GLM-4.6V FlashX | glm 4.6v flashx | ₽3.35/M | ₽33.50/M | ₽235 |
| seed 1 6 flash 250715 | seed 1 6 flash 250715 | ₽5.86/M | ₽25.13/M | ₽243 |
| Hy-MT2 Plus | hy mt2 plus | ₽6.20/M | ₽24.71/M | ₽248 |
| gpt 5 nano | OpenAI | ₽4.19/M | ₽33.50/M | ₽251 |
| Muse Spark 1.2 Contributor | Meta | ₽8.38/M | ₽16.75/M | ₽251 |
| Muse Spark 1.3 Contributor | Meta | ₽8.38/M | ₽16.75/M | ₽251 |
| Qwen-Flash | Qwen | ₽4.19/M | ₽33.50/M | ₽251 |
| gemini embedding exp | ₽12.56/M | ₽12.56/M | ₽251 | |
| glm 5.3 flash | Z.ai | ₽7.37/M | ₽20.94/M | ₽252 |
| Llama 3.2 11B Instruct | Meta | ₽5.86/M | ₽27.64/M | ₽255 |
| gemma 4 26b a4b it | ₽5.86/M | ₽28.48/M | ₽260 | |
| glm 4.7 flash | Z.ai | ₽5.03/M | ₽33.50/M | ₽268 |
| minimax m2.7 | MiniMax | ₽6.70/M | ₽26.80/M | ₽268 |
| gemma 4 31b it | ₽8.38/M | ₽20.94/M | ₽272 | |
| qwen3.8 27b | Qwen | ₽6.70/M | ₽29.32/M | ₽281 |
| GLM-4.7 FlashX | glm 4.7 flashx | ₽5.86/M | ₽33.50/M | ₽285 |
| Mistral Small 3.2 | Mistral | ₽8.38/M | ₽25.13/M | ₽293 |
| MiMo-V2.6-Flash | Xiaomi | ₽10.05/M | ₽20.94/M | ₽306 |
| ministral 8b 2512 | ministral 8b 2512 | ₽12.56/M | ₽12.56/M | ₽314 |
| gemini 2.5 flash lite | ₽8.38/M | ₽33.50/M | ₽335 | |
| gemini-embedding-2 (embedding) | ₽16.75/M | ₽16.75/M | ₽335 | |
| gpt 4.1 nano | OpenAI | ₽8.38/M | ₽33.50/M | ₽335 |
| seed 2 0 mini 260428 | seed 2 0 mini 260428 | ₽8.38/M | ₽33.50/M | ₽335 |
| claude haiku 5 5 | Anthropic | ₽8.38/M | ₽41.88/M | ₽377 |
| gpt 6 luna | OpenAI | ₽8.38/M | ₽41.88/M | ₽377 |
| Llama 3.3 70B | Meta | ₽11.31/M | ₽33.50/M | ₽394 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽7.54/M | ₽48.58/M | ₽394 |
| MiniMax M2.1 Lightning | minimax m2.1 lightning | ₽10.05/M | ₽40.20/M | ₽402 |
| ministral 14b 2512 | ministral 14b 2512 | ₽16.75/M | ₽16.75/M | ₽419 |
| MiMo-V2.5 | Xiaomi | ₽14.07/M | ₽28.14/M | ₽422 |
| Hy3 | Tencent | ₽11.06/M | ₽44.23/M | ₽442 |
| qwen3.8 flash | Qwen | ₽12.56/M | ₽39.37/M | ₽448 |
| deepseek v4.1 flash | DeepSeek | ₽11.31/M | ₽45.23/M | ₽452 |
| qwen3 coder next | Qwen | ₽9.05/M | ₽56.54/M | ₽464 |
| gpt 4o mini | OpenAI | ₽12.56/M | ₽50.26/M | ₽503 |
| mistral small 2603 | Mistral | ₽12.56/M | ₽50.26/M | ₽503 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽12.56/M | ₽50.26/M | ₽503 |
| Grok 4.1 Fast | xAI | ₽16.75/M | ₽41.88/M | ₽544 |
| Grok 4.1 Fast (reasoning) | xAI | ₽16.75/M | ₽41.88/M | ₽544 |
| Llama 4 Scout 17B Instruct | Meta | ₽15.08/M | ₽49.42/M | ₽549 |
| GLM 4.5 Air | Z.ai | ₽10.89/M | ₽71.20/M | ₽574 |
| deepseek v3.2 | DeepSeek | ₽21.78/M | ₽31.83/M | ₽595 |
| Qwen3 235B A22B FP8 | qwen3 235b a22b fp8 | ₽16.75/M | ₽67.01/M | ₽670 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽16.75/M | ₽73.71/M | ₽704 |
| MiniMax M2 | MiniMax | ₽16.75/M | ₽83.76/M | ₽754 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽12.56/M | ₽101/M | ₽754 |
| MiniMax Text 01 | MiniMax Text 01 | ₽16.75/M | ₽92.14/M | ₽796 |
| Llama 4 Maverick 17B Instruct | Meta | ₽22.62/M | ₽71.20/M | ₽808 |
| Step 3.7 Flash | StepFun | ₽16.75/M | ₽96.32/M | ₽817 |
| gpt 5.6 luna | OpenAI | ₽16.75/M | ₽101/M | ₽838 |
| gpt 5.4 nano | OpenAI | ₽16.75/M | ₽105/M | ₽859 |
| codestral 2508 | Mistral | ₽25.13/M | ₽75.38/M | ₽879 |
| glm 4.6v | Z.ai | ₽25.13/M | ₽75.38/M | ₽879 |
| MiniMax M2.1 | MiniMax | ₽22.62/M | ₽92.14/M | ₽913 |
| minimax m3 | MiniMax | ₽23.45/M | ₽92.14/M | ₽930 |
| Qwen3 32B | Qwen | ₽30.15/M | ₽72.87/M | ₽967 |
| Qwen3-VL-Plus | alibaba | ₽16.75/M | ₽134/M | ₽1 005 |
| MiniMax M2.5 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| Muse Glimmer 30B | Meta | ₽25.13/M | ₽101/M | ₽1 005 |
| qwen3.6 35b a3b | Qwen | ₽20.77/M | ₽124/M | ₽1 037 |
| gemini 3.1 flash lite | ₽20.94/M | ₽126/M | ₽1 047 | |
| gemini 3.1 flash lite image | ₽20.94/M | ₽126/M | ₽1 047 | |
| qwen3.6 flash | Qwen | ₽20.94/M | ₽126/M | ₽1 047 |
| deepseek v4 pro | DeepSeek | ₽36.44/M | ₽72.87/M | ₽1 093 |
| MiMo-V2.5-Pro | Xiaomi | ₽36.44/M | ₽72.87/M | ₽1 093 |
| MiMo-V2.6-Pro | Xiaomi | ₽36.44/M | ₽72.87/M | ₽1 093 |
| Qwen3 Coder Flash | Qwen | ₽25.13/M | ₽126/M | ₽1 131 |
| llama 3 70b | Meta | ₽42.72/M | ₽61.98/M | ₽1 164 |
| Qwen-Plus | Qwen | ₽33.50/M | ₽101/M | ₽1 173 |
| ERNIE 4.5 VL 424B A47B | ernie 4.5 vl 424b a47b | ₽35.18/M | ₽105/M | ₽1 227 |
| gpt 5 mini | OpenAI | ₽20.94/M | ₽168/M | ₽1 256 |
| GPT-5.1-Codex-Mini | OpenAI | ₽20.94/M | ₽168/M | ₽1 256 |
| Qwen3.5-35B-A3B | Qwen | ₽20.94/M | ₽168/M | ₽1 256 |
| seed 1 6 250615 | seed 1 6 250615 | ₽20.94/M | ₽168/M | ₽1 256 |
| seed 1 8 251228 | seed 1 8 251228 | ₽20.94/M | ₽168/M | ₽1 256 |
| Seed 1.6 (250915) | seed 1 6 250915 | ₽20.94/M | ₽168/M | ₽1 256 |
| seed 2 0 lite 260428 | seed 2 0 lite 260428 | ₽20.94/M | ₽168/M | ₽1 256 |
| qwen3 coder 480b a35b 07 25 | Qwen | ₽31.83/M | ₽130/M | ₽1 286 |
| gpt 4.1 mini | OpenAI | ₽33.50/M | ₽134/M | ₽1 340 |
| qwen3.7 plus | Qwen | ₽33.50/M | ₽134/M | ₽1 340 |
| glm 4.7 | Z.ai | ₽31.83/M | ₽166/M | ₽1 466 |
| gpt 3.5 turbo | OpenAI | ₽41.88/M | ₽126/M | ₽1 466 |
| mistral large 2512 | Mistral | ₽41.88/M | ₽126/M | ₽1 466 |
| Sonar | perplexity | ₽20.94/M | ₽209/M | ₽1 466 |
| devstral 2512 | devstral 2512 | ₽33.50/M | ₽168/M | ₽1 508 |
| llama 3.1 70b | Meta | ₽60.31/M | ₽60.31/M | ₽1 508 |
| Kimi K2.5 | MoonshotAI | ₽33.92/M | ₽166/M | ₽1 508 |
| Qwen3.5-27B | Qwen | ₽25.13/M | ₽201/M | ₽1 508 |
| gemini 2.5 flash | ₽25.13/M | ₽209/M | ₽1 550 | |
| gemini 3.5 flash lite | ₽25.13/M | ₽209/M | ₽1 550 | |
| Gemini 2.5 Flash Native Audio Latest | ₽41.88/M | ₽168/M | ₽1 675 | |
| glm 5.3 | Z.ai | ₽41.88/M -46% ввод | ₽168/M | ₽1 675 |
| qwen3 235b a22b | Qwen | ₽25.13/M | ₽251/M | ₽1 759 |
| GLM 4.5V | Z.ai | ₽50.26/M | ₽151/M | ₽1 759 |
| Nemotron 3 Ultra 550B | nemotron 3 ultra 550b | ₽41.88/M | ₽184/M | ₽1 759 |
| GLM 4.6 | Z.ai | ₽46.07/M | ₽184/M | ₽1 843 |
| glm 5.2 | Z.ai | ₽50.67/M | ₽178/M | ₽1 903 |
| Kimi K2 0711 | MoonshotAI | ₽47.74/M | ₽193/M | ₽1 918 |
| GLM 4.5 | Z.ai | ₽50.26/M | ₽184/M | ₽1 926 |
| Qwen3.5-122B-A10B | Qwen | ₽33.50/M | ₽268/M | ₽2 010 |
| gpt realtime 2.1 mini | OpenAI | ₽50.26/M | ₽201/M | ₽2 010 |
| GPT Realtime Mini | OpenAI | ₽50.26/M | ₽201/M | ₽2 010 |
| MiniMax M2.5 Highspeed | minimax m2.5 highspeed | ₽50.26/M | ₽201/M | ₽2 010 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽50.26/M | ₽201/M | ₽2 010 |
| gemini 3 flash | ₽41.88/M | ₽251/M | ₽2 094 | |
| Qwen3.6 Plus | Qwen | ₽41.88/M | ₽251/M | ₽2 094 |
| seed 2 0 code preview 260328 | seed 2 0 code preview 260328 | ₽41.88/M | ₽251/M | ₽2 094 |
| seed 2 0 pro 260328 | seed 2 0 pro 260328 | ₽41.88/M | ₽251/M | ₽2 094 |
| glm 5 | Z.ai | ₽60.31/M | ₽193/M | ₽2 169 |
| kimi k2.6 | MoonshotAI | ₽50.26/M | ₽255/M | ₽2 282 |
| Hy4 preview | Tencent | ₽69.86/M | ₽209/M | ₽2 445 |
| qwen3.5 397b a17b | Qwen | ₽50.26/M | ₽302/M | ₽2 513 |
| Grok Build 0.1 | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| kimi k2.7 code | MoonshotAI | ₽61.73/M | ₽258/M | ₽2 525 |
| glm 5.1 | Z.ai | ₽77.98/M | ₽245/M | ₽2 787 |
| gemini 3.6 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| gemini 3.7 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| gemini 3.8 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| Qwen3 Max | Qwen | ₽70.78/M | ₽283/M | ₽2 831 |
| gemini 3.1 flash live preview | ₽62.82/M | ₽377/M | ₽3 141 | |
| gpt 5.4 mini | OpenAI | ₽62.82/M | ₽377/M | ₽3 141 |
| Grok 4 20 (reasoning) | xAI | ₽105/M | ₽209/M | ₽3 141 |
| Grok 4.20 Non-Reasoning | xAI | ₽105/M | ₽209/M | ₽3 141 |
| grok 4.3 | xAI | ₽105/M | ₽209/M | ₽3 141 |
| Inkling | inkling | ₽79.57/M | ₽339/M | ₽3 288 |
| qwen3.7 max | Qwen | ₽105/M | ₽314/M | ₽3 665 |
| glm 5 turbo | Z.ai | ₽101/M | ₽335/M | ₽3 685 |
| GLM 5V Turbo | Z.ai | ₽101/M | ₽335/M | ₽3 685 |
| o3 mini | OpenAI | ₽92.14/M | ₽369/M | ₽3 685 |
| o4 mini | OpenAI | ₽92.14/M | ₽369/M | ₽3 685 |
| GLM 4.5 Airx | glm 4.5 airx | ₽92.14/M | ₽377/M | ₽3 727 |
| claude haiku 4.5 | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| Muse Spark 1.1 | Meta | ₽105/M | ₽356/M | ₽3 874 |
| Muse Spark 1.2 | Meta | ₽105/M | ₽356/M | ₽3 874 |
| Muse Spark 1.3 | Meta | ₽105/M | ₽356/M | ₽3 874 |
| Mistral Large 4 | Mistral | ₽114/M | ₽350/M | ₽4 029 |
| gpt 4o mini transcribe | OpenAI | ₽105/M | ₽419/M | ₽4 188 |
| qwen3.8 max | Qwen | ₽129/M | ₽388/M | ₽4 519 |
| Gemini 2.5 Flash Preview Tts | ₽41.88/M | ₽838/M | ₽5 026 | |
| Qwen-Max | Qwen | ₽134/M | ₽536/M | ₽5 361 |
| Mistral Medium 3.5 | Mistral | ₽126/M | ₽628/M | ₽5 654 |
| Nano Banana 2.1 | ₽126/M | ₽628/M | ₽5 654 | |
| fugu max | fugu max | ₽168/M | ₽503/M | ₽5 863 |
| Grok 4.20 Beta 0309 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| Grok 4.20 Beta 0309 (reasoning) | xAI | ₽168/M | ₽503/M | ₽5 863 |
| grok 4.5 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| grok 4.6 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| grok 4.7 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| Qwen3.8 2.4T A95B | Qwen | ₽168/M | ₽503/M | ₽5 863 |
| gpt 4o mini tts | OpenAI | ₽50.26/M | ₽1 005/M | ₽6 031 |
| gemini 2.5 pro | ₽105/M | ₽838/M | ₽6 282 | |
| gemini 3.5 flash | ₽126/M | ₽754/M | ₽6 282 | |
| gpt 5 | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| gpt 5.1 | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| GPT-5.1-Codex | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| Kimi K2.7 Code Highspeed | kimi k2.7 code highspeed | ₽159/M | ₽670/M | ₽6 533 |
| gpt 4.1 | OpenAI | ₽168/M | ₽670/M | ₽6 701 |
| O3 | OpenAI | ₽168/M | ₽670/M | ₽6 701 |
| GLM 4.5 X | glm 4.5 x | ₽184/M | ₽745/M | ₽7 413 |
| claude sonnet 5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| Claude Sonnet 5.5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| gpt 6 sol | OpenAI | ₽168/M | ₽838/M | ₽7 538 |
| gpt 6.1 sol | OpenAI | ₽168/M | ₽838/M | ₽7 538 |
| Gemini 3.1 Pro | ₽168/M | ₽1 005/M | ₽8 376 | |
| Gemini Pro | ₽168/M | ₽1 005/M | ₽8 376 | |
| gpt 4o | OpenAI | ₽209/M | ₽838/M | ₽8 376 |
| gpt 4o transcribe | OpenAI | ₽209/M | ₽838/M | ₽8 376 |
| gpt 5.6 terra | OpenAI | ₽168/M | ₽1 005/M | ₽8 376 |
| gpt image 2 | OpenAI | ₽419/M | ₽419/M | ₽8 376 |
| gpt image 2.5 flare | OpenAI | ₽419/M | ₽419/M | ₽8 376 |
| gpt image 2.5 sunburst | OpenAI | ₽419/M | ₽419/M | ₽8 376 |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽168/M | ₽1 005/M | ₽8 376 | |
| gpt 5.2 | OpenAI | ₽147/M | ₽1 173/M | ₽8 795 |
| gpt 5.3 codex | OpenAI | ₽147/M | ₽1 173/M | ₽8 795 |
| GPT-5.2-Codex | OpenAI | ₽147/M | ₽1 173/M | ₽8 795 |
| Gemini 2.5 Pro Preview Tts | ₽83.76/M | ₽1 675/M | ₽10 051 | |
| Gemini 3.1 Flash TTS | ₽83.76/M | ₽1 675/M | ₽10 051 | |
| gpt 5.4 | OpenAI | ₽209/M | ₽1 256/M | ₽10 470 |
| claude sonnet 4.5 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| claude sonnet 4.6 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| Grok 4 | xAI | ₽251/M | ₽1 256/M | ₽11 308 |
| kimi k3 | MoonshotAI | ₽251/M | ₽1 256/M | ₽11 308 |
| Mistral Large Latest | Mistral | ₽335/M | ₽1 005/M | ₽11 726 |
| gemini 2.5 flash image | ₽25.13/M | ₽2 513/M | ₽13 067 | |
| gpt realtime | OpenAI | ₽335/M | ₽1 340/M | ₽13 402 |
| claude opus 5.5 | Anthropic | ₽335/M | ₽1 675/M | ₽15 077 |
| Gemini 4 Argon | ₽335/M | ₽1 675/M | ₽15 077 | |
| gpt 5.6 sol | OpenAI | ₽335/M | ₽1 675/M | ₽15 077 |
| Muse Wonder 1.0 | muse wonder 1.0 | ₽335/M | ₽1 675/M | ₽15 077 |
| GPT Realtime 2.1 | OpenAI | ₽335/M | ₽2 010/M | ₽16 752 |
| claude opus 4.5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.6 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.7 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 4.8 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude opus 5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| fugu ultra | fugu ultra | ₽419/M | ₽2 513/M | ₽20 940 |
| Fugu Ultra v2.0 | fugu ultra v2.0 | ₽419/M | ₽2 513/M | ₽20 940 |
| gpt 5.5 | OpenAI | ₽419/M | ₽2 513/M | ₽20 940 |
| gpt 4 turbo | OpenAI | ₽838/M | ₽2 513/M | ₽29 316 |
| claude fable 5 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
| claude fable 5.1 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
| gpt 6 astra | OpenAI | ₽838/M | ₽4 188/M | ₽37 692 |
| o1 | OpenAI | ₽1 256/M | ₽5 026/M | ₽50 256 |
| Claude Opus 4 | Anthropic | ₽1 256/M | ₽6 282/M | ₽56 538 |
| gpt 4 | OpenAI | ₽2 513/M | ₽5 026/M | ₽75 384 |
| GPT-5 Pro | OpenAI | ₽1 256/M | ₽10 051/M | ₽75 384 |
| GPT-5.2 Pro | OpenAI | ₽1 759/M | ₽14 072/M | ₽105 538 |
| gpt 5.4 pro | OpenAI | ₽2 513/M | ₽15 077/M | ₽125 640 |
| gpt 5.5 pro | OpenAI | ₽2 513/M | ₽15 077/M | ₽125 640 |
| Grok Imagine | xAI | — | — | — |
| grok imagine video 1.5 | xAI | — | — | — |
| grok imagine video 1.5 lite | xAI | — | — | — |
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 243 моделей AI API. Средняя цена — ₽260/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.84/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 15.10.2026.