RU LLM
Сайт ↗Суверенный LLM-шлюз: 500+ моделей по себестоимости, 152-ФЗ, инфра в РФ
- Моделей
- 124
- Средняя цена
- ₽136/M
- Регион
- Россия · сайт на русский
- Оплата
- USD (баланс), Оплата по счёту в рублях (B2B)
- Биллинг
- за токены
- API
- OpenAI-compatible
- Юрлица
- Да
Страница /models в SSR показывает только первую страницу; полный список — GET /api/v1/models без ключа · Часть id в API — заготовки синка без цены; в каталог попадают только модели с ненулевым тарифом · Биллинг B2B: предоплата по счёту, не карта физлица
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
124 моделей
Текст и чат
оплата за токены · 124
▼
Текст и чат
оплата за токены · 124
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Whisper Large V3 | whisper large v3 | ₽0.09/M | ₽0.09/M | ₽2 |
| dall e 2 | dall e 2 | — | ₽1.68/M | ₽8 |
| whisper 1 | OpenAI | ₽0.50/M | ₽0.50/M | ₽10 |
| DALL E 3 | DALL E 3 | — | ₽3.35/M | ₽17 |
| Gemma 2 9B | airouter cloud | ₽4.19/M | ₽4.19/M | ₽105 |
| Llama 3.3 8B Instruct | Meta | ₽4.19/M | ₽4.19/M | ₽105 |
| Llama Guard 3 | Meta | ₽4.19/M | ₽4.19/M | ₽105 |
| Phi 4 | Microsoft | ₽4.19/M | ₽4.19/M | ₽105 |
| Qwen2.5 7B Instruct | Qwen | ₽4.19/M | ₽4.19/M | ₽105 |
| Amazon Nova Micro | nova micro | ₽2.93/M | ₽11.73/M | ₽117 |
| llama 3.1 8b | Meta | ₽5.03/M | ₽5.03/M | ₽126 |
| Nova Lite | nova lite | ₽5.03/M | ₽20.10/M | ₽201 |
| Ministral 3B | ministral 3b | ₽8.38/M | ₽8.38/M | ₽209 |
| Mistral Small 24B | Mistral | ₽8.38/M | ₽8.38/M | ₽209 |
| StarCoder2 15B | airouter cloud | ₽8.38/M | ₽8.38/M | ₽209 |
| Llama3.1 8B | llama3.1 8b | ₽8.38/M | ₽16.75/M | ₽251 |
| Qwen-Flash | Qwen | ₽4.19/M | ₽33.50/M | ₽251 |
| gpt oss 20b | OpenAI | ₽6.28/M | ₽25.13/M | ₽251 |
| seed 1.6 flash | seed 1.6 flash | ₽6.28/M | ₽25.13/M | ₽251 |
| GLM-4.7 FlashX | Z.ai | ₽5.86/M | ₽33.50/M | ₽285 |
| Gemma 2 27B | airouter cloud | ₽12.56/M | ₽12.56/M | ₽314 |
| Ministral 8B | ministral 8b | ₽12.56/M | ₽12.56/M | ₽314 |
| Dola-Seed 2.0 Mini | ByteDance | ₽8.38/M | ₽33.50/M | ₽335 |
| gemini 2.5 flash lite | ₽8.38/M | ₽33.50/M | ₽335 | |
| DeepSeek V3 | DeepSeek | ₽11.73/M | ₽23.45/M | ₽352 |
| deepseek v4 flash | DeepSeek | ₽11.73/M | ₽23.45/M | ₽352 |
| llama 3.1 70b | Meta | ₽11.73/M | ₽23.45/M | ₽352 |
| qwen 2.5 72b instruct | Qwen | ₽11.73/M | ₽23.45/M | ₽352 |
| Ministral 14B | Mistral | ₽16.75/M | ₽16.75/M | ₽419 |
| Qwen 2.5 32B Instruct | Qwen | ₽16.75/M | ₽16.75/M | ₽419 |
| Yi 1.5 34B | airouter cloud | ₽16.75/M | ₽16.75/M | ₽419 |
| qwen3.8 flash | Qwen | ₽12.56/M | ₽39.37/M | ₽448 |
| glm 5.3 flash | Z.ai | ₽12.56/M | ₽41.88/M | ₽461 |
| deepseek r1 | DeepSeek | ₽11.73/M | ₽46.91/M | ₽469 |
| Jamba 1.5 Mini | ai21 | ₽16.75/M | ₽33.50/M | ₽503 |
| gpt 4o mini | OpenAI | ₽12.56/M | ₽50.26/M | ₽503 |
| gpt oss 120b | OpenAI | ₽12.56/M | ₽50.26/M | ₽503 |
| Mistral Small | Mistral | ₽12.56/M | ₽50.26/M | ₽503 |
| Llama 4 Scout | Meta | ₽16.75/M | ₽50.26/M | ₽586 |
| Command R+ | airouter cloud | ₽25.13/M | ₽25.13/M | ₽628 |
| DBRX Instruct | airouter cloud | ₽25.13/M | ₽25.13/M | ₽628 |
| DeepSeek V3 | DeepSeek | ₽25.13/M | ₽25.13/M | ₽628 |
| Mixtral 8x22B | Mistral | ₽25.13/M | ₽25.13/M | ₽628 |
| Llama 3.3 70B | Meta | ₽28.48/M | ₽33.50/M | ₽737 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽19.26/M | ₽77.06/M | ₽771 |
| GLM 4.5 Air | Z.ai | ₽16.75/M | ₽92.14/M | ₽796 |
| CodeLlama 70B | airouter cloud | ₽33.50/M | ₽33.50/M | ₽838 |
| gpt 5.6 luna | OpenAI | ₽16.75/M | ₽101/M | ₽838 |
| Mistral Large | Mistral | ₽33.50/M | ₽33.50/M | ₽838 |
| gpt 5.4 nano | OpenAI | ₽16.75/M | ₽105/M | ₽859 |
| novita · deepseek · deepseek_v3 | novita | ₽25.13/M | ₽73.71/M | ₽871 |
| DeepSeek V3 | DeepSeek | ₽25.13/M | ₽75.38/M | ₽879 |
| Mistral Codestral | Mistral | ₽25.13/M | ₽75.38/M | ₽879 |
| deepinfra · deepseek-ai · DeepSeek-V3 | deepinfra | ₽22.62/M | ₽92.14/M | ₽913 |
| DeepSeek V3 | DeepSeek | ₽29.32/M | ₽75.38/M | ₽963 |
| Qwen3-VL-Plus | alibaba | ₽16.75/M | ₽134/M | ₽1 005 |
| MiniMax M2.5 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| minimax m2.7 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| minimax m3 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| Llama 3.2 90B Vision | Meta | ₽41.88/M | ₽41.88/M | ₽1 047 |
| qwen3.7 plus | Qwen | ₽26.80/M | ₽107/M | ₽1 072 |
| Qwen-Plus | Qwen | ₽33.50/M | ₽101/M | ₽1 173 |
| ByteDance Seed 1.8 | ByteDance | ₽20.94/M | ₽168/M | ₽1 256 |
| Dola-Seed 2.0 Lite | ByteDance | ₽20.94/M | ₽168/M | ₽1 256 |
| gpt 4.1 mini | OpenAI | ₽33.50/M | ₽134/M | ₽1 340 |
| qwen3 235b a22b | Qwen | ₽19.26/M | ₽193/M | ₽1 349 |
| Command R | command r | ₽41.88/M | ₽126/M | ₽1 466 |
| Mistral Large 3 | Mistral | ₽41.88/M | ₽126/M | ₽1 466 |
| Llama 3.3 70B | Meta | ₽50.26/M | ₽101/M | ₽1 508 |
| gemini 2.5 flash | ₽25.13/M | ₽209/M | ₽1 550 | |
| GLM 4.5V | Z.ai | ₽50.26/M | ₽151/M | ₽1 759 |
| GLM 4.5 | Z.ai | ₽50.26/M | ₽184/M | ₽1 926 |
| GLM 4.6 | Z.ai | ₽50.26/M | ₽184/M | ₽1 926 |
| glm 4.7 | Z.ai | ₽50.26/M | ₽184/M | ₽1 926 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽50.26/M | ₽201/M | ₽2 010 |
| Nemotron 3 Ultra | fireworks | ₽50.26/M | ₽201/M | ₽2 010 |
| Dola-Seed 2.0 Pro | ByteDance | ₽41.88/M | ₽251/M | ₽2 094 |
| Sonar | perplexity | ₽83.76/M | ₽83.76/M | ₽2 094 |
| Llama 3.3 70B Instruct Turbo | Meta | ₽87.11/M | ₽87.11/M | ₽2 178 |
| qwen3.6 27b | Qwen | ₽50.26/M | ₽251/M | ₽2 262 |
| QwQ Plus | Qwen | ₽67.01/M | ₽201/M | ₽2 345 |
| Grok Build 0.1 | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| Nova Pro | nova pro | ₽67.01/M | ₽268/M | ₽2 680 |
| qwen vl max | Qwen | ₽67.01/M | ₽268/M | ₽2 680 |
| gemini 3.8 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| qwen3.8 27b | Qwen | ₽67.01/M | ₽335/M | ₽3 015 |
| glm 5 | Z.ai | ₽83.76/M | ₽268/M | ₽3 015 |
| gpt 5.4 mini | OpenAI | ₽62.82/M | ₽377/M | ₽3 141 |
| grok 4.3 | xAI | ₽105/M | ₽209/M | ₽3 141 |
| kimi k2.6 | MoonshotAI | ₽79.57/M | ₽335/M | ₽3 267 |
| kimi k2.7 code | MoonshotAI | ₽79.57/M | ₽335/M | ₽3 267 |
| claude haiku 4.5 | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| qwen3 coder plus | Qwen | ₽83.76/M | ₽419/M | ₽3 769 |
| deepseek v4 pro | DeepSeek | ₽111/M | ₽332/M | ₽3 870 |
| glm 5.3 | Z.ai | ₽117/M | ₽369/M | ₽4 188 |
| Qwen3 Max | Qwen | ₽101/M | ₽503/M | ₽4 523 |
| Mistral Medium | Mistral | ₽126/M | ₽628/M | ₽5 654 |
| grok 4.5 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| grok 4.6 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| qwen3.8 max | Qwen | ₽168/M | ₽503/M | ₽5 863 |
| gemini 2.5 pro | ₽105/M | ₽838/M | ₽6 282 | |
| gemini 3.5 flash | ₽126/M | ₽754/M | ₽6 282 | |
| gpt 5.1 | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| gpt 4.1 | OpenAI | ₽168/M | ₽670/M | ₽6 701 |
| Jamba 1.5 Large | ai21 | ₽168/M | ₽670/M | ₽6 701 |
| Jamba Large | ai21 | ₽168/M | ₽670/M | ₽6 701 |
| sonar deep research | perplexity | ₽168/M | ₽670/M | ₽6 701 |
| sonar reasoning pro | perplexity | ₽168/M | ₽670/M | ₽6 701 |
| claude sonnet 5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| Command R Plus | command r plus | ₽209/M | ₽838/M | ₽8 376 |
| gpt 4o | OpenAI | ₽209/M | ₽838/M | ₽8 376 |
| gpt 5.6 terra | OpenAI | ₽168/M | ₽1 005/M | ₽8 376 |
| gpt 5.2 | OpenAI | ₽147/M | ₽1 173/M | ₽8 795 |
| gpt 5.4 | OpenAI | ₽209/M | ₽1 256/M | ₽10 470 |
| claude sonnet 4.6 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| kimi k3 | MoonshotAI | ₽251/M | ₽1 256/M | ₽11 308 |
| sonar pro | perplexity | ₽251/M | ₽1 256/M | ₽11 308 |
| gpt 5.6 | OpenAI | ₽335/M | ₽1 675/M | ₽15 077 |
| claude opus 5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| gpt 5.5 | OpenAI | ₽419/M | ₽2 513/M | ₽20 940 |
| tts 1 | OpenAI | ₽1 256/M | ₽1 256/M | ₽25 128 |
| gpt 4 turbo | OpenAI | ₽838/M | ₽2 513/M | ₽29 316 |
| claude fable 5.1 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
| tts 1 hd | OpenAI | ₽2 513/M | ₽2 513/M | ₽50 256 |
Текст и чат
оплата за токены · 124
▼
Текст и чат
оплата за токены · 124
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Whisper Large V3 | whisper large v3 | ₽0.09/M | ₽0.09/M | ₽2 |
| dall e 2 | dall e 2 | — | ₽1.68/M | ₽8 |
| whisper 1 | OpenAI | ₽0.50/M | ₽0.50/M | ₽10 |
| DALL E 3 | DALL E 3 | — | ₽3.35/M | ₽17 |
| Gemma 2 9B | airouter cloud | ₽4.19/M | ₽4.19/M | ₽105 |
| Llama 3.3 8B Instruct | Meta | ₽4.19/M | ₽4.19/M | ₽105 |
| Llama Guard 3 | Meta | ₽4.19/M | ₽4.19/M | ₽105 |
| Phi 4 | Microsoft | ₽4.19/M | ₽4.19/M | ₽105 |
| Qwen2.5 7B Instruct | Qwen | ₽4.19/M | ₽4.19/M | ₽105 |
| Amazon Nova Micro | nova micro | ₽2.93/M | ₽11.73/M | ₽117 |
| llama 3.1 8b | Meta | ₽5.03/M | ₽5.03/M | ₽126 |
| Nova Lite | nova lite | ₽5.03/M | ₽20.10/M | ₽201 |
| Ministral 3B | ministral 3b | ₽8.38/M | ₽8.38/M | ₽209 |
| Mistral Small 24B | Mistral | ₽8.38/M | ₽8.38/M | ₽209 |
| StarCoder2 15B | airouter cloud | ₽8.38/M | ₽8.38/M | ₽209 |
| Llama3.1 8B | llama3.1 8b | ₽8.38/M | ₽16.75/M | ₽251 |
| Qwen-Flash | Qwen | ₽4.19/M | ₽33.50/M | ₽251 |
| gpt oss 20b | OpenAI | ₽6.28/M | ₽25.13/M | ₽251 |
| seed 1.6 flash | seed 1.6 flash | ₽6.28/M | ₽25.13/M | ₽251 |
| GLM-4.7 FlashX | Z.ai | ₽5.86/M | ₽33.50/M | ₽285 |
| Gemma 2 27B | airouter cloud | ₽12.56/M | ₽12.56/M | ₽314 |
| Ministral 8B | ministral 8b | ₽12.56/M | ₽12.56/M | ₽314 |
| Dola-Seed 2.0 Mini | ByteDance | ₽8.38/M | ₽33.50/M | ₽335 |
| gemini 2.5 flash lite | ₽8.38/M | ₽33.50/M | ₽335 | |
| DeepSeek V3 | DeepSeek | ₽11.73/M | ₽23.45/M | ₽352 |
| deepseek v4 flash | DeepSeek | ₽11.73/M | ₽23.45/M | ₽352 |
| llama 3.1 70b | Meta | ₽11.73/M | ₽23.45/M | ₽352 |
| qwen 2.5 72b instruct | Qwen | ₽11.73/M | ₽23.45/M | ₽352 |
| Ministral 14B | Mistral | ₽16.75/M | ₽16.75/M | ₽419 |
| Qwen 2.5 32B Instruct | Qwen | ₽16.75/M | ₽16.75/M | ₽419 |
| Yi 1.5 34B | airouter cloud | ₽16.75/M | ₽16.75/M | ₽419 |
| qwen3.8 flash | Qwen | ₽12.56/M | ₽39.37/M | ₽448 |
| glm 5.3 flash | Z.ai | ₽12.56/M | ₽41.88/M | ₽461 |
| deepseek r1 | DeepSeek | ₽11.73/M | ₽46.91/M | ₽469 |
| Jamba 1.5 Mini | ai21 | ₽16.75/M | ₽33.50/M | ₽503 |
| gpt 4o mini | OpenAI | ₽12.56/M | ₽50.26/M | ₽503 |
| gpt oss 120b | OpenAI | ₽12.56/M | ₽50.26/M | ₽503 |
| Mistral Small | Mistral | ₽12.56/M | ₽50.26/M | ₽503 |
| Llama 4 Scout | Meta | ₽16.75/M | ₽50.26/M | ₽586 |
| Command R+ | airouter cloud | ₽25.13/M | ₽25.13/M | ₽628 |
| DBRX Instruct | airouter cloud | ₽25.13/M | ₽25.13/M | ₽628 |
| DeepSeek V3 | DeepSeek | ₽25.13/M | ₽25.13/M | ₽628 |
| Mixtral 8x22B | Mistral | ₽25.13/M | ₽25.13/M | ₽628 |
| Llama 3.3 70B | Meta | ₽28.48/M | ₽33.50/M | ₽737 |
| Qwen3 235B A22B Instruct 2507 | qwen3 235b a22b instruct 2507 | ₽19.26/M | ₽77.06/M | ₽771 |
| GLM 4.5 Air | Z.ai | ₽16.75/M | ₽92.14/M | ₽796 |
| CodeLlama 70B | airouter cloud | ₽33.50/M | ₽33.50/M | ₽838 |
| gpt 5.6 luna | OpenAI | ₽16.75/M | ₽101/M | ₽838 |
| Mistral Large | Mistral | ₽33.50/M | ₽33.50/M | ₽838 |
| gpt 5.4 nano | OpenAI | ₽16.75/M | ₽105/M | ₽859 |
| novita · deepseek · deepseek_v3 | novita | ₽25.13/M | ₽73.71/M | ₽871 |
| DeepSeek V3 | DeepSeek | ₽25.13/M | ₽75.38/M | ₽879 |
| Mistral Codestral | Mistral | ₽25.13/M | ₽75.38/M | ₽879 |
| deepinfra · deepseek-ai · DeepSeek-V3 | deepinfra | ₽22.62/M | ₽92.14/M | ₽913 |
| DeepSeek V3 | DeepSeek | ₽29.32/M | ₽75.38/M | ₽963 |
| Qwen3-VL-Plus | alibaba | ₽16.75/M | ₽134/M | ₽1 005 |
| MiniMax M2.5 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| minimax m2.7 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| minimax m3 | MiniMax | ₽25.13/M | ₽101/M | ₽1 005 |
| Llama 3.2 90B Vision | Meta | ₽41.88/M | ₽41.88/M | ₽1 047 |
| qwen3.7 plus | Qwen | ₽26.80/M | ₽107/M | ₽1 072 |
| Qwen-Plus | Qwen | ₽33.50/M | ₽101/M | ₽1 173 |
| ByteDance Seed 1.8 | ByteDance | ₽20.94/M | ₽168/M | ₽1 256 |
| Dola-Seed 2.0 Lite | ByteDance | ₽20.94/M | ₽168/M | ₽1 256 |
| gpt 4.1 mini | OpenAI | ₽33.50/M | ₽134/M | ₽1 340 |
| qwen3 235b a22b | Qwen | ₽19.26/M | ₽193/M | ₽1 349 |
| Command R | command r | ₽41.88/M | ₽126/M | ₽1 466 |
| Mistral Large 3 | Mistral | ₽41.88/M | ₽126/M | ₽1 466 |
| Llama 3.3 70B | Meta | ₽50.26/M | ₽101/M | ₽1 508 |
| gemini 2.5 flash | ₽25.13/M | ₽209/M | ₽1 550 | |
| GLM 4.5V | Z.ai | ₽50.26/M | ₽151/M | ₽1 759 |
| GLM 4.5 | Z.ai | ₽50.26/M | ₽184/M | ₽1 926 |
| GLM 4.6 | Z.ai | ₽50.26/M | ₽184/M | ₽1 926 |
| glm 4.7 | Z.ai | ₽50.26/M | ₽184/M | ₽1 926 |
| MiniMax M2.7 highspeed | MiniMax M2.7 highspeed | ₽50.26/M | ₽201/M | ₽2 010 |
| Nemotron 3 Ultra | fireworks | ₽50.26/M | ₽201/M | ₽2 010 |
| Dola-Seed 2.0 Pro | ByteDance | ₽41.88/M | ₽251/M | ₽2 094 |
| Sonar | perplexity | ₽83.76/M | ₽83.76/M | ₽2 094 |
| Llama 3.3 70B Instruct Turbo | Meta | ₽87.11/M | ₽87.11/M | ₽2 178 |
| qwen3.6 27b | Qwen | ₽50.26/M | ₽251/M | ₽2 262 |
| QwQ Plus | Qwen | ₽67.01/M | ₽201/M | ₽2 345 |
| Grok Build 0.1 | xAI | ₽83.76/M | ₽168/M | ₽2 513 |
| Nova Pro | nova pro | ₽67.01/M | ₽268/M | ₽2 680 |
| qwen vl max | Qwen | ₽67.01/M | ₽268/M | ₽2 680 |
| gemini 3.8 flash | ₽62.82/M | ₽314/M | ₽2 827 | |
| qwen3.8 27b | Qwen | ₽67.01/M | ₽335/M | ₽3 015 |
| glm 5 | Z.ai | ₽83.76/M | ₽268/M | ₽3 015 |
| gpt 5.4 mini | OpenAI | ₽62.82/M | ₽377/M | ₽3 141 |
| grok 4.3 | xAI | ₽105/M | ₽209/M | ₽3 141 |
| kimi k2.6 | MoonshotAI | ₽79.57/M | ₽335/M | ₽3 267 |
| kimi k2.7 code | MoonshotAI | ₽79.57/M | ₽335/M | ₽3 267 |
| claude haiku 4.5 | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| qwen3 coder plus | Qwen | ₽83.76/M | ₽419/M | ₽3 769 |
| deepseek v4 pro | DeepSeek | ₽111/M | ₽332/M | ₽3 870 |
| glm 5.3 | Z.ai | ₽117/M | ₽369/M | ₽4 188 |
| Qwen3 Max | Qwen | ₽101/M | ₽503/M | ₽4 523 |
| Mistral Medium | Mistral | ₽126/M | ₽628/M | ₽5 654 |
| grok 4.5 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| grok 4.6 | xAI | ₽168/M | ₽503/M | ₽5 863 |
| qwen3.8 max | Qwen | ₽168/M | ₽503/M | ₽5 863 |
| gemini 2.5 pro | ₽105/M | ₽838/M | ₽6 282 | |
| gemini 3.5 flash | ₽126/M | ₽754/M | ₽6 282 | |
| gpt 5.1 | OpenAI | ₽105/M | ₽838/M | ₽6 282 |
| gpt 4.1 | OpenAI | ₽168/M | ₽670/M | ₽6 701 |
| Jamba 1.5 Large | ai21 | ₽168/M | ₽670/M | ₽6 701 |
| Jamba Large | ai21 | ₽168/M | ₽670/M | ₽6 701 |
| sonar deep research | perplexity | ₽168/M | ₽670/M | ₽6 701 |
| sonar reasoning pro | perplexity | ₽168/M | ₽670/M | ₽6 701 |
| claude sonnet 5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| Command R Plus | command r plus | ₽209/M | ₽838/M | ₽8 376 |
| gpt 4o | OpenAI | ₽209/M | ₽838/M | ₽8 376 |
| gpt 5.6 terra | OpenAI | ₽168/M | ₽1 005/M | ₽8 376 |
| gpt 5.2 | OpenAI | ₽147/M | ₽1 173/M | ₽8 795 |
| gpt 5.4 | OpenAI | ₽209/M | ₽1 256/M | ₽10 470 |
| claude sonnet 4.6 | Anthropic | ₽251/M | ₽1 256/M | ₽11 308 |
| kimi k3 | MoonshotAI | ₽251/M | ₽1 256/M | ₽11 308 |
| sonar pro | perplexity | ₽251/M | ₽1 256/M | ₽11 308 |
| gpt 5.6 | OpenAI | ₽335/M | ₽1 675/M | ₽15 077 |
| claude opus 5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| gpt 5.5 | OpenAI | ₽419/M | ₽2 513/M | ₽20 940 |
| tts 1 | OpenAI | ₽1 256/M | ₽1 256/M | ₽25 128 |
| gpt 4 turbo | OpenAI | ₽838/M | ₽2 513/M | ₽29 316 |
| claude fable 5.1 | Anthropic | ₽838/M | ₽4 188/M | ₽37 692 |
| tts 1 hd | OpenAI | ₽2 513/M | ₽2 513/M | ₽50 256 |
О провайдере
О сервисе
RU LLM позиционируется как «OpenRouter в РФ» для enterprise: суверенный шлюз с маршрутизацией, fallback и инфраструктурой в России. Монетизация — B2B-инвойсинг и сервис, а не markup на токены. Подходит банкам, госсектору, телекому и компаниям, которым нужны зарубежные модели без VPN и с юридической прозрачностью по 152-ФЗ.
Как сравнивать на AI-APISHKA
Сравнивайте $/1M напрямую с OpenRouter и TokenFlux — у RU LLM заявлена нулевая наценка. Для рублёвого биллинга учитывайте курс ЦБ при пополнении. Self-Hosted модели (airouter-cloud/*) — отдельная линейка с пометкой self-hosted.
Частые вопросы
- RU LLM берёт наценку на API?
- На сайте заявлено 0% markup: тарифы за токен совпадают с ценами upstream-провайдеров; монетизация через B2B-сервис и инвойсинг.
- В какой валюте биллинг RU LLM?
- Баланс и списания — в USD; счёт для пополнения выставляется в рублях по курсу ЦБ РФ.
- Сколько моделей видно без API-ключа?
- Без ключа доступен GET https://api.rullm.com/api/v1/models — полный каталог. На странице /models в HTML только первая страница. В сравнение попадают модели с ненулевой ценой.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
RU LLM предлагает 124 моделей AI API. Средняя цена — ₽136/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.09/M (Whisper Large V3).
Сравните цены на Whisper Large V3 , dall e 2 , whisper 1 , DALL E 3 и Gemma 2 9B у других провайдеров или в каталоге агрегаторов . Данные обновлены 15.10.2026.