231 модель — OpenAI-compatible aggregator с публичным pricing API
- Моделей
- 162
- Средняя цена
- ₽304/M
- Регион
- Зарубежный · сайт на английский
- Оплата
- USD (доллары), Pay-as-you-go
- Биллинг
- за токены
- API
- OpenAI-compatible
Меньше известный бренд vs OpenRouter/Requesty · Документация и enterprise features — ограниченно публичны
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
162 моделей
Текст и чат
оплата за токены · 162
▼
Текст и чат
оплата за токены · 162
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Llama 3.2 1B Preview | meta llama | ₽1.56/M | ₽1.56/M | ₽39 |
| Llama 3.2 3B | llama 3.2 3b | ₽1.56/M | ₽1.56/M | ₽39 |
| Open Mistral Nemo 2407 | open mistral nemo 2407 | ₽1.36/M | ₽3.12/M | ₽43 |
| llama guard 4 12b | meta llama | ₽1.95/M | ₽1.95/M | ₽49 |
| Nova Micro | amazon | ₽1.36/M | ₽5.46/M | ₽55 |
| Mythomax L2 13B | Gryphe | ₽2.53/M | ₽2.53/M | ₽63 |
| gpt oss 20b | openai | ₽1.95/M | ₽7.80/M | ₽78 |
| Qwen Turbo | qwen turbo | ₽1.95/M | ₽7.80/M | ₽78 |
| Phi 4 | Microsoft | ₽2.73/M | ₽5.46/M | ₽82 |
| Nova Lite | amazon | ₽2.34/M | ₽9.35/M | ₽94 |
| Llama 3.1 8B | llama 3.1 8b | ₽3.90/M | ₽3.90/M | ₽97 |
| Ministral 8B 2410 | ministral 8b 2410 | ₽3.90/M | ₽3.90/M | ₽97 |
| qwen3 14b | qwen | ₽3.12/M | ₽9.35/M | ₽109 |
| gemma 3 27b it | ₽3.90/M | ₽7.80/M | ₽117 | |
| GPT-5 Nano | gpt 5 nano | ₽1.95/M | ₽15.59/M | ₽117 |
| Gemini 2.0 Flash-Lite | gemini 2.0 flash lite | ₽2.92/M | ₽11.69/M | ₽117 |
| glm 4.7 flash | z ai | ₽2.73/M | ₽15.59/M | ₽133 |
| mimo v2 flash | xiaomi | ₽3.90/M | ₽11.69/M | ₽136 |
| Mistral Small 2501 | mistral small 2501 | ₽3.90/M | ₽11.69/M | ₽136 |
| Mistral Small 2503 | mistral small 2503 | ₽3.90/M | ₽11.69/M | ₽136 |
| Mistral Small 3.2 | mistral small 2506 | ₽3.90/M | ₽11.69/M | ₽136 |
| qwen3 30b a3b | qwen | ₽3.90/M | ₽11.69/M | ₽136 |
| qwen3 32b | qwen | ₽3.90/M | ₽11.69/M | ₽136 |
| Llama 3 (8B) | llama 3 8b | ₽5.46/M | ₽7.80/M | ₽148 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽3.90/M | ₽15.59/M | ₽156 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽3.90/M | ₽15.59/M | ₽156 |
| gpt 4.1 nano | openai | ₽3.90/M | ₽15.59/M | ₽156 |
| DeepSeek Chat (V3) | deepseek chat | ₽5.46/M | ₽10.91/M | ₽164 |
| deepseek v4 flash | deepseek | ₽5.46/M | ₽10.91/M | ₽164 |
| gemma 4 26b a4b it | ₽4.68/M | ₽15.59/M | ₽172 | |
| qwen 2.5 72b instruct | qwen | ₽5.07/M | ₽15.59/M | ₽179 |
| gemma 4 31b it | ₽5.46/M | ₽15.59/M | ₽187 | |
| llama 3.2 11b vision:free | meta llama | ₽7.80/M | ₽7.80/M | ₽195 |
| qwen3 235b a22b | qwen | ₽3.90/M | ₽23.39/M | ₽195 |
| gpt oss 120b | openai | ₽5.85/M | ₽23.39/M | ₽234 |
| GPT-4o Mini | gpt 4o mini | ₽5.85/M | ₽23.39/M | ₽234 |
| mistral small 2603 | mistral small 2603 | ₽5.85/M | ₽23.39/M | ₽234 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽7.80/M | ₽19.49/M | ₽253 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽7.80/M | ₽19.49/M | ₽253 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽7.80/M | ₽19.49/M | ₽253 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽7.80/M | ₽19.49/M | ₽253 |
| Mistral Saba 2502 | mistral saba 2502 | ₽7.80/M | ₽23.39/M | ₽273 |
| qwen3 235b a22b 2507 | qwen | ₽5.85/M | ₽33.13/M | ₽283 |
| deepseek v3.2 | deepseek | ₽10.52/M | ₽15.98/M | ₽290 |
| Qwq 32b | qwen | ₽11.30/M | ₽15.20/M | ₽302 |
| deepseek chat v3.1 | deepseek | ₽7.80/M | ₽31.18/M | ₽312 |
| Venice Uncensored | venice uncensored | ₽7.80/M | ₽35.08/M | ₽331 |
| Grok 3 Mini | grok 3 mini | ₽11.69/M | ₽19.49/M | ₽331 |
| minimax m2 | minimax | ₽7.80/M | ₽38.98/M | ₽351 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽5.46/M | ₽54.57/M | ₽382 |
| gpt 5.4 nano | openai | ₽7.80/M | ₽48.72/M | ₽400 |
| DeepSeek Chat v3.1 Terminus | deepseek chat v3.1 terminus | ₽10.52/M | ₽38.98/M | ₽405 |
| Codestral 2501 | codestral 2501 | ₽11.69/M | ₽35.08/M | ₽409 |
| Claude 3 Haiku | Anthropic | ₽9.74/M | ₽48.72/M | ₽439 |
| Grok Code Fast 1 | grok code fast 1 | ₽7.80/M | ₽58.47/M | ₽448 |
| minimax m2.1 | minimax | ₽11.69/M | ₽46.77/M | ₽468 |
| minimax m2.5 | minimax | ₽11.69/M | ₽46.77/M | ₽468 |
| minimax m2.7 | minimax | ₽11.69/M | ₽46.77/M | ₽468 |
| minimax m3 | minimax | ₽11.69/M | ₽46.77/M | ₽468 |
| qwen3 coder | qwen | ₽11.69/M | ₽46.77/M | ₽468 |
| gemini 3.1 flash image | ₽9.74/M | ₽58.47/M | ₽487 | |
| gemini 3.1 flash lite | ₽9.74/M | ₽58.47/M | ₽487 | |
| gemini 3.1 flash lite image | ₽9.74/M | ₽58.47/M | ₽487 | |
| WizardLM-2 8x22B | microsoft | ₽19.49/M | ₽19.49/M | ₽487 |
| deepseek v4 pro | deepseek | ₽16.96/M | ₽33.91/M | ₽509 |
| glm 4.5 | z ai | ₽13.64/M | ₽60.42/M | ₽575 |
| gpt 5.1 codex mini | openai | ₽9.74/M | ₽77.96/M | ₽585 |
| GPT-5 Mini | gpt 5 mini | ₽9.74/M | ₽77.96/M | ₽585 |
| Kimi K2 | kimi k2 | ₽5.46/M | ₽97.06/M | ₽594 |
| Llama 3.3 70B | llama 3.3 70b | ₽23.00/M | ₽30.79/M | ₽614 |
| gpt 4.1 mini | openai | ₽15.59/M | ₽62.37/M | ₽624 |
| qwen3.7 plus | qwen | ₽15.59/M | ₽62.37/M | ₽624 |
| llama 3.1 70b | llama 3.1 70b | ₽23.39/M | ₽31.18/M | ₽624 |
| Magistral Small 2509 | magistral small 2509 | ₽19.49/M | ₽58.47/M | ₽682 |
| mistral large 2512 | mistral large 2512 | ₽19.49/M | ₽58.47/M | ₽682 |
| Mistral Medium 2505 | mistral medium 2505 | ₽15.59/M | ₽77.96/M | ₽702 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽11.69/M | ₽97.45/M | ₽721 |
| gemini 2.5 flash image | ₽11.69/M | ₽97.45/M | ₽721 | |
| glm 4.6 | z ai | ₽19.49/M | ₽68.21/M | ₽731 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽18.71/M | ₽74.84/M | ₽748 |
| LLama 3 (70B) | llama 3 70b | ₽32.74/M | ₽34.69/M | ₽828 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽21.44/M | ₽85.36/M | ₽856 |
| llama 4 maverick 17b 128e instruct | llama 4 maverick 17b 128e instruct | ₽21.44/M | ₽85.36/M | ₽856 |
| glm 4.7 | z ai | ₽23.39/M | ₽85.75/M | ₽897 |
| Gemini 3 Flash | gemini 3 flash | ₽19.49/M | ₽117/M | ₽974 |
| qwen3.5 397b a17b | qwen | ₽23.39/M | ₽101/M | ₽974 |
| Sonar | perplexity | ₽38.98/M | ₽38.98/M | ₽974 |
| minimax m1 | minimax | ₽31.18/M | ₽75.03/M | ₽999 |
| DeepSeek Prover V2 | DeepSeek Prover V2 | ₽27.28/M | ₽97.45/M | ₽1 033 |
| Kimi K2.5 | kimi k2.5 | ₽23.39/M | ₽117/M | ₽1 052 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽27.28/M | ₽109/M | ₽1 091 |
| GLM-5 | glm 5 | ₽31.18/M | ₽99.78/M | ₽1 123 |
| qwen3 coder plus | qwen | ₽38.98/M | ₽70.16/M | ₽1 130 |
| Nova Pro | amazon | ₽31.18/M | ₽125/M | ₽1 247 |
| glm 5 turbo | z ai | ₽37.42/M | ₽125/M | ₽1 372 |
| Claude 3.5 Haiku | Anthropic | ₽31.18/M | ₽156/M | ₽1 403 |
| gpt 5.4 mini | openai | ₽29.23/M | ₽175/M | ₽1 462 |
| kimi k2.6 | moonshotai | ₽37.03/M | ₽156/M | ₽1 520 |
| O3 Mini | o3 mini | ₽42.88/M | ₽172/M | ₽1 715 |
| O4 Mini | o4 mini | ₽42.88/M | ₽172/M | ₽1 715 |
| glm 5.1 | z ai | ₽48.72/M | ₽154/M | ₽1 746 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽38.98/M | ₽195/M | ₽1 754 |
| glm 5.2 | z ai | ₽54.57/M | ₽172/M | ₽1 949 |
| Qwen3 Max | qwen3 max | ₽46.77/M | ₽234/M | ₽2 105 |
| Codex Mini | codex mini | ₽58.47/M | ₽234/M | ₽2 339 |
| Qwen Max | qwen max | ₽62.37/M | ₽249/M | ₽2 495 |
| gemini 3.5 flash | ₽58.47/M | ₽312/M | ₽2 728 | |
| grok 4.20 | x ai | ₽77.96/M | ₽234/M | ₽2 728 |
| Mistral Large 2411 | mistral large 2411 | ₽77.96/M | ₽234/M | ₽2 728 |
| Pixtral Large 2411 | pixtral large 2411 | ₽77.96/M | ₽234/M | ₽2 728 |
| gpt 4o mini tts | openai | ₽23.39/M | ₽468/M | ₽2 806 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽48.72/M | ₽390/M | ₽2 923 |
| gpt 5 chat | openai | ₽48.72/M | ₽390/M | ₽2 923 |
| gpt 5 codex | openai | ₽48.72/M | ₽390/M | ₽2 923 |
| gpt 5.1 | openai | ₽48.72/M | ₽390/M | ₽2 923 |
| gpt 5.1 chat | openai | ₽48.72/M | ₽390/M | ₽2 923 |
| gpt 5.1 codex | openai | ₽48.72/M | ₽390/M | ₽2 923 |
| gpt 5.1 codex max | openai | ₽48.72/M | ₽390/M | ₽2 923 |
| GPT-5 | gpt 5 | ₽48.72/M | ₽390/M | ₽2 923 |
| Llama 3.1 405B | Llama 3.1 405B | ₽117/M | ₽117/M | ₽2 923 |
| gpt 4.1 | openai | ₽77.96/M | ₽312/M | ₽3 118 |
| O3 | o3 | ₽77.96/M | ₽312/M | ₽3 118 |
| sonar deep research | perplexity | ₽77.96/M | ₽312/M | ₽3 118 |
| sonar reasoning pro | perplexity | ₽77.96/M | ₽312/M | ₽3 118 |
| claude sonnet 5 | anthropic | ₽77.96/M | ₽390/M | ₽3 508 |
| Grok 2 Vision 1212 | grok 2 vision 1212 | ₽77.96/M | ₽390/M | ₽3 508 |
| gemini 3 pro image | ₽77.96/M | ₽468/M | ₽3 898 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽77.96/M | ₽468/M | ₽3 898 |
| Cohere Command A | cohere command a | ₽97.45/M | ₽390/M | ₽3 898 |
| GPT-4o | gpt 4o | ₽97.45/M | ₽390/M | ₽3 898 |
| gpt 5.2 | openai | ₽68.21/M | ₽546/M | ₽4 093 |
| gpt 5.2 chat | openai | ₽68.21/M | ₽546/M | ₽4 093 |
| gpt 5.2 codex | openai | ₽68.21/M | ₽546/M | ₽4 093 |
| gpt 5.3 chat | openai | ₽68.21/M | ₽546/M | ₽4 093 |
| gpt 5.3 codex | openai | ₽68.21/M | ₽546/M | ₽4 093 |
| O1 Mini | o1 mini | ₽117/M | ₽468/M | ₽4 677 |
| gpt 5.4 | openai | ₽97.45/M | ₽585/M | ₽4 872 |
| claude 3 5 sonnet | claude 3 5 sonnet | ₽117/M | ₽585/M | ₽5 262 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽117/M | ₽585/M | ₽5 262 |
| Claude Sonnet 4 | claude sonnet 4 | ₽117/M | ₽585/M | ₽5 262 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽117/M | ₽585/M | ₽5 262 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽117/M | ₽585/M | ₽5 262 |
| Grok 3 | grok 3 | ₽117/M | ₽585/M | ₽5 262 |
| sonar pro | perplexity | ₽117/M | ₽585/M | ₽5 262 |
| Grok 4 | grok 4 | ₽175/M | ₽877/M | ₽7 893 |
| Claude Opus 4.5 | claude opus 4 5 | ₽195/M | ₽974/M | ₽8 770 |
| Claude Opus 4.6 | claude opus 4 6 | ₽195/M | ₽974/M | ₽8 770 |
| gpt 5.5 | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽390/M | ₽1 169/M | ₽13 642 |
| gpt 4 turbo | openai | ₽390/M | ₽1 169/M | ₽13 642 |
| claude fable 5 | anthropic | ₽468/M | ₽2 339/M | ₽21 048 |
| O1 | o1 | ₽585/M | ₽2 339/M | ₽23 387 |
| Claude 3 Opus | claude 3 opus | ₽585/M | ₽2 923/M | ₽26 310 |
| Claude Opus 4 | claude opus 4 | ₽780/M | ₽3 898/M | ₽35 081 |
| gpt 4 | openai | ₽1 169/M | ₽2 339/M | ₽35 081 |
| gpt 5.2 pro | openai | ₽858/M | ₽6 548/M | ₽49 892 |
| gpt 5.4 pro | openai | ₽1 169/M | ₽7 016/M | ₽58 468 |
| gpt 5.5 pro | openai | ₽1 559/M | ₽7 796/M | ₽70 161 |
| Eleven English v1 | eleven_monolingual_v1 | ₽7 016/M | ₽7 016/M | ₽140 322 |
| Eleven Multilingual v1 | eleven_multilingual_v1 | ₽7 016/M | ₽7 016/M | ₽140 322 |
| Eleven Turbo v2 | eleven_turbo_v2 | ₽7 016/M | ₽7 016/M | ₽140 322 |
| Eleven v3 | eleven_v3 | ₽7 016/M | ₽7 016/M | ₽140 322 |
Текст и чат
оплата за токены · 162
▼
Текст и чат
оплата за токены · 162
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Llama 3.2 1B Preview | meta llama | ₽1.56/M | ₽1.56/M | ₽39 |
| Llama 3.2 3B | llama 3.2 3b | ₽1.56/M | ₽1.56/M | ₽39 |
| Open Mistral Nemo 2407 | open mistral nemo 2407 | ₽1.36/M | ₽3.12/M | ₽43 |
| llama guard 4 12b | meta llama | ₽1.95/M | ₽1.95/M | ₽49 |
| Nova Micro | amazon | ₽1.36/M | ₽5.46/M | ₽55 |
| Mythomax L2 13B | Gryphe | ₽2.53/M | ₽2.53/M | ₽63 |
| gpt oss 20b | openai | ₽1.95/M | ₽7.80/M | ₽78 |
| Qwen Turbo | qwen turbo | ₽1.95/M | ₽7.80/M | ₽78 |
| Phi 4 | Microsoft | ₽2.73/M | ₽5.46/M | ₽82 |
| Nova Lite | amazon | ₽2.34/M | ₽9.35/M | ₽94 |
| Llama 3.1 8B | llama 3.1 8b | ₽3.90/M | ₽3.90/M | ₽97 |
| Ministral 8B 2410 | ministral 8b 2410 | ₽3.90/M | ₽3.90/M | ₽97 |
| qwen3 14b | qwen | ₽3.12/M | ₽9.35/M | ₽109 |
| gemma 3 27b it | ₽3.90/M | ₽7.80/M | ₽117 | |
| GPT-5 Nano | gpt 5 nano | ₽1.95/M | ₽15.59/M | ₽117 |
| Gemini 2.0 Flash-Lite | gemini 2.0 flash lite | ₽2.92/M | ₽11.69/M | ₽117 |
| glm 4.7 flash | z ai | ₽2.73/M | ₽15.59/M | ₽133 |
| mimo v2 flash | xiaomi | ₽3.90/M | ₽11.69/M | ₽136 |
| Mistral Small 2501 | mistral small 2501 | ₽3.90/M | ₽11.69/M | ₽136 |
| Mistral Small 2503 | mistral small 2503 | ₽3.90/M | ₽11.69/M | ₽136 |
| Mistral Small 3.2 | mistral small 2506 | ₽3.90/M | ₽11.69/M | ₽136 |
| qwen3 30b a3b | qwen | ₽3.90/M | ₽11.69/M | ₽136 |
| qwen3 32b | qwen | ₽3.90/M | ₽11.69/M | ₽136 |
| Llama 3 (8B) | llama 3 8b | ₽5.46/M | ₽7.80/M | ₽148 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽3.90/M | ₽15.59/M | ₽156 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽3.90/M | ₽15.59/M | ₽156 |
| gpt 4.1 nano | openai | ₽3.90/M | ₽15.59/M | ₽156 |
| DeepSeek Chat (V3) | deepseek chat | ₽5.46/M | ₽10.91/M | ₽164 |
| deepseek v4 flash | deepseek | ₽5.46/M | ₽10.91/M | ₽164 |
| gemma 4 26b a4b it | ₽4.68/M | ₽15.59/M | ₽172 | |
| qwen 2.5 72b instruct | qwen | ₽5.07/M | ₽15.59/M | ₽179 |
| gemma 4 31b it | ₽5.46/M | ₽15.59/M | ₽187 | |
| llama 3.2 11b vision:free | meta llama | ₽7.80/M | ₽7.80/M | ₽195 |
| qwen3 235b a22b | qwen | ₽3.90/M | ₽23.39/M | ₽195 |
| gpt oss 120b | openai | ₽5.85/M | ₽23.39/M | ₽234 |
| GPT-4o Mini | gpt 4o mini | ₽5.85/M | ₽23.39/M | ₽234 |
| mistral small 2603 | mistral small 2603 | ₽5.85/M | ₽23.39/M | ₽234 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽7.80/M | ₽19.49/M | ₽253 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽7.80/M | ₽19.49/M | ₽253 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽7.80/M | ₽19.49/M | ₽253 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽7.80/M | ₽19.49/M | ₽253 |
| Mistral Saba 2502 | mistral saba 2502 | ₽7.80/M | ₽23.39/M | ₽273 |
| qwen3 235b a22b 2507 | qwen | ₽5.85/M | ₽33.13/M | ₽283 |
| deepseek v3.2 | deepseek | ₽10.52/M | ₽15.98/M | ₽290 |
| Qwq 32b | qwen | ₽11.30/M | ₽15.20/M | ₽302 |
| deepseek chat v3.1 | deepseek | ₽7.80/M | ₽31.18/M | ₽312 |
| Venice Uncensored | venice uncensored | ₽7.80/M | ₽35.08/M | ₽331 |
| Grok 3 Mini | grok 3 mini | ₽11.69/M | ₽19.49/M | ₽331 |
| minimax m2 | minimax | ₽7.80/M | ₽38.98/M | ₽351 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽5.46/M | ₽54.57/M | ₽382 |
| gpt 5.4 nano | openai | ₽7.80/M | ₽48.72/M | ₽400 |
| DeepSeek Chat v3.1 Terminus | deepseek chat v3.1 terminus | ₽10.52/M | ₽38.98/M | ₽405 |
| Codestral 2501 | codestral 2501 | ₽11.69/M | ₽35.08/M | ₽409 |
| Claude 3 Haiku | Anthropic | ₽9.74/M | ₽48.72/M | ₽439 |
| Grok Code Fast 1 | grok code fast 1 | ₽7.80/M | ₽58.47/M | ₽448 |
| minimax m2.1 | minimax | ₽11.69/M | ₽46.77/M | ₽468 |
| minimax m2.5 | minimax | ₽11.69/M | ₽46.77/M | ₽468 |
| minimax m2.7 | minimax | ₽11.69/M | ₽46.77/M | ₽468 |
| minimax m3 | minimax | ₽11.69/M | ₽46.77/M | ₽468 |
| qwen3 coder | qwen | ₽11.69/M | ₽46.77/M | ₽468 |
| gemini 3.1 flash image | ₽9.74/M | ₽58.47/M | ₽487 | |
| gemini 3.1 flash lite | ₽9.74/M | ₽58.47/M | ₽487 | |
| gemini 3.1 flash lite image | ₽9.74/M | ₽58.47/M | ₽487 | |
| WizardLM-2 8x22B | microsoft | ₽19.49/M | ₽19.49/M | ₽487 |
| deepseek v4 pro | deepseek | ₽16.96/M | ₽33.91/M | ₽509 |
| glm 4.5 | z ai | ₽13.64/M | ₽60.42/M | ₽575 |
| gpt 5.1 codex mini | openai | ₽9.74/M | ₽77.96/M | ₽585 |
| GPT-5 Mini | gpt 5 mini | ₽9.74/M | ₽77.96/M | ₽585 |
| Kimi K2 | kimi k2 | ₽5.46/M | ₽97.06/M | ₽594 |
| Llama 3.3 70B | llama 3.3 70b | ₽23.00/M | ₽30.79/M | ₽614 |
| gpt 4.1 mini | openai | ₽15.59/M | ₽62.37/M | ₽624 |
| qwen3.7 plus | qwen | ₽15.59/M | ₽62.37/M | ₽624 |
| llama 3.1 70b | llama 3.1 70b | ₽23.39/M | ₽31.18/M | ₽624 |
| Magistral Small 2509 | magistral small 2509 | ₽19.49/M | ₽58.47/M | ₽682 |
| mistral large 2512 | mistral large 2512 | ₽19.49/M | ₽58.47/M | ₽682 |
| Mistral Medium 2505 | mistral medium 2505 | ₽15.59/M | ₽77.96/M | ₽702 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽11.69/M | ₽97.45/M | ₽721 |
| gemini 2.5 flash image | ₽11.69/M | ₽97.45/M | ₽721 | |
| glm 4.6 | z ai | ₽19.49/M | ₽68.21/M | ₽731 |
| Llama 4 Scout 17b 16e Instruct | meta | ₽18.71/M | ₽74.84/M | ₽748 |
| LLama 3 (70B) | llama 3 70b | ₽32.74/M | ₽34.69/M | ₽828 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽21.44/M | ₽85.36/M | ₽856 |
| llama 4 maverick 17b 128e instruct | llama 4 maverick 17b 128e instruct | ₽21.44/M | ₽85.36/M | ₽856 |
| glm 4.7 | z ai | ₽23.39/M | ₽85.75/M | ₽897 |
| Gemini 3 Flash | gemini 3 flash | ₽19.49/M | ₽117/M | ₽974 |
| qwen3.5 397b a17b | qwen | ₽23.39/M | ₽101/M | ₽974 |
| Sonar | perplexity | ₽38.98/M | ₽38.98/M | ₽974 |
| minimax m1 | minimax | ₽31.18/M | ₽75.03/M | ₽999 |
| DeepSeek Prover V2 | DeepSeek Prover V2 | ₽27.28/M | ₽97.45/M | ₽1 033 |
| Kimi K2.5 | kimi k2.5 | ₽23.39/M | ₽117/M | ₽1 052 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽27.28/M | ₽109/M | ₽1 091 |
| GLM-5 | glm 5 | ₽31.18/M | ₽99.78/M | ₽1 123 |
| qwen3 coder plus | qwen | ₽38.98/M | ₽70.16/M | ₽1 130 |
| Nova Pro | amazon | ₽31.18/M | ₽125/M | ₽1 247 |
| glm 5 turbo | z ai | ₽37.42/M | ₽125/M | ₽1 372 |
| Claude 3.5 Haiku | Anthropic | ₽31.18/M | ₽156/M | ₽1 403 |
| gpt 5.4 mini | openai | ₽29.23/M | ₽175/M | ₽1 462 |
| kimi k2.6 | moonshotai | ₽37.03/M | ₽156/M | ₽1 520 |
| O3 Mini | o3 mini | ₽42.88/M | ₽172/M | ₽1 715 |
| O4 Mini | o4 mini | ₽42.88/M | ₽172/M | ₽1 715 |
| glm 5.1 | z ai | ₽48.72/M | ₽154/M | ₽1 746 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽38.98/M | ₽195/M | ₽1 754 |
| glm 5.2 | z ai | ₽54.57/M | ₽172/M | ₽1 949 |
| Qwen3 Max | qwen3 max | ₽46.77/M | ₽234/M | ₽2 105 |
| Codex Mini | codex mini | ₽58.47/M | ₽234/M | ₽2 339 |
| Qwen Max | qwen max | ₽62.37/M | ₽249/M | ₽2 495 |
| gemini 3.5 flash | ₽58.47/M | ₽312/M | ₽2 728 | |
| grok 4.20 | x ai | ₽77.96/M | ₽234/M | ₽2 728 |
| Mistral Large 2411 | mistral large 2411 | ₽77.96/M | ₽234/M | ₽2 728 |
| Pixtral Large 2411 | pixtral large 2411 | ₽77.96/M | ₽234/M | ₽2 728 |
| gpt 4o mini tts | openai | ₽23.39/M | ₽468/M | ₽2 806 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽48.72/M | ₽390/M | ₽2 923 |
| gpt 5 chat | openai | ₽48.72/M | ₽390/M | ₽2 923 |
| gpt 5 codex | openai | ₽48.72/M | ₽390/M | ₽2 923 |
| gpt 5.1 | openai | ₽48.72/M | ₽390/M | ₽2 923 |
| gpt 5.1 chat | openai | ₽48.72/M | ₽390/M | ₽2 923 |
| gpt 5.1 codex | openai | ₽48.72/M | ₽390/M | ₽2 923 |
| gpt 5.1 codex max | openai | ₽48.72/M | ₽390/M | ₽2 923 |
| GPT-5 | gpt 5 | ₽48.72/M | ₽390/M | ₽2 923 |
| Llama 3.1 405B | Llama 3.1 405B | ₽117/M | ₽117/M | ₽2 923 |
| gpt 4.1 | openai | ₽77.96/M | ₽312/M | ₽3 118 |
| O3 | o3 | ₽77.96/M | ₽312/M | ₽3 118 |
| sonar deep research | perplexity | ₽77.96/M | ₽312/M | ₽3 118 |
| sonar reasoning pro | perplexity | ₽77.96/M | ₽312/M | ₽3 118 |
| claude sonnet 5 | anthropic | ₽77.96/M | ₽390/M | ₽3 508 |
| Grok 2 Vision 1212 | grok 2 vision 1212 | ₽77.96/M | ₽390/M | ₽3 508 |
| gemini 3 pro image | ₽77.96/M | ₽468/M | ₽3 898 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽77.96/M | ₽468/M | ₽3 898 |
| Cohere Command A | cohere command a | ₽97.45/M | ₽390/M | ₽3 898 |
| GPT-4o | gpt 4o | ₽97.45/M | ₽390/M | ₽3 898 |
| gpt 5.2 | openai | ₽68.21/M | ₽546/M | ₽4 093 |
| gpt 5.2 chat | openai | ₽68.21/M | ₽546/M | ₽4 093 |
| gpt 5.2 codex | openai | ₽68.21/M | ₽546/M | ₽4 093 |
| gpt 5.3 chat | openai | ₽68.21/M | ₽546/M | ₽4 093 |
| gpt 5.3 codex | openai | ₽68.21/M | ₽546/M | ₽4 093 |
| O1 Mini | o1 mini | ₽117/M | ₽468/M | ₽4 677 |
| gpt 5.4 | openai | ₽97.45/M | ₽585/M | ₽4 872 |
| claude 3 5 sonnet | claude 3 5 sonnet | ₽117/M | ₽585/M | ₽5 262 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽117/M | ₽585/M | ₽5 262 |
| Claude Sonnet 4 | claude sonnet 4 | ₽117/M | ₽585/M | ₽5 262 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽117/M | ₽585/M | ₽5 262 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽117/M | ₽585/M | ₽5 262 |
| Grok 3 | grok 3 | ₽117/M | ₽585/M | ₽5 262 |
| sonar pro | perplexity | ₽117/M | ₽585/M | ₽5 262 |
| Grok 4 | grok 4 | ₽175/M | ₽877/M | ₽7 893 |
| Claude Opus 4.5 | claude opus 4 5 | ₽195/M | ₽974/M | ₽8 770 |
| Claude Opus 4.6 | claude opus 4 6 | ₽195/M | ₽974/M | ₽8 770 |
| gpt 5.5 | openai | ₽195/M | ₽1 169/M | ₽9 745 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽390/M | ₽1 169/M | ₽13 642 |
| gpt 4 turbo | openai | ₽390/M | ₽1 169/M | ₽13 642 |
| claude fable 5 | anthropic | ₽468/M | ₽2 339/M | ₽21 048 |
| O1 | o1 | ₽585/M | ₽2 339/M | ₽23 387 |
| Claude 3 Opus | claude 3 opus | ₽585/M | ₽2 923/M | ₽26 310 |
| Claude Opus 4 | claude opus 4 | ₽780/M | ₽3 898/M | ₽35 081 |
| gpt 4 | openai | ₽1 169/M | ₽2 339/M | ₽35 081 |
| gpt 5.2 pro | openai | ₽858/M | ₽6 548/M | ₽49 892 |
| gpt 5.4 pro | openai | ₽1 169/M | ₽7 016/M | ₽58 468 |
| gpt 5.5 pro | openai | ₽1 559/M | ₽7 796/M | ₽70 161 |
| Eleven English v1 | eleven_monolingual_v1 | ₽7 016/M | ₽7 016/M | ₽140 322 |
| Eleven Multilingual v1 | eleven_multilingual_v1 | ₽7 016/M | ₽7 016/M | ₽140 322 |
| Eleven Turbo v2 | eleven_turbo_v2 | ₽7 016/M | ₽7 016/M | ₽140 322 |
| Eleven v3 | eleven_v3 | ₽7 016/M | ₽7 016/M | ₽140 322 |
О провайдере
О сервисе
Naga — compact LLM aggregator с чистым public models API: все 231 модель включают per-token pricing без авторизации. Формат близок к OpenRouter inference catalogs. На AI-APISHKA — $/1M = per_*_token × 1,000,000.
Как сравнивать на AI-APISHKA
Прямое сравнение $/1M с OpenRouter, Requesty, ZenMux на overlap моделей (Claude, GPT, Gemini).
Частые вопросы
- Где цены Naga?
- GET https://api.naga.ac/v1/models → pricing.per_input_token, per_output_token, per_cached_input_token (USD per token).
- Naga vs OpenRouter?
- Меньше каталог (~231 vs 400+), но публичный pricing без ключа. Проверяйте overlap моделей для price comparison.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
Naga предлагает 162 моделей AI API. Средняя цена — ₽304/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽1.36/M (Open Mistral Nemo 2407).
Сравните цены на Llama 3.2 1B Preview , Llama 3.2 3B , Open Mistral Nemo 2407 , llama guard 4 12b и Nova Micro у других провайдеров или в каталоге агрегаторов . Данные обновлены 16.07.2026.