231 модель — OpenAI-compatible aggregator с публичным pricing API
- Моделей
- 200
- Средняя цена
- ₽128/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 = 83.76 ₽ · 1 CNY = 12.4991 ₽ · 16.10.2026
200 моделей
Текст и чат
оплата за токены · 199
▼
Текст и чат
оплата за токены · 199
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| llama 3.1 8b | Meta | ₽0.84/M | ₽1.68/M | ₽25 |
| ling 3.0 flash vl | ling 3.0 flash vl | ₽0.88/M | ₽2.58/M | ₽30 |
| Ling 3.0 Flash | ling 3.0 flash | ₽0.88/M | ₽2.64/M | ₽31 |
| gpt oss 20b | OpenAI | ₽0.75/M | ₽3.77/M | ₽34 |
| glm 5.3 flash | Z.ai | ₽1.68/M | ₽2.09/M | ₽44 |
| Nemotron 3.5 Lightning | NVIDIA | ₽1.05/M | ₽5.03/M | ₽46 |
| Open Mistral Nemo 2407 | open mistral nemo 2407 | ₽1.47/M | ₽3.35/M | ₽46 |
| deepseek v4 flash | DeepSeek | ₽0.58/M | ₽7.54/M | ₽49 |
| qwen3.7 flash | Qwen | ₽1.26/M | ₽5.44/M | ₽52 |
| deepseek v4.1 flash | DeepSeek | ₽1.26/M | ₽5.83/M | ₽54 |
| gpt oss 120b | OpenAI | ₽1.26/M | ₽6.28/M | ₽57 |
| Amazon Nova Micro | nova micro | ₽1.47/M | ₽5.86/M | ₽59 |
| Ling 3.0 Flash Fin | ling 3.0 flash fin | ₽1.76/M | ₽5.16/M | ₽61 |
| Ling 3.0 Flash Sante | ling 3.0 flash sante | ₽1.76/M | ₽5.16/M | ₽61 |
| Llama 3.2 1B Preview | Meta | ₽1.13/M | ₽8.42/M | ₽65 |
| Mercury 2.5 | mercury 2.5 | ₽1.68/M | ₽6.28/M | ₽65 |
| gemma 4 26b a4b it | ₽1.76/M | ₽8.79/M | ₽79 | |
| granite 4.2 8b | granite 4.2 8b | ₽2.51/M | ₽6.28/M | ₽82 |
| gemini 2.5 flash lite | ₽2.09/M | ₽8.38/M | ₽84 | |
| Phi 4 | Microsoft | ₽2.93/M | ₽5.86/M | ₽88 |
| MythoMax 13B | gryphe | ₽3.35/M | ₽4.61/M | ₽90 |
| gpt 6 luna | OpenAI | ₽2.09/M | ₽10.47/M | ₽94 |
| qwen3.5 9b | Qwen | ₽3.35/M | ₽5.44/M | ₽94 |
| Nova Lite | nova lite | ₽2.51/M | ₽10.05/M | ₽101 |
| gemma 3 27b it | ₽3.35/M | ₽6.70/M | ₽101 | |
| Llama 3.2 3B | Meta | ₽2.09/M | ₽13.82/M | ₽111 |
| gpt 5 nano | OpenAI | ₽2.09/M | ₽16.75/M | ₽126 |
| Qwen3 32B | Qwen | ₽3.35/M | ₽11.73/M | ₽126 |
| Qwen3 14B | Qwen | ₽4.19/M | ₽9.21/M | ₽130 |
| glm 4.7 flash | Z.ai | ₽2.51/M | ₽16.75/M | ₽134 |
| MiMo-V2.6-Flash | Xiaomi | ₽4.19/M | ₽11.73/M | ₽142 |
| gemma 4 31b it | ₽3.77/M | ₽14.24/M | ₽147 | |
| qwen3 235b a22b 2507 | Qwen | ₽3.66/M | ₽14.66/M | ₽147 |
| MiMo-V2.5 | Xiaomi | ₽4.98/M | ₽9.97/M | ₽150 |
| Llama 3.3 70B | Meta | ₽4.19/M | ₽13.40/M | ₽151 |
| Nemotron 3 Super | NVIDIA | ₽3.35/M | ₽16.75/M | ₽151 |
| Ministral 8B 2410 | ministral 8b 2410 | ₽6.28/M | ₽6.28/M | ₽157 |
| Dola-Seed 2.0 Mini | ByteDance | ₽4.19/M | ₽16.75/M | ₽168 |
| gpt 4.1 nano | OpenAI | ₽4.19/M | ₽16.75/M | ₽168 |
| glm 5.2 | Z.ai | ₽2.51/M | ₽25.13/M | ₽176 |
| claude haiku 5 5 | Anthropic | ₽4.19/M | ₽20.94/M | ₽188 |
| Llama Guard 4 12B | Meta | ₽7.54/M | ₽7.54/M | ₽188 |
| qwen3.6 35b a3b | Qwen | ₽2.09/M | ₽29.32/M | ₽188 |
| Qwen3 30B A3B | Qwen | ₽5.03/M | ₽20.94/M | ₽205 |
| gpt 5.6 luna | OpenAI | ₽4.19/M | ₽25.13/M | ₽209 |
| llama 3.2 11b vision:free | Meta | ₽8.38/M | ₽8.38/M | ₽209 |
| deepseek v4 pro | DeepSeek | ₽7.15/M | ₽14.30/M | ₽214 |
| gpt 5.4 nano | OpenAI | ₽4.19/M | ₽26.18/M | ₽215 |
| Hy3 | Tencent | ₽5.53/M | ₽22.11/M | ₽221 |
| Qwen3.5-35B-A3B | Qwen | ₽3.35/M | ₽31.41/M | ₽224 |
| qwen3.8 flash | Qwen | ₽6.28/M | ₽19.68/M | ₽224 |
| Qwen3.8 Omni Flash | Qwen | ₽6.28/M | ₽19.68/M | ₽224 |
| deepseek v3.2 | DeepSeek | ₽8.74/M | ₽12.97/M | ₽240 |
| gpt 4o mini | OpenAI | ₽6.28/M | ₽25.13/M | ₽251 |
| Mistral Small 2501 | Mistral | ₽6.28/M | ₽25.13/M | ₽251 |
| Mistral Small 2503 | Mistral | ₽6.28/M | ₽25.13/M | ₽251 |
| mistral small 2603 | Mistral | ₽6.28/M | ₽25.13/M | ₽251 |
| Mistral Small 3.2 | Mistral | ₽6.28/M | ₽25.13/M | ₽251 |
| gemini 3.1 flash lite | ₽5.24/M | ₽31.41/M | ₽262 | |
| glm 5.3 | Z.ai | ₽1.63/M | ₽46.07/M | ₽263 |
| qwen3 coder next | Qwen | ₽5.03/M | ₽33.50/M | ₽268 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽3.77/M | ₽46.07/M | ₽306 |
| deepseek v4 flash vision | DeepSeek | ₽9.03/M | ₽27.09/M | ₽316 |
| qwen3.8 27b | Qwen | ₽1.68/M | ₽56.54/M | ₽316 |
| minimax m2.7 | MiniMax | ₽8.79/M | ₽35.18/M | ₽352 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽8.38/M | ₽36.85/M | ₽352 |
| MiMo-V2.5-Pro | Xiaomi | ₽12.75/M | ₽25.50/M | ₽383 |
| qwen 2.5 72b instruct | Qwen | ₽15.08/M | ₽16.75/M | ₽385 |
| gemini 2.5 flash | ₽6.28/M | ₽52.35/M | ₽387 | |
| gemini 3.5 flash lite | ₽6.28/M | ₽52.35/M | ₽387 | |
| qwen3.6 flash | Qwen | ₽7.85/M | ₽47.12/M | ₽393 |
| minimax m3 | MiniMax | ₽9.63/M | ₽40.20/M | ₽394 |
| qwen3 coder | Qwen | ₽9.21/M | ₽41.88/M | ₽394 |
| deepseek chat | DeepSeek | ₽10.78/M | ₽37.27/M | ₽402 |
| deepseek chat v3.1 | DeepSeek | ₽10.47/M | ₽39.79/M | ₽408 |
| llama 3.1 70b | Meta | ₽16.75/M | ₽16.75/M | ₽419 |
| MiniMax M2.5 | MiniMax | ₽11.31/M | ₽39.79/M | ₽425 |
| MiniMax M2 | MiniMax | ₽10.68/M | ₽42.72/M | ₽427 |
| DeepSeek Chat v3.1 Terminus | DeepSeek | ₽11.31/M | ₽41.88/M | ₽436 |
| Codestral 2501 | Mistral | ₽12.56/M | ₽37.69/M | ₽440 |
| Qwen3.5-27B | Qwen | ₽8.17/M | ₽65.33/M | ₽490 |
| MiniMax M2.1 | MiniMax | ₽12.56/M | ₽50.26/M | ₽503 |
| Muse Glimmer 30B | Meta | ₽12.56/M | ₽50.26/M | ₽503 |
| gemini 3 flash | ₽10.47/M | ₽62.82/M | ₽524 | |
| gemini 3.1 flash lite image | ₽10.47/M | ₽62.82/M | ₽524 | |
| qwen3.7 plus | Qwen | ₽13.40/M | ₽53.61/M | ₽536 |
| MiMo-V2.6-Pro | Xiaomi | ₽18.01/M | ₽36.44/M | ₽542 |
| Command A | Cohere | ₽12.56/M | ₽62.82/M | ₽565 |
| GLM 5.3 FlashX | Z.ai | ₽15.50/M | ₽52.35/M | ₽572 |
| gpt 5 mini | OpenAI | ₽10.47/M | ₽83.76/M | ₽628 |
| GPT-5.1-Codex-Mini | OpenAI | ₽10.47/M | ₽83.76/M | ₽628 |
| qwen3.5 plus | qwen3.5 plus | ₽12.56/M | ₽75.38/M | ₽628 |
| WizardLM-2 8x22B | microsoft | ₽25.97/M | ₽25.97/M | ₽649 |
| Qwen3.5-122B-A10B | Qwen | ₽10.89/M | ₽87.11/M | ₽653 |
| qwen3.6 27b | Qwen | ₽12.15/M | ₽83.76/M | ₽662 |
| gpt 4.1 mini | OpenAI | ₽16.75/M | ₽67.01/M | ₽670 |
| Qwen3.6 Plus | Qwen | ₽13.61/M | ₽81.67/M | ₽681 |
| glm 4.7 | Z.ai | ₽16.75/M | ₽73.29/M | ₽701 |
| gemini 3.6 flash | ₽15.71/M | ₽78.53/M | ₽707 | |
| gemini 3.7 flash | ₽15.71/M | ₽78.53/M | ₽707 | |
| gemini 3.8 flash | ₽15.71/M | ₽78.53/M | ₽707 | |
| GLM 4.6 | Z.ai | ₽18.01/M | ₽73.29/M | ₽727 |
| mistral large 2512 | Mistral | ₽20.94/M | ₽62.82/M | ₽733 |
| kimi k2.6 | MoonshotAI | ₽18.18/M | ₽76.56/M | ₽746 |
| Mistral Medium 2505 | Mistral | ₽16.75/M | ₽83.76/M | ₽754 |
| gemini 2.5 flash image | ₽12.56/M | ₽105/M | ₽775 | |
| gpt 5.4 mini | OpenAI | ₽15.71/M | ₽94.23/M | ₽785 |
| MiniMax M1 | MiniMax | ₽16.75/M | ₽92.14/M | ₽796 |
| Llama 4 Scout 17b 16e Instruct | Meta | ₽20.10/M | ₽80.41/M | ₽804 |
| qwen3.5 397b a17b | Qwen | ₽16.33/M | ₽98.00/M | ₽817 |
| aion 3.5 mini | aion 3.5 mini | ₽29.32/M | ₽58.63/M | ₽879 |
| Nemotron 3 Ultra | NVIDIA | ₽20.94/M | ₽92.14/M | ₽879 |
| glm 5 | Z.ai | ₽25.13/M | ₽80.41/M | ₽905 |
| deepseek reasoner | DeepSeek | ₽23.03/M | ₽91.72/M | ₽919 |
| llama 4 maverick 17b 128e instruct | Meta | ₽23.03/M | ₽91.72/M | ₽919 |
| Kimi K2.5 | MoonshotAI | ₽20.52/M | ₽105/M | ₽934 |
| seed 2.1 turbo | seed 2.1 turbo | ₽20.94/M | ₽105/M | ₽942 |
| Kimi K2 0711 | MoonshotAI | ₽23.87/M | ₽96.32/M | ₽959 |
| GLM 4.5 | Z.ai | ₽25.13/M | ₽92.14/M | ₽963 |
| Mistral Large 4.0 | Mistral | ₽28.48/M | ₽87.53/M | ₽1 007 |
| Seed-2.0-code | ByteDance | ₽20.94/M | ₽126/M | ₽1 047 |
| Sonar | perplexity | ₽41.88/M | ₽41.88/M | ₽1 047 |
| qwen3 235b a22b | Qwen | ₽18.85/M | ₽147/M | ₽1 110 |
| kimi k2.7 code | MoonshotAI | ₽28.11/M | ₽126/M | ₽1 190 |
| Hy4 preview | Tencent | ₽34.93/M | ₽105/M | ₽1 222 |
| Nova Pro | nova pro | ₽33.50/M | ₽134/M | ₽1 340 |
| glm 5.1 | Z.ai | ₽40.46/M | ₽127/M | ₽1 445 |
| Qwen3 Max | Qwen | ₽32.67/M | ₽163/M | ₽1 470 |
| gemini 2.5 pro | ₽26.18/M | ₽209/M | ₽1 571 | |
| gemini 3.5 flash | ₽31.41/M | ₽188/M | ₽1 571 | |
| grok 4.20 | xAI | ₽52.35/M | ₽105/M | ₽1 571 |
| grok 4.3 | xAI | ₽52.35/M | ₽105/M | ₽1 571 |
| glm 5 turbo | Z.ai | ₽50.26/M | ₽168/M | ₽1 843 |
| GLM 5V Turbo | Z.ai | ₽50.26/M | ₽168/M | ₽1 843 |
| o3 mini | OpenAI | ₽46.07/M | ₽184/M | ₽1 843 |
| o4 mini | OpenAI | ₽46.07/M | ₽184/M | ₽1 843 |
| claude haiku 4.5 | Anthropic | ₽41.88/M | ₽209/M | ₽1 885 |
| gpt 5.6 sol | OpenAI | ₽41.88/M | ₽209/M | ₽1 885 |
| gpt 6 sol | OpenAI | ₽41.88/M | ₽209/M | ₽1 885 |
| gpt 6.1 sol | OpenAI | ₽41.88/M | ₽209/M | ₽1 885 |
| Gemini 3.1 Pro | ₽41.88/M | ₽251/M | ₽2 094 | |
| gpt 5.6 terra | OpenAI | ₽41.88/M | ₽251/M | ₽2 094 |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽41.88/M | ₽251/M | ₽2 094 | |
| qwen3.7 max | Qwen | ₽61.77/M | ₽185/M | ₽2 162 |
| gpt 5.4 | OpenAI | ₽52.35/M | ₽314/M | ₽2 618 |
| Qwen-Max | Qwen | ₽67.01/M | ₽268/M | ₽2 680 |
| kimi k3 | MoonshotAI | ₽31.41/M | ₽419/M | ₽2 722 |
| Nano Banana 2.1 | ₽62.82/M | ₽314/M | ₽2 827 | |
| grok 4.5 | xAI | ₽83.76/M | ₽251/M | ₽2 932 |
| grok 4.6 | xAI | ₽83.76/M | ₽251/M | ₽2 932 |
| grok 4.7 | xAI | ₽83.76/M | ₽251/M | ₽2 932 |
| Qwen3.8 2.4T A95B | Qwen | ₽83.76/M | ₽251/M | ₽2 932 |
| qwen3.8 max | Qwen | ₽83.76/M | ₽251/M | ₽2 932 |
| gpt 4o mini tts | OpenAI | ₽25.13/M | ₽503/M | ₽3 015 |
| gpt 5 | OpenAI | ₽52.35/M | ₽419/M | ₽3 141 |
| gpt 5.1 | OpenAI | ₽52.35/M | ₽419/M | ₽3 141 |
| GPT-5.1-Codex | OpenAI | ₽52.35/M | ₽419/M | ₽3 141 |
| GPT-5.1-Codex-Max | OpenAI | ₽52.35/M | ₽419/M | ₽3 141 |
| Llama 3.1 405B | Meta | ₽126/M | ₽126/M | ₽3 141 |
| gpt 4.1 | OpenAI | ₽83.76/M | ₽335/M | ₽3 350 |
| O3 | OpenAI | ₽83.76/M | ₽335/M | ₽3 350 |
| sonar deep research | perplexity | ₽83.76/M | ₽335/M | ₽3 350 |
| sonar reasoning pro | perplexity | ₽83.76/M | ₽335/M | ₽3 350 |
| aion 3.5 | aion 3.5 | ₽126/M | ₽251/M | ₽3 769 |
| claude sonnet 5 | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| Claude Sonnet 5.5 | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| GLM 5.3 Prime | Z.ai | ₽117/M | ₽369/M | ₽4 188 |
| gpt 4o | OpenAI | ₽105/M | ₽419/M | ₽4 188 |
| gpt 5.2 | OpenAI | ₽73.29/M | ₽586/M | ₽4 397 |
| gpt 5.3 codex | OpenAI | ₽73.29/M | ₽586/M | ₽4 397 |
| GPT-5.2-Codex | OpenAI | ₽73.29/M | ₽586/M | ₽4 397 |
| gpt 5.5 | OpenAI | ₽105/M | ₽628/M | ₽5 235 |
| MiMo-V2.6-Pro-UltraSpeed | Xiaomi | ₽182/M | ₽364/M | ₽5 465 |
| Claude Sonnet 4 | Anthropic | ₽126/M | ₽628/M | ₽5 654 |
| claude sonnet 4.5 | Anthropic | ₽126/M | ₽628/M | ₽5 654 |
| claude sonnet 4.6 | Anthropic | ₽126/M | ₽628/M | ₽5 654 |
| Ember-1 | Fireworks | ₽126/M | ₽628/M | ₽5 654 |
| sonar pro | perplexity | ₽126/M | ₽628/M | ₽5 654 |
| claude opus 5.5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| claude opus 4.5 | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| claude opus 4.6 | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| claude opus 4.7 | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| claude opus 4.8 | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| claude opus 5 | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| gpt 6 astra | OpenAI | ₽209/M | ₽1 047/M | ₽9 423 |
| gpt 4 turbo | OpenAI | ₽419/M | ₽1 256/M | ₽14 658 |
| Eleven Flash V2 | eleven_flash_v2 | ₽838/M | ₽838/M | ₽16 752 |
| Eleven Turbo V2 | eleven_turbo_v2 | ₽838/M | ₽838/M | ₽16 752 |
| eleven-flash-v2.5 | eleven_flash_v2_5 | ₽838/M | ₽838/M | ₽16 752 |
| claude fable 5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude fable 5.1 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| o1 | OpenAI | ₽628/M | ₽2 513/M | ₽25 128 |
| Claude Opus 4 | Anthropic | ₽628/M | ₽3 141/M | ₽28 269 |
| gpt 5.4 pro | OpenAI | ₽628/M | ₽3 769/M | ₽31 410 |
| gpt 5.5 pro | OpenAI | ₽628/M | ₽3 769/M | ₽31 410 |
| Eleven Multilingual V2 | eleven_multilingual_v2 | ₽1 675/M | ₽1 675/M | ₽33 504 |
| Eleven V3 | eleven_v3 | ₽1 675/M | ₽1 675/M | ₽33 504 |
| gpt 4 | OpenAI | ₽1 256/M | ₽2 513/M | ₽37 692 |
| GPT-5.2 Pro | OpenAI | ₽921/M | ₽7 036/M | ₽53 606 |
Текст и чат
оплата за токены · 199
▼
Текст и чат
оплата за токены · 199
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| llama 3.1 8b | Meta | ₽0.84/M | ₽1.68/M | ₽25 |
| ling 3.0 flash vl | ling 3.0 flash vl | ₽0.88/M | ₽2.58/M | ₽30 |
| Ling 3.0 Flash | ling 3.0 flash | ₽0.88/M | ₽2.64/M | ₽31 |
| gpt oss 20b | OpenAI | ₽0.75/M | ₽3.77/M | ₽34 |
| glm 5.3 flash | Z.ai | ₽1.68/M | ₽2.09/M | ₽44 |
| Nemotron 3.5 Lightning | NVIDIA | ₽1.05/M | ₽5.03/M | ₽46 |
| Open Mistral Nemo 2407 | open mistral nemo 2407 | ₽1.47/M | ₽3.35/M | ₽46 |
| deepseek v4 flash | DeepSeek | ₽0.58/M | ₽7.54/M | ₽49 |
| qwen3.7 flash | Qwen | ₽1.26/M | ₽5.44/M | ₽52 |
| deepseek v4.1 flash | DeepSeek | ₽1.26/M | ₽5.83/M | ₽54 |
| gpt oss 120b | OpenAI | ₽1.26/M | ₽6.28/M | ₽57 |
| Amazon Nova Micro | nova micro | ₽1.47/M | ₽5.86/M | ₽59 |
| Ling 3.0 Flash Fin | ling 3.0 flash fin | ₽1.76/M | ₽5.16/M | ₽61 |
| Ling 3.0 Flash Sante | ling 3.0 flash sante | ₽1.76/M | ₽5.16/M | ₽61 |
| Llama 3.2 1B Preview | Meta | ₽1.13/M | ₽8.42/M | ₽65 |
| Mercury 2.5 | mercury 2.5 | ₽1.68/M | ₽6.28/M | ₽65 |
| gemma 4 26b a4b it | ₽1.76/M | ₽8.79/M | ₽79 | |
| granite 4.2 8b | granite 4.2 8b | ₽2.51/M | ₽6.28/M | ₽82 |
| gemini 2.5 flash lite | ₽2.09/M | ₽8.38/M | ₽84 | |
| Phi 4 | Microsoft | ₽2.93/M | ₽5.86/M | ₽88 |
| MythoMax 13B | gryphe | ₽3.35/M | ₽4.61/M | ₽90 |
| gpt 6 luna | OpenAI | ₽2.09/M | ₽10.47/M | ₽94 |
| qwen3.5 9b | Qwen | ₽3.35/M | ₽5.44/M | ₽94 |
| Nova Lite | nova lite | ₽2.51/M | ₽10.05/M | ₽101 |
| gemma 3 27b it | ₽3.35/M | ₽6.70/M | ₽101 | |
| Llama 3.2 3B | Meta | ₽2.09/M | ₽13.82/M | ₽111 |
| gpt 5 nano | OpenAI | ₽2.09/M | ₽16.75/M | ₽126 |
| Qwen3 32B | Qwen | ₽3.35/M | ₽11.73/M | ₽126 |
| Qwen3 14B | Qwen | ₽4.19/M | ₽9.21/M | ₽130 |
| glm 4.7 flash | Z.ai | ₽2.51/M | ₽16.75/M | ₽134 |
| MiMo-V2.6-Flash | Xiaomi | ₽4.19/M | ₽11.73/M | ₽142 |
| gemma 4 31b it | ₽3.77/M | ₽14.24/M | ₽147 | |
| qwen3 235b a22b 2507 | Qwen | ₽3.66/M | ₽14.66/M | ₽147 |
| MiMo-V2.5 | Xiaomi | ₽4.98/M | ₽9.97/M | ₽150 |
| Llama 3.3 70B | Meta | ₽4.19/M | ₽13.40/M | ₽151 |
| Nemotron 3 Super | NVIDIA | ₽3.35/M | ₽16.75/M | ₽151 |
| Ministral 8B 2410 | ministral 8b 2410 | ₽6.28/M | ₽6.28/M | ₽157 |
| Dola-Seed 2.0 Mini | ByteDance | ₽4.19/M | ₽16.75/M | ₽168 |
| gpt 4.1 nano | OpenAI | ₽4.19/M | ₽16.75/M | ₽168 |
| glm 5.2 | Z.ai | ₽2.51/M | ₽25.13/M | ₽176 |
| claude haiku 5 5 | Anthropic | ₽4.19/M | ₽20.94/M | ₽188 |
| Llama Guard 4 12B | Meta | ₽7.54/M | ₽7.54/M | ₽188 |
| qwen3.6 35b a3b | Qwen | ₽2.09/M | ₽29.32/M | ₽188 |
| Qwen3 30B A3B | Qwen | ₽5.03/M | ₽20.94/M | ₽205 |
| gpt 5.6 luna | OpenAI | ₽4.19/M | ₽25.13/M | ₽209 |
| llama 3.2 11b vision:free | Meta | ₽8.38/M | ₽8.38/M | ₽209 |
| deepseek v4 pro | DeepSeek | ₽7.15/M | ₽14.30/M | ₽214 |
| gpt 5.4 nano | OpenAI | ₽4.19/M | ₽26.18/M | ₽215 |
| Hy3 | Tencent | ₽5.53/M | ₽22.11/M | ₽221 |
| Qwen3.5-35B-A3B | Qwen | ₽3.35/M | ₽31.41/M | ₽224 |
| qwen3.8 flash | Qwen | ₽6.28/M | ₽19.68/M | ₽224 |
| Qwen3.8 Omni Flash | Qwen | ₽6.28/M | ₽19.68/M | ₽224 |
| deepseek v3.2 | DeepSeek | ₽8.74/M | ₽12.97/M | ₽240 |
| gpt 4o mini | OpenAI | ₽6.28/M | ₽25.13/M | ₽251 |
| Mistral Small 2501 | Mistral | ₽6.28/M | ₽25.13/M | ₽251 |
| Mistral Small 2503 | Mistral | ₽6.28/M | ₽25.13/M | ₽251 |
| mistral small 2603 | Mistral | ₽6.28/M | ₽25.13/M | ₽251 |
| Mistral Small 3.2 | Mistral | ₽6.28/M | ₽25.13/M | ₽251 |
| gemini 3.1 flash lite | ₽5.24/M | ₽31.41/M | ₽262 | |
| glm 5.3 | Z.ai | ₽1.63/M | ₽46.07/M | ₽263 |
| qwen3 coder next | Qwen | ₽5.03/M | ₽33.50/M | ₽268 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽3.77/M | ₽46.07/M | ₽306 |
| deepseek v4 flash vision | DeepSeek | ₽9.03/M | ₽27.09/M | ₽316 |
| qwen3.8 27b | Qwen | ₽1.68/M | ₽56.54/M | ₽316 |
| minimax m2.7 | MiniMax | ₽8.79/M | ₽35.18/M | ₽352 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽8.38/M | ₽36.85/M | ₽352 |
| MiMo-V2.5-Pro | Xiaomi | ₽12.75/M | ₽25.50/M | ₽383 |
| qwen 2.5 72b instruct | Qwen | ₽15.08/M | ₽16.75/M | ₽385 |
| gemini 2.5 flash | ₽6.28/M | ₽52.35/M | ₽387 | |
| gemini 3.5 flash lite | ₽6.28/M | ₽52.35/M | ₽387 | |
| qwen3.6 flash | Qwen | ₽7.85/M | ₽47.12/M | ₽393 |
| minimax m3 | MiniMax | ₽9.63/M | ₽40.20/M | ₽394 |
| qwen3 coder | Qwen | ₽9.21/M | ₽41.88/M | ₽394 |
| deepseek chat | DeepSeek | ₽10.78/M | ₽37.27/M | ₽402 |
| deepseek chat v3.1 | DeepSeek | ₽10.47/M | ₽39.79/M | ₽408 |
| llama 3.1 70b | Meta | ₽16.75/M | ₽16.75/M | ₽419 |
| MiniMax M2.5 | MiniMax | ₽11.31/M | ₽39.79/M | ₽425 |
| MiniMax M2 | MiniMax | ₽10.68/M | ₽42.72/M | ₽427 |
| DeepSeek Chat v3.1 Terminus | DeepSeek | ₽11.31/M | ₽41.88/M | ₽436 |
| Codestral 2501 | Mistral | ₽12.56/M | ₽37.69/M | ₽440 |
| Qwen3.5-27B | Qwen | ₽8.17/M | ₽65.33/M | ₽490 |
| MiniMax M2.1 | MiniMax | ₽12.56/M | ₽50.26/M | ₽503 |
| Muse Glimmer 30B | Meta | ₽12.56/M | ₽50.26/M | ₽503 |
| gemini 3 flash | ₽10.47/M | ₽62.82/M | ₽524 | |
| gemini 3.1 flash lite image | ₽10.47/M | ₽62.82/M | ₽524 | |
| qwen3.7 plus | Qwen | ₽13.40/M | ₽53.61/M | ₽536 |
| MiMo-V2.6-Pro | Xiaomi | ₽18.01/M | ₽36.44/M | ₽542 |
| Command A | Cohere | ₽12.56/M | ₽62.82/M | ₽565 |
| GLM 5.3 FlashX | Z.ai | ₽15.50/M | ₽52.35/M | ₽572 |
| gpt 5 mini | OpenAI | ₽10.47/M | ₽83.76/M | ₽628 |
| GPT-5.1-Codex-Mini | OpenAI | ₽10.47/M | ₽83.76/M | ₽628 |
| qwen3.5 plus | qwen3.5 plus | ₽12.56/M | ₽75.38/M | ₽628 |
| WizardLM-2 8x22B | microsoft | ₽25.97/M | ₽25.97/M | ₽649 |
| Qwen3.5-122B-A10B | Qwen | ₽10.89/M | ₽87.11/M | ₽653 |
| qwen3.6 27b | Qwen | ₽12.15/M | ₽83.76/M | ₽662 |
| gpt 4.1 mini | OpenAI | ₽16.75/M | ₽67.01/M | ₽670 |
| Qwen3.6 Plus | Qwen | ₽13.61/M | ₽81.67/M | ₽681 |
| glm 4.7 | Z.ai | ₽16.75/M | ₽73.29/M | ₽701 |
| gemini 3.6 flash | ₽15.71/M | ₽78.53/M | ₽707 | |
| gemini 3.7 flash | ₽15.71/M | ₽78.53/M | ₽707 | |
| gemini 3.8 flash | ₽15.71/M | ₽78.53/M | ₽707 | |
| GLM 4.6 | Z.ai | ₽18.01/M | ₽73.29/M | ₽727 |
| mistral large 2512 | Mistral | ₽20.94/M | ₽62.82/M | ₽733 |
| kimi k2.6 | MoonshotAI | ₽18.18/M | ₽76.56/M | ₽746 |
| Mistral Medium 2505 | Mistral | ₽16.75/M | ₽83.76/M | ₽754 |
| gemini 2.5 flash image | ₽12.56/M | ₽105/M | ₽775 | |
| gpt 5.4 mini | OpenAI | ₽15.71/M | ₽94.23/M | ₽785 |
| MiniMax M1 | MiniMax | ₽16.75/M | ₽92.14/M | ₽796 |
| Llama 4 Scout 17b 16e Instruct | Meta | ₽20.10/M | ₽80.41/M | ₽804 |
| qwen3.5 397b a17b | Qwen | ₽16.33/M | ₽98.00/M | ₽817 |
| aion 3.5 mini | aion 3.5 mini | ₽29.32/M | ₽58.63/M | ₽879 |
| Nemotron 3 Ultra | NVIDIA | ₽20.94/M | ₽92.14/M | ₽879 |
| glm 5 | Z.ai | ₽25.13/M | ₽80.41/M | ₽905 |
| deepseek reasoner | DeepSeek | ₽23.03/M | ₽91.72/M | ₽919 |
| llama 4 maverick 17b 128e instruct | Meta | ₽23.03/M | ₽91.72/M | ₽919 |
| Kimi K2.5 | MoonshotAI | ₽20.52/M | ₽105/M | ₽934 |
| seed 2.1 turbo | seed 2.1 turbo | ₽20.94/M | ₽105/M | ₽942 |
| Kimi K2 0711 | MoonshotAI | ₽23.87/M | ₽96.32/M | ₽959 |
| GLM 4.5 | Z.ai | ₽25.13/M | ₽92.14/M | ₽963 |
| Mistral Large 4.0 | Mistral | ₽28.48/M | ₽87.53/M | ₽1 007 |
| Seed-2.0-code | ByteDance | ₽20.94/M | ₽126/M | ₽1 047 |
| Sonar | perplexity | ₽41.88/M | ₽41.88/M | ₽1 047 |
| qwen3 235b a22b | Qwen | ₽18.85/M | ₽147/M | ₽1 110 |
| kimi k2.7 code | MoonshotAI | ₽28.11/M | ₽126/M | ₽1 190 |
| Hy4 preview | Tencent | ₽34.93/M | ₽105/M | ₽1 222 |
| Nova Pro | nova pro | ₽33.50/M | ₽134/M | ₽1 340 |
| glm 5.1 | Z.ai | ₽40.46/M | ₽127/M | ₽1 445 |
| Qwen3 Max | Qwen | ₽32.67/M | ₽163/M | ₽1 470 |
| gemini 2.5 pro | ₽26.18/M | ₽209/M | ₽1 571 | |
| gemini 3.5 flash | ₽31.41/M | ₽188/M | ₽1 571 | |
| grok 4.20 | xAI | ₽52.35/M | ₽105/M | ₽1 571 |
| grok 4.3 | xAI | ₽52.35/M | ₽105/M | ₽1 571 |
| glm 5 turbo | Z.ai | ₽50.26/M | ₽168/M | ₽1 843 |
| GLM 5V Turbo | Z.ai | ₽50.26/M | ₽168/M | ₽1 843 |
| o3 mini | OpenAI | ₽46.07/M | ₽184/M | ₽1 843 |
| o4 mini | OpenAI | ₽46.07/M | ₽184/M | ₽1 843 |
| claude haiku 4.5 | Anthropic | ₽41.88/M | ₽209/M | ₽1 885 |
| gpt 5.6 sol | OpenAI | ₽41.88/M | ₽209/M | ₽1 885 |
| gpt 6 sol | OpenAI | ₽41.88/M | ₽209/M | ₽1 885 |
| gpt 6.1 sol | OpenAI | ₽41.88/M | ₽209/M | ₽1 885 |
| Gemini 3.1 Pro | ₽41.88/M | ₽251/M | ₽2 094 | |
| gpt 5.6 terra | OpenAI | ₽41.88/M | ₽251/M | ₽2 094 |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽41.88/M | ₽251/M | ₽2 094 | |
| qwen3.7 max | Qwen | ₽61.77/M | ₽185/M | ₽2 162 |
| gpt 5.4 | OpenAI | ₽52.35/M | ₽314/M | ₽2 618 |
| Qwen-Max | Qwen | ₽67.01/M | ₽268/M | ₽2 680 |
| kimi k3 | MoonshotAI | ₽31.41/M | ₽419/M | ₽2 722 |
| Nano Banana 2.1 | ₽62.82/M | ₽314/M | ₽2 827 | |
| grok 4.5 | xAI | ₽83.76/M | ₽251/M | ₽2 932 |
| grok 4.6 | xAI | ₽83.76/M | ₽251/M | ₽2 932 |
| grok 4.7 | xAI | ₽83.76/M | ₽251/M | ₽2 932 |
| Qwen3.8 2.4T A95B | Qwen | ₽83.76/M | ₽251/M | ₽2 932 |
| qwen3.8 max | Qwen | ₽83.76/M | ₽251/M | ₽2 932 |
| gpt 4o mini tts | OpenAI | ₽25.13/M | ₽503/M | ₽3 015 |
| gpt 5 | OpenAI | ₽52.35/M | ₽419/M | ₽3 141 |
| gpt 5.1 | OpenAI | ₽52.35/M | ₽419/M | ₽3 141 |
| GPT-5.1-Codex | OpenAI | ₽52.35/M | ₽419/M | ₽3 141 |
| GPT-5.1-Codex-Max | OpenAI | ₽52.35/M | ₽419/M | ₽3 141 |
| Llama 3.1 405B | Meta | ₽126/M | ₽126/M | ₽3 141 |
| gpt 4.1 | OpenAI | ₽83.76/M | ₽335/M | ₽3 350 |
| O3 | OpenAI | ₽83.76/M | ₽335/M | ₽3 350 |
| sonar deep research | perplexity | ₽83.76/M | ₽335/M | ₽3 350 |
| sonar reasoning pro | perplexity | ₽83.76/M | ₽335/M | ₽3 350 |
| aion 3.5 | aion 3.5 | ₽126/M | ₽251/M | ₽3 769 |
| claude sonnet 5 | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| Claude Sonnet 5.5 | Anthropic | ₽83.76/M | ₽419/M | ₽3 769 |
| GLM 5.3 Prime | Z.ai | ₽117/M | ₽369/M | ₽4 188 |
| gpt 4o | OpenAI | ₽105/M | ₽419/M | ₽4 188 |
| gpt 5.2 | OpenAI | ₽73.29/M | ₽586/M | ₽4 397 |
| gpt 5.3 codex | OpenAI | ₽73.29/M | ₽586/M | ₽4 397 |
| GPT-5.2-Codex | OpenAI | ₽73.29/M | ₽586/M | ₽4 397 |
| gpt 5.5 | OpenAI | ₽105/M | ₽628/M | ₽5 235 |
| MiMo-V2.6-Pro-UltraSpeed | Xiaomi | ₽182/M | ₽364/M | ₽5 465 |
| Claude Sonnet 4 | Anthropic | ₽126/M | ₽628/M | ₽5 654 |
| claude sonnet 4.5 | Anthropic | ₽126/M | ₽628/M | ₽5 654 |
| claude sonnet 4.6 | Anthropic | ₽126/M | ₽628/M | ₽5 654 |
| Ember-1 | Fireworks | ₽126/M | ₽628/M | ₽5 654 |
| sonar pro | perplexity | ₽126/M | ₽628/M | ₽5 654 |
| claude opus 5.5 | Anthropic | ₽168/M | ₽838/M | ₽7 538 |
| claude opus 4.5 | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| claude opus 4.6 | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| claude opus 4.7 | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| claude opus 4.8 | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| claude opus 5 | Anthropic | ₽209/M | ₽1 047/M | ₽9 423 |
| gpt 6 astra | OpenAI | ₽209/M | ₽1 047/M | ₽9 423 |
| gpt 4 turbo | OpenAI | ₽419/M | ₽1 256/M | ₽14 658 |
| Eleven Flash V2 | eleven_flash_v2 | ₽838/M | ₽838/M | ₽16 752 |
| Eleven Turbo V2 | eleven_turbo_v2 | ₽838/M | ₽838/M | ₽16 752 |
| eleven-flash-v2.5 | eleven_flash_v2_5 | ₽838/M | ₽838/M | ₽16 752 |
| claude fable 5 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| claude fable 5.1 | Anthropic | ₽419/M | ₽2 094/M | ₽18 846 |
| o1 | OpenAI | ₽628/M | ₽2 513/M | ₽25 128 |
| Claude Opus 4 | Anthropic | ₽628/M | ₽3 141/M | ₽28 269 |
| gpt 5.4 pro | OpenAI | ₽628/M | ₽3 769/M | ₽31 410 |
| gpt 5.5 pro | OpenAI | ₽628/M | ₽3 769/M | ₽31 410 |
| Eleven Multilingual V2 | eleven_multilingual_v2 | ₽1 675/M | ₽1 675/M | ₽33 504 |
| Eleven V3 | eleven_v3 | ₽1 675/M | ₽1 675/M | ₽33 504 |
| gpt 4 | OpenAI | ₽1 256/M | ₽2 513/M | ₽37 692 |
| GPT-5.2 Pro | OpenAI | ₽921/M | ₽7 036/M | ₽53 606 |
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 200 моделей AI API. Средняя цена — ₽128/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.58/M (deepseek v4 flash).
Сравните цены на llama 3.1 8b , ling 3.0 flash vl , Ling 3.0 Flash , gpt oss 20b и glm 5.3 flash у других провайдеров или в каталоге агрегаторов . Данные обновлены 15.10.2026.