231 модель — OpenAI-compatible aggregator с публичным pricing API
- Моделей
- 190
- Средняя цена
- ₽281/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 = 85.6007 ₽ · 1 CNY = 12.7335 ₽ · 29.08.2026
189 моделей
Текст и чат
оплата за токены · 189
▼
Текст и чат
оплата за токены · 189
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Ling-3.0-flash | inclusionai | ₽0.90/M | ₽2.70/M | ₽31 |
| Open Mistral Nemo 2407 | open mistral nemo 2407 | ₽1.50/M | ₽3.42/M | ₽47 |
| gpt oss 20b | openai | ₽1.28/M | ₽5.56/M | ₽54 |
| qwen3.7 flash | qwen | ₽1.28/M | ₽5.56/M | ₽54 |
| Amazon Nova Micro | nova micro | ₽1.50/M | ₽5.99/M | ₽60 |
| llama 3.1 8b | llama 3.1 8b | ₽2.14/M | ₽3.42/M | ₽60 |
| Mythomax L2 13B | Gryphe | ₽2.57/M | ₽2.57/M | ₽64 |
| Llama 3.2 1B Preview | meta llama | ₽1.16/M | ₽8.60/M | ₽66 |
| gpt oss 120b | openai | ₽1.58/M | ₽7.28/M | ₽68 |
| Qwen Turbo | qwen turbo | ₽2.14/M | ₽8.56/M | ₽86 |
| Phi 4 | Microsoft | ₽3.00/M | ₽5.99/M | ₽90 |
| deepseek v4 flash | deepseek | ₽3.40/M | ₽6.81/M | ₽102 |
| Nova Lite | amazon | ₽2.57/M | ₽10.27/M | ₽103 |
| Nemotron 3.5 Lightning | NVIDIA | ₽3.42/M | ₽8.56/M | ₽111 |
| Llama 3.2 3B | llama 3.2 3b | ₽2.14/M | ₽14.12/M | ₽113 |
| qwen3.5 9b | qwen | ₽4.28/M | ₽6.42/M | ₽118 |
| glm 5.3 flash | z ai | ₽3.21/M | ₽10.70/M | ₽118 |
| Ministral 8B 2410 | ministral 8b 2410 | ₽4.71/M | ₽4.71/M | ₽118 |
| GPT-5 Nano | gpt 5 nano | ₽2.14/M | ₽17.12/M | ₽128 |
| qwen3 32b | qwen | ₽3.42/M | ₽11.98/M | ₽128 |
| gemma 4 26b a4b it | ₽3.00/M | ₽14.55/M | ₽133 | |
| glm 4.7 flash | z ai | ₽2.57/M | ₽17.12/M | ₽137 |
| gemma 4 31b it | ₽3.85/M | ₽14.55/M | ₽150 | |
| mimo v2 flash | xiaomi | ₽4.28/M | ₽12.84/M | ₽150 |
| qwen3 235b a22b 2507 | qwen | ₽3.75/M | ₽14.98/M | ₽150 |
| qwen3 14b | qwen | ₽5.14/M | ₽10.27/M | ₽154 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽3.64/M | ₽17.12/M | ₽158 |
| llama 3 8b | llama 3 8b | ₽5.99/M | ₽8.56/M | ₽163 |
| gemma 3 27b it | ₽3.42/M | ₽19.26/M | ₽165 | |
| Dola-Seed 2.0 Mini | bytedance | ₽4.28/M | ₽17.12/M | ₽171 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽4.28/M | ₽17.12/M | ₽171 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽4.28/M | ₽17.12/M | ₽171 |
| gpt 4.1 nano | openai | ₽4.28/M | ₽17.12/M | ₽171 |
| mimo v2.5 | mimo v2.5 | ₽5.99/M | ₽11.98/M | ₽180 |
| llama guard 4 12b | meta llama | ₽7.70/M | ₽7.70/M | ₽193 |
| qwen3 30b a3b | qwen | ₽5.14/M | ₽21.40/M | ₽210 |
| llama 3.2 11b vision:free | meta llama | ₽8.56/M | ₽8.56/M | ₽214 |
| Hy3 | hy3 | ₽5.65/M | ₽22.60/M | ₽226 |
| qwen3.8 flash | qwen | ₽6.42/M | ₽20.12/M | ₽229 |
| GPT-4o Mini | gpt 4o mini | ₽6.42/M | ₽25.68/M | ₽257 |
| Mistral Small 2501 | mistral small 2501 | ₽6.42/M | ₽25.68/M | ₽257 |
| Mistral Small 2503 | mistral small 2503 | ₽6.42/M | ₽25.68/M | ₽257 |
| mistral small 2603 | mistral small 2603 | ₽6.42/M | ₽25.68/M | ₽257 |
| Mistral Small 3.2 | mistral small 2506 | ₽6.42/M | ₽25.68/M | ₽257 |
| qwen3 coder next | qwen | ₽5.14/M | ₽34.24/M | ₽274 |
| deepseek v3.2 | deepseek | ₽11.13/M | ₽16.26/M | ₽304 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽4.28/M | ₽47.08/M | ₽321 |
| Qwq 32b | qwen | ₽12.41/M | ₽16.69/M | ₽332 |
| qwen3.6 35b a3b | qwen | ₽5.99/M | ₽42.80/M | ₽334 |
| qwen 2.5 72b instruct | qwen | ₽15.41/M | ₽17.12/M | ₽394 |
| qwen3.6 flash | qwen | ₽8.03/M | ₽48.15/M | ₽401 |
| gpt 5.6 luna | openai | ₽8.56/M | ₽51.36/M | ₽428 |
| Llama 3.1 70B | llama 3.1 70b | ₽17.12/M | ₽17.12/M | ₽428 |
| minimax m2 | minimax | ₽10.91/M | ₽43.66/M | ₽437 |
| gpt 5.4 nano | openai | ₽8.56/M | ₽53.50/M | ₽439 |
| DeepSeek Chat (V3) | deepseek chat | ₽11.02/M | ₽44.03/M | ₽440 |
| DeepSeek Chat v3.1 Terminus | deepseek chat v3.1 terminus | ₽11.56/M | ₽42.80/M | ₽445 |
| Codestral 2501 | codestral 2501 | ₽12.84/M | ₽38.52/M | ₽449 |
| minimax m2.5 | minimax | ₽11.56/M | ₽46.22/M | ₽462 |
| qwen3 coder | qwen | ₽12.84/M | ₽42.80/M | ₽471 |
| Claude 3 Haiku | Anthropic | ₽10.70/M | ₽53.50/M | ₽482 |
| Grok Code Fast 1 | grok code fast 1 | ₽8.56/M | ₽64.20/M | ₽492 |
| qwen3.5 27b | qwen | ₽8.35/M | ₽66.77/M | ₽501 |
| minimax m2.1 | minimax | ₽12.84/M | ₽51.36/M | ₽514 |
| minimax m2.7 | minimax | ₽12.84/M | ₽51.36/M | ₽514 |
| minimax m3 | minimax | ₽12.84/M | ₽51.36/M | ₽514 |
| gemini 3.1 flash lite | ₽10.70/M | ₽64.20/M | ₽535 | |
| gemini 3.1 flash lite image | ₽10.70/M | ₽64.20/M | ₽535 | |
| qwen3.7 plus | qwen | ₽13.70/M | ₽54.78/M | ₽548 |
| mimo v2.5 pro | mimo v2.5 pro | ₽18.62/M | ₽37.24/M | ₽559 |
| qwen3.5 35b a3b | qwen | ₽9.63/M | ₽77.04/M | ₽578 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽8.99/M | ₽81.32/M | ₽586 |
| Muse Glimmer 30B | muse glimmer 30b | ₽14.98/M | ₽64.20/M | ₽621 |
| gpt 5.1 codex mini | openai | ₽10.70/M | ₽85.60/M | ₽642 |
| GPT-5 Mini | gpt 5 mini | ₽10.70/M | ₽85.60/M | ₽642 |
| qwen3.5 plus | qwen3.5 plus | ₽12.84/M | ₽77.04/M | ₽642 |
| DeepSeek-V4-Flash-Vision | deepseek v4 flash vision | ₽18.83/M | ₽56.50/M | ₽659 |
| WizardLM-2 8x22B | microsoft | ₽26.54/M | ₽26.54/M | ₽663 |
| qwen3.5 122b a10b | qwen | ₽11.13/M | ₽89.02/M | ₽668 |
| gpt 4.1 mini | openai | ₽17.12/M | ₽68.48/M | ₽685 |
| qwen3 235b a22b | qwen | ₽9.84/M | ₽98.44/M | ₽689 |
| qwen3.6 plus | qwen | ₽13.91/M | ₽83.46/M | ₽696 |
| glm 4.7 | z ai | ₽17.12/M | ₽74.90/M | ₽717 |
| gemini 3.7 flash | ₽16.05/M | ₽80.25/M | ₽722 | |
| glm 4.6 | z ai | ₽18.40/M | ₽74.90/M | ₽743 |
| Magistral Small 2509 | magistral small 2509 | ₽21.40/M | ₽64.20/M | ₽749 |
| mistral large 2512 | mistral large 2512 | ₽21.40/M | ₽64.20/M | ₽749 |
| Llama 3.3 70B | llama 3.3 70b | ₽30.39/M | ₽30.39/M | ₽760 |
| Mistral Medium 2505 | mistral medium 2505 | ₽17.12/M | ₽85.60/M | ₽770 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽12.84/M | ₽107/M | ₽792 |
| gemini 2.5 flash image | ₽12.84/M | ₽107/M | ₽792 | |
| gemini 3.5 flash lite | ₽12.84/M | ₽107/M | ₽792 | |
| Llama 4 Scout 17b 16e Instruct | meta | ₽20.54/M | ₽82.18/M | ₽822 |
| deepseek chat v3.1 | deepseek | ₽23.54/M | ₽70.62/M | ₽824 |
| qwen3.5 397b a17b | qwen | ₽16.69/M | ₽100/M | ₽835 |
| Kimi K2.5 | kimi k2.5 | ₽19.26/M | ₽96.30/M | ₽867 |
| llama 3 70b | llama 3 70b | ₽35.95/M | ₽38.09/M | ₽910 |
| qwen3.8 27b | qwen | ₽18.19/M | ₽109/M | ₽910 |
| GLM-5 | glm 5 | ₽25.68/M | ₽82.18/M | ₽924 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽23.54/M | ₽93.73/M | ₽939 |
| llama 4 maverick 17b 128e instruct | llama 4 maverick 17b 128e instruct | ₽23.54/M | ₽93.73/M | ₽939 |
| minimax m1 | minimax | ₽23.54/M | ₽94.16/M | ₽942 |
| seed 2 1 turbo | seed 2 1 turbo | ₽21.40/M | ₽107/M | ₽963 |
| Kimi K2 | kimi k2 | ₽24.40/M | ₽98.44/M | ₽980 |
| glm 4.5 | z ai | ₽25.68/M | ₽94.16/M | ₽984 |
| Gemini 3 Flash | gemini 3 flash | ₽21.40/M | ₽128/M | ₽1 070 |
| gemini 3.1 flash image | ₽21.40/M | ₽128/M | ₽1 070 | |
| seed-2.0-code | seed 2 0 code | ₽21.40/M | ₽128/M | ₽1 070 |
| Sonar | perplexity | ₽42.80/M | ₽42.80/M | ₽1 070 |
| deepseek v4 pro | deepseek | ₽37.24/M | ₽74.47/M | ₽1 117 |
| DeepSeek Prover V2 | DeepSeek Prover V2 | ₽29.96/M | ₽107/M | ₽1 134 |
| qwen3 coder plus | qwen | ₽27.82/M | ₽139/M | ₽1 252 |
| Nemotron 3 Ultra | nvidia | ₽25.68/M | ₽154/M | ₽1 284 |
| qwen3.6 27b | qwen | ₽25.68/M | ₽154/M | ₽1 284 |
| kimi k2.7 code | moonshotai | ₽28.68/M | ₽146/M | ₽1 301 |
| Nova Pro | amazon | ₽34.24/M | ₽137/M | ₽1 370 |
| gemini 3.6 flash | ₽32.10/M | ₽161/M | ₽1 445 | |
| Qwen3 Max | qwen3 max | ₽33.38/M | ₽167/M | ₽1 502 |
| gpt 5.4 mini | openai | ₽32.10/M | ₽193/M | ₽1 605 |
| grok 4.20 | x ai | ₽53.50/M | ₽107/M | ₽1 605 |
| grok 4.3 | x ai | ₽53.50/M | ₽107/M | ₽1 605 |
| kimi k2.6 | moonshotai | ₽40.66/M | ₽171/M | ₽1 669 |
| glm 5.2 | z ai | ₽50.93/M | ₽160/M | ₽1 819 |
| glm 5 turbo | z ai | ₽51.36/M | ₽171/M | ₽1 883 |
| glm 5v turbo | z ai | ₽51.36/M | ₽171/M | ₽1 883 |
| O3 Mini | o3 mini | ₽47.08/M | ₽188/M | ₽1 883 |
| O4 Mini | o4 mini | ₽47.08/M | ₽188/M | ₽1 883 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽42.80/M | ₽214/M | ₽1 926 |
| glm 5.1 | z ai | ₽53.93/M | ₽169/M | ₽1 926 |
| glm 5.3 | z ai | ₽59.92/M | ₽188/M | ₽2 140 |
| Qwen3.6 Max | qwen3.6 max | ₽43.96/M | ₽264/M | ₽2 198 |
| qwen3.7 max | qwen | ₽63.13/M | ₽189/M | ₽2 210 |
| Qwen Max | qwen max | ₽68.48/M | ₽274/M | ₽2 739 |
| grok 4.5 | x ai | ₽85.60/M | ₽257/M | ₽2 996 |
| grok 4.6 | grok 4.6 | ₽85.60/M | ₽257/M | ₽2 996 |
| Mistral Large 2411 | mistral large 2411 | ₽85.60/M | ₽257/M | ₽2 996 |
| Qwen3.8 2.4t A95B | qwen3.8 2.4t a95b | ₽85.60/M | ₽257/M | ₽2 996 |
| qwen3.8 max | qwen | ₽85.60/M | ₽257/M | ₽2 996 |
| gpt 4o mini tts | openai | ₽25.68/M | ₽514/M | ₽3 082 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽53.50/M | ₽428/M | ₽3 210 |
| gemini 3.5 flash | ₽64.20/M | ₽385/M | ₽3 210 | |
| gpt 5 chat | gpt 5 chat | ₽53.50/M | ₽428/M | ₽3 210 |
| gpt 5 codex | openai | ₽53.50/M | ₽428/M | ₽3 210 |
| gpt 5.1 | openai | ₽53.50/M | ₽428/M | ₽3 210 |
| gpt 5.1 codex | openai | ₽53.50/M | ₽428/M | ₽3 210 |
| gpt 5.1 codex max | openai | ₽53.50/M | ₽428/M | ₽3 210 |
| GPT-5 | gpt 5 | ₽53.50/M | ₽428/M | ₽3 210 |
| GPT-5.1 Chat | openai | ₽53.50/M | ₽428/M | ₽3 210 |
| Llama 3.1 405B | Llama 3.1 405B | ₽128/M | ₽128/M | ₽3 210 |
| gpt 4.1 | openai | ₽85.60/M | ₽342/M | ₽3 424 |
| O3 | o3 | ₽85.60/M | ₽342/M | ₽3 424 |
| sonar deep research | perplexity | ₽85.60/M | ₽342/M | ₽3 424 |
| sonar reasoning pro | perplexity | ₽85.60/M | ₽342/M | ₽3 424 |
| claude sonnet 5 | anthropic | ₽85.60/M | ₽428/M | ₽3 852 |
| gpt 5.6 sol | openai | ₽85.60/M | ₽428/M | ₽3 852 |
| Cohere Command A | cohere command a | ₽107/M | ₽428/M | ₽4 280 |
| gemini 3 pro image | ₽85.60/M | ₽514/M | ₽4 280 | |
| gemini 3.1 pro | ₽85.60/M | ₽514/M | ₽4 280 | |
| gpt 5.6 terra | openai | ₽85.60/M | ₽514/M | ₽4 280 |
| GPT-4o | gpt 4o | ₽107/M | ₽428/M | ₽4 280 |
| gpt 5.2 | openai | ₽74.90/M | ₽599/M | ₽4 494 |
| gpt 5.2 chat | openai | ₽74.90/M | ₽599/M | ₽4 494 |
| gpt 5.2 codex | openai | ₽74.90/M | ₽599/M | ₽4 494 |
| gpt 5.3 codex | openai | ₽74.90/M | ₽599/M | ₽4 494 |
| GPT-5.3 Chat | openai | ₽74.90/M | ₽599/M | ₽4 494 |
| gpt 5.4 | openai | ₽107/M | ₽642/M | ₽5 350 |
| Claude Sonnet 4 | claude sonnet 4 | ₽128/M | ₽642/M | ₽5 778 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽128/M | ₽642/M | ₽5 778 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽128/M | ₽642/M | ₽5 778 |
| kimi k3 | moonshotai | ₽128/M | ₽642/M | ₽5 778 |
| sonar pro | perplexity | ₽128/M | ₽642/M | ₽5 778 |
| Claude Opus 4.5 | claude opus 4 5 | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 4.6 | claude opus 4 6 | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 4.7 | claude opus 4 7 | ₽214/M | ₽1 070/M | ₽9 630 |
| claude opus 4.8 | anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| claude opus 5 | anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| gpt 5.5 | openai | ₽214/M | ₽1 284/M | ₽10 700 |
| gpt 4 turbo | openai | ₽428/M | ₽1 284/M | ₽14 980 |
| claude fable 5 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| O1 | o1 | ₽642/M | ₽2 568/M | ₽25 680 |
| Claude Opus 4 | claude opus 4 | ₽642/M | ₽3 210/M | ₽28 890 |
| gpt 4 | openai | ₽1 284/M | ₽2 568/M | ₽38 520 |
| gpt 5.2 pro | openai | ₽942/M | ₽7 190/M | ₽54 784 |
| gpt 5.4 pro | openai | ₽1 284/M | ₽7 704/M | ₽64 201 |
| gpt 5.5 pro | openai | ₽1 284/M | ₽7 704/M | ₽64 201 |
| Eleven Monolingual v1 | eleven monolingual v1 | ₽7 704/M | ₽7 704/M | ₽154 081 |
| Eleven Multilingual v1 | eleven multilingual v1 | ₽7 704/M | ₽7 704/M | ₽154 081 |
| Eleven Turbo V2 | eleven_turbo_v2 | ₽7 704/M | ₽7 704/M | ₽154 081 |
| Eleven V3 | eleven_v3 | ₽7 704/M | ₽7 704/M | ₽154 081 |
Текст и чат
оплата за токены · 189
▼
Текст и чат
оплата за токены · 189
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| Ling-3.0-flash | inclusionai | ₽0.90/M | ₽2.70/M | ₽31 |
| Open Mistral Nemo 2407 | open mistral nemo 2407 | ₽1.50/M | ₽3.42/M | ₽47 |
| gpt oss 20b | openai | ₽1.28/M | ₽5.56/M | ₽54 |
| qwen3.7 flash | qwen | ₽1.28/M | ₽5.56/M | ₽54 |
| Amazon Nova Micro | nova micro | ₽1.50/M | ₽5.99/M | ₽60 |
| llama 3.1 8b | llama 3.1 8b | ₽2.14/M | ₽3.42/M | ₽60 |
| Mythomax L2 13B | Gryphe | ₽2.57/M | ₽2.57/M | ₽64 |
| Llama 3.2 1B Preview | meta llama | ₽1.16/M | ₽8.60/M | ₽66 |
| gpt oss 120b | openai | ₽1.58/M | ₽7.28/M | ₽68 |
| Qwen Turbo | qwen turbo | ₽2.14/M | ₽8.56/M | ₽86 |
| Phi 4 | Microsoft | ₽3.00/M | ₽5.99/M | ₽90 |
| deepseek v4 flash | deepseek | ₽3.40/M | ₽6.81/M | ₽102 |
| Nova Lite | amazon | ₽2.57/M | ₽10.27/M | ₽103 |
| Nemotron 3.5 Lightning | NVIDIA | ₽3.42/M | ₽8.56/M | ₽111 |
| Llama 3.2 3B | llama 3.2 3b | ₽2.14/M | ₽14.12/M | ₽113 |
| qwen3.5 9b | qwen | ₽4.28/M | ₽6.42/M | ₽118 |
| glm 5.3 flash | z ai | ₽3.21/M | ₽10.70/M | ₽118 |
| Ministral 8B 2410 | ministral 8b 2410 | ₽4.71/M | ₽4.71/M | ₽118 |
| GPT-5 Nano | gpt 5 nano | ₽2.14/M | ₽17.12/M | ₽128 |
| qwen3 32b | qwen | ₽3.42/M | ₽11.98/M | ₽128 |
| gemma 4 26b a4b it | ₽3.00/M | ₽14.55/M | ₽133 | |
| glm 4.7 flash | z ai | ₽2.57/M | ₽17.12/M | ₽137 |
| gemma 4 31b it | ₽3.85/M | ₽14.55/M | ₽150 | |
| mimo v2 flash | xiaomi | ₽4.28/M | ₽12.84/M | ₽150 |
| qwen3 235b a22b 2507 | qwen | ₽3.75/M | ₽14.98/M | ₽150 |
| qwen3 14b | qwen | ₽5.14/M | ₽10.27/M | ₽154 |
| Nemotron 3 Super 120B-A12B | nvidia | ₽3.64/M | ₽17.12/M | ₽158 |
| llama 3 8b | llama 3 8b | ₽5.99/M | ₽8.56/M | ₽163 |
| gemma 3 27b it | ₽3.42/M | ₽19.26/M | ₽165 | |
| Dola-Seed 2.0 Mini | bytedance | ₽4.28/M | ₽17.12/M | ₽171 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽4.28/M | ₽17.12/M | ₽171 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽4.28/M | ₽17.12/M | ₽171 |
| gpt 4.1 nano | openai | ₽4.28/M | ₽17.12/M | ₽171 |
| mimo v2.5 | mimo v2.5 | ₽5.99/M | ₽11.98/M | ₽180 |
| llama guard 4 12b | meta llama | ₽7.70/M | ₽7.70/M | ₽193 |
| qwen3 30b a3b | qwen | ₽5.14/M | ₽21.40/M | ₽210 |
| llama 3.2 11b vision:free | meta llama | ₽8.56/M | ₽8.56/M | ₽214 |
| Hy3 | hy3 | ₽5.65/M | ₽22.60/M | ₽226 |
| qwen3.8 flash | qwen | ₽6.42/M | ₽20.12/M | ₽229 |
| GPT-4o Mini | gpt 4o mini | ₽6.42/M | ₽25.68/M | ₽257 |
| Mistral Small 2501 | mistral small 2501 | ₽6.42/M | ₽25.68/M | ₽257 |
| Mistral Small 2503 | mistral small 2503 | ₽6.42/M | ₽25.68/M | ₽257 |
| mistral small 2603 | mistral small 2603 | ₽6.42/M | ₽25.68/M | ₽257 |
| Mistral Small 3.2 | mistral small 2506 | ₽6.42/M | ₽25.68/M | ₽257 |
| qwen3 coder next | qwen | ₽5.14/M | ₽34.24/M | ₽274 |
| deepseek v3.2 | deepseek | ₽11.13/M | ₽16.26/M | ₽304 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽4.28/M | ₽47.08/M | ₽321 |
| Qwq 32b | qwen | ₽12.41/M | ₽16.69/M | ₽332 |
| qwen3.6 35b a3b | qwen | ₽5.99/M | ₽42.80/M | ₽334 |
| qwen 2.5 72b instruct | qwen | ₽15.41/M | ₽17.12/M | ₽394 |
| qwen3.6 flash | qwen | ₽8.03/M | ₽48.15/M | ₽401 |
| gpt 5.6 luna | openai | ₽8.56/M | ₽51.36/M | ₽428 |
| Llama 3.1 70B | llama 3.1 70b | ₽17.12/M | ₽17.12/M | ₽428 |
| minimax m2 | minimax | ₽10.91/M | ₽43.66/M | ₽437 |
| gpt 5.4 nano | openai | ₽8.56/M | ₽53.50/M | ₽439 |
| DeepSeek Chat (V3) | deepseek chat | ₽11.02/M | ₽44.03/M | ₽440 |
| DeepSeek Chat v3.1 Terminus | deepseek chat v3.1 terminus | ₽11.56/M | ₽42.80/M | ₽445 |
| Codestral 2501 | codestral 2501 | ₽12.84/M | ₽38.52/M | ₽449 |
| minimax m2.5 | minimax | ₽11.56/M | ₽46.22/M | ₽462 |
| qwen3 coder | qwen | ₽12.84/M | ₽42.80/M | ₽471 |
| Claude 3 Haiku | Anthropic | ₽10.70/M | ₽53.50/M | ₽482 |
| Grok Code Fast 1 | grok code fast 1 | ₽8.56/M | ₽64.20/M | ₽492 |
| qwen3.5 27b | qwen | ₽8.35/M | ₽66.77/M | ₽501 |
| minimax m2.1 | minimax | ₽12.84/M | ₽51.36/M | ₽514 |
| minimax m2.7 | minimax | ₽12.84/M | ₽51.36/M | ₽514 |
| minimax m3 | minimax | ₽12.84/M | ₽51.36/M | ₽514 |
| gemini 3.1 flash lite | ₽10.70/M | ₽64.20/M | ₽535 | |
| gemini 3.1 flash lite image | ₽10.70/M | ₽64.20/M | ₽535 | |
| qwen3.7 plus | qwen | ₽13.70/M | ₽54.78/M | ₽548 |
| mimo v2.5 pro | mimo v2.5 pro | ₽18.62/M | ₽37.24/M | ₽559 |
| qwen3.5 35b a3b | qwen | ₽9.63/M | ₽77.04/M | ₽578 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽8.99/M | ₽81.32/M | ₽586 |
| Muse Glimmer 30B | muse glimmer 30b | ₽14.98/M | ₽64.20/M | ₽621 |
| gpt 5.1 codex mini | openai | ₽10.70/M | ₽85.60/M | ₽642 |
| GPT-5 Mini | gpt 5 mini | ₽10.70/M | ₽85.60/M | ₽642 |
| qwen3.5 plus | qwen3.5 plus | ₽12.84/M | ₽77.04/M | ₽642 |
| DeepSeek-V4-Flash-Vision | deepseek v4 flash vision | ₽18.83/M | ₽56.50/M | ₽659 |
| WizardLM-2 8x22B | microsoft | ₽26.54/M | ₽26.54/M | ₽663 |
| qwen3.5 122b a10b | qwen | ₽11.13/M | ₽89.02/M | ₽668 |
| gpt 4.1 mini | openai | ₽17.12/M | ₽68.48/M | ₽685 |
| qwen3 235b a22b | qwen | ₽9.84/M | ₽98.44/M | ₽689 |
| qwen3.6 plus | qwen | ₽13.91/M | ₽83.46/M | ₽696 |
| glm 4.7 | z ai | ₽17.12/M | ₽74.90/M | ₽717 |
| gemini 3.7 flash | ₽16.05/M | ₽80.25/M | ₽722 | |
| glm 4.6 | z ai | ₽18.40/M | ₽74.90/M | ₽743 |
| Magistral Small 2509 | magistral small 2509 | ₽21.40/M | ₽64.20/M | ₽749 |
| mistral large 2512 | mistral large 2512 | ₽21.40/M | ₽64.20/M | ₽749 |
| Llama 3.3 70B | llama 3.3 70b | ₽30.39/M | ₽30.39/M | ₽760 |
| Mistral Medium 2505 | mistral medium 2505 | ₽17.12/M | ₽85.60/M | ₽770 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽12.84/M | ₽107/M | ₽792 |
| gemini 2.5 flash image | ₽12.84/M | ₽107/M | ₽792 | |
| gemini 3.5 flash lite | ₽12.84/M | ₽107/M | ₽792 | |
| Llama 4 Scout 17b 16e Instruct | meta | ₽20.54/M | ₽82.18/M | ₽822 |
| deepseek chat v3.1 | deepseek | ₽23.54/M | ₽70.62/M | ₽824 |
| qwen3.5 397b a17b | qwen | ₽16.69/M | ₽100/M | ₽835 |
| Kimi K2.5 | kimi k2.5 | ₽19.26/M | ₽96.30/M | ₽867 |
| llama 3 70b | llama 3 70b | ₽35.95/M | ₽38.09/M | ₽910 |
| qwen3.8 27b | qwen | ₽18.19/M | ₽109/M | ₽910 |
| GLM-5 | glm 5 | ₽25.68/M | ₽82.18/M | ₽924 |
| DeepSeek Reasoner (R1) | deepseek reasoner | ₽23.54/M | ₽93.73/M | ₽939 |
| llama 4 maverick 17b 128e instruct | llama 4 maverick 17b 128e instruct | ₽23.54/M | ₽93.73/M | ₽939 |
| minimax m1 | minimax | ₽23.54/M | ₽94.16/M | ₽942 |
| seed 2 1 turbo | seed 2 1 turbo | ₽21.40/M | ₽107/M | ₽963 |
| Kimi K2 | kimi k2 | ₽24.40/M | ₽98.44/M | ₽980 |
| glm 4.5 | z ai | ₽25.68/M | ₽94.16/M | ₽984 |
| Gemini 3 Flash | gemini 3 flash | ₽21.40/M | ₽128/M | ₽1 070 |
| gemini 3.1 flash image | ₽21.40/M | ₽128/M | ₽1 070 | |
| seed-2.0-code | seed 2 0 code | ₽21.40/M | ₽128/M | ₽1 070 |
| Sonar | perplexity | ₽42.80/M | ₽42.80/M | ₽1 070 |
| deepseek v4 pro | deepseek | ₽37.24/M | ₽74.47/M | ₽1 117 |
| DeepSeek Prover V2 | DeepSeek Prover V2 | ₽29.96/M | ₽107/M | ₽1 134 |
| qwen3 coder plus | qwen | ₽27.82/M | ₽139/M | ₽1 252 |
| Nemotron 3 Ultra | nvidia | ₽25.68/M | ₽154/M | ₽1 284 |
| qwen3.6 27b | qwen | ₽25.68/M | ₽154/M | ₽1 284 |
| kimi k2.7 code | moonshotai | ₽28.68/M | ₽146/M | ₽1 301 |
| Nova Pro | amazon | ₽34.24/M | ₽137/M | ₽1 370 |
| gemini 3.6 flash | ₽32.10/M | ₽161/M | ₽1 445 | |
| Qwen3 Max | qwen3 max | ₽33.38/M | ₽167/M | ₽1 502 |
| gpt 5.4 mini | openai | ₽32.10/M | ₽193/M | ₽1 605 |
| grok 4.20 | x ai | ₽53.50/M | ₽107/M | ₽1 605 |
| grok 4.3 | x ai | ₽53.50/M | ₽107/M | ₽1 605 |
| kimi k2.6 | moonshotai | ₽40.66/M | ₽171/M | ₽1 669 |
| glm 5.2 | z ai | ₽50.93/M | ₽160/M | ₽1 819 |
| glm 5 turbo | z ai | ₽51.36/M | ₽171/M | ₽1 883 |
| glm 5v turbo | z ai | ₽51.36/M | ₽171/M | ₽1 883 |
| O3 Mini | o3 mini | ₽47.08/M | ₽188/M | ₽1 883 |
| O4 Mini | o4 mini | ₽47.08/M | ₽188/M | ₽1 883 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽42.80/M | ₽214/M | ₽1 926 |
| glm 5.1 | z ai | ₽53.93/M | ₽169/M | ₽1 926 |
| glm 5.3 | z ai | ₽59.92/M | ₽188/M | ₽2 140 |
| Qwen3.6 Max | qwen3.6 max | ₽43.96/M | ₽264/M | ₽2 198 |
| qwen3.7 max | qwen | ₽63.13/M | ₽189/M | ₽2 210 |
| Qwen Max | qwen max | ₽68.48/M | ₽274/M | ₽2 739 |
| grok 4.5 | x ai | ₽85.60/M | ₽257/M | ₽2 996 |
| grok 4.6 | grok 4.6 | ₽85.60/M | ₽257/M | ₽2 996 |
| Mistral Large 2411 | mistral large 2411 | ₽85.60/M | ₽257/M | ₽2 996 |
| Qwen3.8 2.4t A95B | qwen3.8 2.4t a95b | ₽85.60/M | ₽257/M | ₽2 996 |
| qwen3.8 max | qwen | ₽85.60/M | ₽257/M | ₽2 996 |
| gpt 4o mini tts | openai | ₽25.68/M | ₽514/M | ₽3 082 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽53.50/M | ₽428/M | ₽3 210 |
| gemini 3.5 flash | ₽64.20/M | ₽385/M | ₽3 210 | |
| gpt 5 chat | gpt 5 chat | ₽53.50/M | ₽428/M | ₽3 210 |
| gpt 5 codex | openai | ₽53.50/M | ₽428/M | ₽3 210 |
| gpt 5.1 | openai | ₽53.50/M | ₽428/M | ₽3 210 |
| gpt 5.1 codex | openai | ₽53.50/M | ₽428/M | ₽3 210 |
| gpt 5.1 codex max | openai | ₽53.50/M | ₽428/M | ₽3 210 |
| GPT-5 | gpt 5 | ₽53.50/M | ₽428/M | ₽3 210 |
| GPT-5.1 Chat | openai | ₽53.50/M | ₽428/M | ₽3 210 |
| Llama 3.1 405B | Llama 3.1 405B | ₽128/M | ₽128/M | ₽3 210 |
| gpt 4.1 | openai | ₽85.60/M | ₽342/M | ₽3 424 |
| O3 | o3 | ₽85.60/M | ₽342/M | ₽3 424 |
| sonar deep research | perplexity | ₽85.60/M | ₽342/M | ₽3 424 |
| sonar reasoning pro | perplexity | ₽85.60/M | ₽342/M | ₽3 424 |
| claude sonnet 5 | anthropic | ₽85.60/M | ₽428/M | ₽3 852 |
| gpt 5.6 sol | openai | ₽85.60/M | ₽428/M | ₽3 852 |
| Cohere Command A | cohere command a | ₽107/M | ₽428/M | ₽4 280 |
| gemini 3 pro image | ₽85.60/M | ₽514/M | ₽4 280 | |
| gemini 3.1 pro | ₽85.60/M | ₽514/M | ₽4 280 | |
| gpt 5.6 terra | openai | ₽85.60/M | ₽514/M | ₽4 280 |
| GPT-4o | gpt 4o | ₽107/M | ₽428/M | ₽4 280 |
| gpt 5.2 | openai | ₽74.90/M | ₽599/M | ₽4 494 |
| gpt 5.2 chat | openai | ₽74.90/M | ₽599/M | ₽4 494 |
| gpt 5.2 codex | openai | ₽74.90/M | ₽599/M | ₽4 494 |
| gpt 5.3 codex | openai | ₽74.90/M | ₽599/M | ₽4 494 |
| GPT-5.3 Chat | openai | ₽74.90/M | ₽599/M | ₽4 494 |
| gpt 5.4 | openai | ₽107/M | ₽642/M | ₽5 350 |
| Claude Sonnet 4 | claude sonnet 4 | ₽128/M | ₽642/M | ₽5 778 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽128/M | ₽642/M | ₽5 778 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽128/M | ₽642/M | ₽5 778 |
| kimi k3 | moonshotai | ₽128/M | ₽642/M | ₽5 778 |
| sonar pro | perplexity | ₽128/M | ₽642/M | ₽5 778 |
| Claude Opus 4.5 | claude opus 4 5 | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 4.6 | claude opus 4 6 | ₽214/M | ₽1 070/M | ₽9 630 |
| Claude Opus 4.7 | claude opus 4 7 | ₽214/M | ₽1 070/M | ₽9 630 |
| claude opus 4.8 | anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| claude opus 5 | anthropic | ₽214/M | ₽1 070/M | ₽9 630 |
| gpt 5.5 | openai | ₽214/M | ₽1 284/M | ₽10 700 |
| gpt 4 turbo | openai | ₽428/M | ₽1 284/M | ₽14 980 |
| claude fable 5 | anthropic | ₽428/M | ₽2 140/M | ₽19 260 |
| O1 | o1 | ₽642/M | ₽2 568/M | ₽25 680 |
| Claude Opus 4 | claude opus 4 | ₽642/M | ₽3 210/M | ₽28 890 |
| gpt 4 | openai | ₽1 284/M | ₽2 568/M | ₽38 520 |
| gpt 5.2 pro | openai | ₽942/M | ₽7 190/M | ₽54 784 |
| gpt 5.4 pro | openai | ₽1 284/M | ₽7 704/M | ₽64 201 |
| gpt 5.5 pro | openai | ₽1 284/M | ₽7 704/M | ₽64 201 |
| Eleven Monolingual v1 | eleven monolingual v1 | ₽7 704/M | ₽7 704/M | ₽154 081 |
| Eleven Multilingual v1 | eleven multilingual v1 | ₽7 704/M | ₽7 704/M | ₽154 081 |
| Eleven Turbo V2 | eleven_turbo_v2 | ₽7 704/M | ₽7 704/M | ₽154 081 |
| Eleven V3 | eleven_v3 | ₽7 704/M | ₽7 704/M | ₽154 081 |
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 190 моделей AI API. Средняя цена — ₽281/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽0.90/M (Ling-3.0-flash).
Сравните цены на Ling-3.0-flash , Open Mistral Nemo 2407 , gpt oss 20b , qwen3.7 flash и Amazon Nova Micro у других провайдеров или в каталоге агрегаторов . Данные обновлены 30.08.2026.