TokenFlux
Сайт ↗OpenRouter-style роутер: 164 модели, USD pay-per-token
- Моделей
- 169
- Средняя цена
- ₽445/M
- Регион
- Зарубежный · сайт на английский
- Оплата
- USD (доллары)
- Биллинг
- за токены
- API
- OpenAI-compatible
Сайт на английском
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 = 82.9977 ₽ · 1 CNY = 12.278 ₽ · 13.08.2026
167 моделей
Текст и чат
оплата за токены · 165
▼
Текст и чат
оплата за токены · 165
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| gpt oss 20b | openai | ₽2.49/M | ₽10.79/M | ₽104 |
| Qwen3.7 Flash | qwen3.7 flash | ₽2.49/M | ₽10.79/M | ₽104 |
| gpt oss 120b | openai | ₽2.49/M -19% ввод | ₽14.11/M | ₽120 |
| Gemma 3 4B It | gemma 3 4b it | ₽4.15/M | ₽8.30/M | ₽124 |
| gemma 3 12b it | ₽4.15/M | ₽12.45/M | ₽145 | |
| gemma 3n e4b it | ₽4.98/M | ₽9.96/M | ₽149 | |
| qwen3 30b a3b instruct 2507 | qwen | ₽4.00/M | ₽16.02/M | ₽160 |
| deepseek v4 flash | deepseek | ₽6.64/M | ₽14.94/M | ₽207 |
| Qwen3.5 Flash | alibaba | ₽5.39/M | ₽21.58/M | ₽216 |
| qwen3.5 9b | qwen | ₽8.30/M | ₽12.45/M | ₽228 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽5.81/M | ₽23.24/M | ₽232 |
| GPT-5 Nano | gpt 5 nano | ₽4.15/M | ₽33.20/M | ₽249 |
| qwen 2.5 7b instruct | qwen | ₽8.30/M | ₽16.60/M | ₽249 |
| gpt oss safeguard 20b | openai | ₽6.22/M | ₽24.90/M | ₽249 |
| qwen3 32b | qwen | ₽6.64/M | ₽23.24/M | ₽249 |
| glm 4.7 flash | z ai | ₽4.98/M | ₽33.20/M | ₽266 |
| qwen3 14b | qwen | ₽9.96/M | ₽19.92/M | ₽299 |
| gemma 4 31b it | ₽8.30/M | ₽28.22/M | ₽307 | |
| gemma 3 27b it | ₽6.64/M | ₽37.35/M | ₽320 | |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.30/M | ₽33.20/M | ₽332 |
| gpt 4.1 nano | openai | ₽8.30/M | ₽33.20/M | ₽332 |
| qwen3 vl 32b instruct | qwen | ₽8.63/M | ₽34.53/M | ₽345 |
| gemma 4 26b a4b it | ₽9.96/M | ₽33.20/M | ₽365 | |
| qwen3 235b a22b 2507 | qwen | ₽7.47/M | ₽45.65/M | ₽378 |
| qwen3 8b | qwen | ₽9.71/M | ₽37.76/M | ₽383 |
| qwen3 vl 8b instruct | qwen | ₽9.71/M | ₽37.76/M | ₽383 |
| qwen3 30b a3b | qwen | ₽9.96/M | ₽41.50/M | ₽407 |
| gpt 5.6 luna | openai | ₽8.30/M | ₽49.80/M | ₽415 |
| gpt 5.6 luna pro | openai | ₽8.30/M | ₽49.80/M | ₽415 |
| GPT-4o Mini | gpt 4o mini | ₽12.45/M | ₽49.80/M | ₽498 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽12.45/M | ₽49.80/M | ₽498 |
| qwen3 coder next | qwen | ₽9.96/M | ₽66.40/M | ₽531 |
| glm 4.5 air | z ai | ₽10.79/M | ₽70.55/M | ₽569 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽7.47/M | ₽91.30/M | ₽606 |
| deepseek v3.2 | deepseek | ₽22.33/M | ₽33.20/M | ₽613 |
| qwen3.5 35b a3b | qwen | ₽11.62/M | ₽83.00/M | ₽647 |
| qwen3.6 35b a3b | qwen | ₽12.45/M | ₽83.00/M | ₽664 |
| qwen2.5 vl 72b instruct | qwen | ₽20.75/M | ₽62.25/M | ₽726 |
| qwen3 coder flash | qwen | ₽16.18/M | ₽80.92/M | ₽728 |
| minimax m2.5 | minimax | ₽18.26/M | ₽74.70/M | ₽739 |
| Qwen Plus | qwen plus | ₽21.58/M | ₽64.74/M | ₽755 |
| qwen 2.5 72b instruct | qwen | ₽29.88/M | ₽33.20/M | ₽764 |
| qwen3.6 flash | qwen | ₽15.56/M | ₽93.37/M | ₽778 |
| minimax 01 | minimax | ₽16.60/M | ₽91.30/M | ₽788 |
| deepseek chat v3.1 | deepseek | ₽20.75/M | ₽78.85/M | ₽809 |
| deepseek v3.1 terminus | deepseek | ₽22.41/M | ₽78.85/M | ₽842 |
| minimax m2 | minimax | ₽21.16/M | ₽84.66/M | ₽847 |
| gpt 5.4 nano | openai | ₽16.60/M | ₽104/M | ₽851 |
| DeepSeek Chat (V3) | deepseek chat | ₽21.36/M | ₽85.38/M | ₽854 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽21.58/M | ₽86.32/M -45% вывод | ₽863 |
| glm 4.6v | z ai | ₽24.90/M | ₽74.70/M | ₽871 |
| qwen3 coder | qwen | ₽24.90/M | ₽83.00/M | ₽913 |
| Claude 3 Haiku | Anthropic | ₽20.75/M | ₽104/M | ₽934 |
| qwen3.5 27b | qwen | ₽16.18/M | ₽129/M | ₽971 |
| minimax m2 her | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| minimax m2.1 | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| minimax m2.7 | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| minimax m3 | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| gemini 3.1 flash lite | ₽20.75/M | ₽124/M | ₽1 037 | |
| gemini 3.1 flash lite image | ₽20.75/M | ₽124/M | ₽1 037 | |
| qwen3.7 plus | qwen | ₽26.56/M | ₽106/M | ₽1 062 |
| qwen3.5 plus | qwen3.5 plus | ₽21.58/M | ₽129/M | ₽1 079 |
| deepseek v4 pro | deepseek | ₽36.10/M | ₽72.21/M | ₽1 083 |
| gpt 5.1 codex mini | openai | ₽20.75/M | ₽166/M | ₽1 245 |
| GPT-5 Mini | gpt 5 mini | ₽20.75/M | ₽166/M | ₽1 245 |
| gpt 4.1 mini | openai | ₽33.20/M | ₽133/M | ₽1 328 |
| gemma 2 27b it | ₽53.95/M | ₽53.95/M | ₽1 349 | |
| qwen3.6 plus | qwen | ₽26.97/M | ₽162/M | ₽1 349 |
| glm 4.7 | z ai | ₽33.20/M | ₽145/M | ₽1 390 |
| glm 5.2 | z ai | ₽40.67/M | ₽128/M | ₽1 452 |
| gpt 3.5 turbo | openai | ₽41.50/M | ₽124/M | ₽1 452 |
| qwen3.5 122b a10b | qwen | ₽24.07/M | ₽199/M | ₽1 477 |
| qwen3 235b a22b | qwen | ₽37.76/M | ₽151/M | ₽1 511 |
| qwen 2.5 coder 32b instruct | qwen | ₽54.78/M | ₽83.00/M | ₽1 511 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽24.90/M | ₽207/M | ₽1 535 |
| gemini 2.5 flash image | ₽24.90/M | ₽207/M | ₽1 535 | |
| gemini 3.5 flash lite | ₽24.90/M | ₽207/M | ₽1 535 | |
| DeepSeek R1 | deepseek r1 | ₽41.50/M | ₽178/M | ₽1 722 |
| glm 4.5v | z ai | ₽49.80/M | ₽149/M | ₽1 743 |
| morph · morph-v3-fast | morph | ₽66.40/M | ₽99.60/M | ₽1 826 |
| glm 4.6 | z ai | ₽45.65/M | ₽183/M | ₽1 826 |
| minimax m1 | minimax | ₽45.65/M | ₽183/M | ₽1 826 |
| Kimi K2 | kimi k2 | ₽47.31/M | ₽191/M | ₽1 901 |
| glm 4.5 | z ai | ₽49.80/M | ₽183/M | ₽1 909 |
| kimi k2.6 | moonshotai | ₽48.10/M | ₽203/M | ₽1 975 |
| gpt audio mini | openai | ₽49.80/M | ₽199/M | ₽1 992 |
| Gemini 3 Flash | gemini 3 flash | ₽41.50/M | ₽249/M | ₽2 075 |
| gemini 3.1 flash image | ₽41.50/M | ₽249/M | ₽2 075 | |
| Kimi K2.5 | kimi k2.5 | ₽47.31/M | ₽237/M | ₽2 129 |
| morph · morph-v3-large | morph | ₽74.70/M | ₽158/M | ₽2 282 |
| qwen3.5 397b a17b | qwen | ₽41.50/M | ₽299/M | ₽2 324 |
| qwen3 coder plus | qwen | ₽53.95/M | ₽270/M | ₽2 428 |
| qwen3.6 27b | qwen | ₽49.80/M | ₽299/M | ₽2 490 |
| grok build 0.1 | x ai | ₽83.00/M | ₽166/M | ₽2 490 |
| kimi k2.7 code | moonshotai | ₽55.61/M | ₽282/M | ₽2 523 |
| GLM-5 | glm 5 | ₽78.85/M | ₽212/M | ₽2 635 |
| Qwen3 Max | qwen3 max | ₽64.74/M | ₽324/M | ₽2 913 |
| gpt 5.4 mini | openai | ₽62.25/M | ₽373/M | ₽3 112 |
| grok 4.20 | x ai | ₽104/M | ₽207/M | ₽3 112 |
| grok 4.20 multi agent | x ai | ₽104/M | ₽207/M | ₽3 112 |
| grok 4.3 | x ai | ₽104/M | ₽207/M | ₽3 112 |
| glm 5 turbo | z ai | ₽99.60/M | ₽332/M | ₽3 652 |
| glm 5v turbo | z ai | ₽99.60/M | ₽332/M | ₽3 652 |
| O3 Mini | o3 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| o3 mini high | openai | ₽91.30/M | ₽365/M | ₽3 652 |
| O4 Mini | o4 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| o4 mini high | openai | ₽91.30/M | ₽365/M | ₽3 652 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽83.00/M | ₽415/M | ₽3 735 |
| glm 5.1 | z ai | ₽116/M | ₽365/M | ₽4 150 |
| gpt 5.6 terra | openai | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 terra pro | openai | ₽83.00/M | ₽498/M | ₽4 150 |
| Qwen3.6 Max | qwen3.6 max | ₽85.24/M | ₽511/M | ₽4 262 |
| qwen3.7 max | qwen | ₽122/M | ₽367/M | ₽4 285 |
| gpt 5 image mini | openai | ₽207/M | ₽166/M | ₽4 980 |
| gemini 3.6 flash | ₽124/M | ₽622/M | ₽5 602 | |
| grok 4.5 | x ai | ₽166/M | ₽498/M | ₽5 810 |
| grok 4.6 | grok 4.6 | ₽166/M | ₽498/M | ₽5 810 |
| Qwen 3.8 Max | alibaba | ₽166/M | ₽498/M | ₽5 810 |
| Qwen3.8 2.4T A95B | Qwen | ₽166/M | ₽498/M | ₽5 810 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽104/M | ₽830/M | ₽6 225 |
| gemini 3.5 flash | ₽124/M | ₽747/M | ₽6 225 | |
| gpt 5.1 | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex max | openai | ₽104/M | ₽830/M | ₽6 225 |
| GPT-5 | gpt 5 | ₽104/M | ₽830/M | ₽6 225 |
| gpt 3.5 turbo 16k | openai | ₽249/M | ₽332/M | ₽6 640 |
| gpt 4.1 | openai | ₽166/M | ₽664/M | ₽6 640 |
| O3 | o3 | ₽166/M | ₽664/M | ₽6 640 |
| claude sonnet 5 | anthropic | ₽166/M | ₽830/M | ₽7 470 |
| gemini 3 pro image | ₽166/M | ₽996/M | ₽8 300 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽166/M | ₽996/M | ₽8 300 |
| gemini 3.1 pro preview customtools | ₽166/M | ₽996/M | ₽8 300 | |
| gpt audio | openai | ₽207/M | ₽830/M | ₽8 300 |
| GPT-4o | gpt 4o | ₽207/M | ₽830/M | ₽8 300 |
| gpt 5.2 | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.2 chat | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.2 codex | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.3 codex | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.4 | openai | ₽207/M | ₽1 245/M | ₽10 375 |
| Claude Sonnet 4 | claude sonnet 4 | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽249/M | ₽1 245/M | ₽11 205 |
| kimi k3 | moonshotai | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude Opus 4.5 | claude opus 4 5 | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.6 | claude opus 4 6 | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.7 | claude opus 4 7 | ₽415/M | ₽2 075/M | ₽18 674 |
| claude opus 4.8 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| claude opus 5 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| GPT-5.4 Image 2 | openai | ₽664/M | ₽1 245/M | ₽19 504 |
| gpt 5.5 | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5.6 sol | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5.6 sol pro | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| GPT Chat | gpt chat latest | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5 image | openai | ₽830/M | ₽830/M | ₽20 749 |
| gpt 4 turbo | openai | ₽830/M | ₽2 490/M | ₽29 049 |
| claude fable 5 | anthropic | ₽830/M | ₽4 150/M | ₽37 349 |
| O1 | o1 | ₽1 245/M | ₽4 980/M | ₽49 799 |
| Claude Opus 4 | claude opus 4 | ₽1 245/M | ₽6 225/M | ₽56 023 |
| o3 pro | openai | ₽1 660/M | ₽6 640/M | ₽66 398 |
| gpt 4 | openai | ₽2 490/M | ₽4 980/M | ₽74 698 |
| gpt 5 pro | openai | ₽1 245/M | ₽9 960/M | ₽74 698 |
| gpt 5.2 pro | openai | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.4 pro | openai | ₽2 490/M | ₽14 940/M | ₽124 497 |
| gpt 5.5 pro | openai | ₽2 490/M | ₽14 940/M | ₽124 497 |
| o1 pro | openai | ₽12 450/M | ₽49 799/M | ₽497 986 |
Без публичной цены
нет данных в открытых источниках · 2
▼
Без публичной цены
нет данных в открытых источниках · 2
| Модель | Maker | Примечание |
|---|---|---|
| Lyria 3 Clip Preview | — | |
| Lyria 3 Pro Preview | — |
Текст и чат
оплата за токены · 165
▼
Текст и чат
оплата за токены · 165
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| gpt oss 20b | openai | ₽2.49/M | ₽10.79/M | ₽104 |
| Qwen3.7 Flash | qwen3.7 flash | ₽2.49/M | ₽10.79/M | ₽104 |
| gpt oss 120b | openai | ₽2.49/M -19% ввод | ₽14.11/M | ₽120 |
| Gemma 3 4B It | gemma 3 4b it | ₽4.15/M | ₽8.30/M | ₽124 |
| gemma 3 12b it | ₽4.15/M | ₽12.45/M | ₽145 | |
| gemma 3n e4b it | ₽4.98/M | ₽9.96/M | ₽149 | |
| qwen3 30b a3b instruct 2507 | qwen | ₽4.00/M | ₽16.02/M | ₽160 |
| deepseek v4 flash | deepseek | ₽6.64/M | ₽14.94/M | ₽207 |
| Qwen3.5 Flash | alibaba | ₽5.39/M | ₽21.58/M | ₽216 |
| qwen3.5 9b | qwen | ₽8.30/M | ₽12.45/M | ₽228 |
| Qwen 3 Coder 30B A3B Instruct | alibaba | ₽5.81/M | ₽23.24/M | ₽232 |
| GPT-5 Nano | gpt 5 nano | ₽4.15/M | ₽33.20/M | ₽249 |
| qwen 2.5 7b instruct | qwen | ₽8.30/M | ₽16.60/M | ₽249 |
| gpt oss safeguard 20b | openai | ₽6.22/M | ₽24.90/M | ₽249 |
| qwen3 32b | qwen | ₽6.64/M | ₽23.24/M | ₽249 |
| glm 4.7 flash | z ai | ₽4.98/M | ₽33.20/M | ₽266 |
| qwen3 14b | qwen | ₽9.96/M | ₽19.92/M | ₽299 |
| gemma 4 31b it | ₽8.30/M | ₽28.22/M | ₽307 | |
| gemma 3 27b it | ₽6.64/M | ₽37.35/M | ₽320 | |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.30/M | ₽33.20/M | ₽332 |
| gpt 4.1 nano | openai | ₽8.30/M | ₽33.20/M | ₽332 |
| qwen3 vl 32b instruct | qwen | ₽8.63/M | ₽34.53/M | ₽345 |
| gemma 4 26b a4b it | ₽9.96/M | ₽33.20/M | ₽365 | |
| qwen3 235b a22b 2507 | qwen | ₽7.47/M | ₽45.65/M | ₽378 |
| qwen3 8b | qwen | ₽9.71/M | ₽37.76/M | ₽383 |
| qwen3 vl 8b instruct | qwen | ₽9.71/M | ₽37.76/M | ₽383 |
| qwen3 30b a3b | qwen | ₽9.96/M | ₽41.50/M | ₽407 |
| gpt 5.6 luna | openai | ₽8.30/M | ₽49.80/M | ₽415 |
| gpt 5.6 luna pro | openai | ₽8.30/M | ₽49.80/M | ₽415 |
| GPT-4o Mini | gpt 4o mini | ₽12.45/M | ₽49.80/M | ₽498 |
| Qwen3 VL 30B | qwen3 vl 30b a3b | ₽12.45/M | ₽49.80/M | ₽498 |
| qwen3 coder next | qwen | ₽9.96/M | ₽66.40/M | ₽531 |
| glm 4.5 air | z ai | ₽10.79/M | ₽70.55/M | ₽569 |
| qwen3 next 80b a3b | qwen3 next 80b a3b | ₽7.47/M | ₽91.30/M | ₽606 |
| deepseek v3.2 | deepseek | ₽22.33/M | ₽33.20/M | ₽613 |
| qwen3.5 35b a3b | qwen | ₽11.62/M | ₽83.00/M | ₽647 |
| qwen3.6 35b a3b | qwen | ₽12.45/M | ₽83.00/M | ₽664 |
| qwen2.5 vl 72b instruct | qwen | ₽20.75/M | ₽62.25/M | ₽726 |
| qwen3 coder flash | qwen | ₽16.18/M | ₽80.92/M | ₽728 |
| minimax m2.5 | minimax | ₽18.26/M | ₽74.70/M | ₽739 |
| Qwen Plus | qwen plus | ₽21.58/M | ₽64.74/M | ₽755 |
| qwen 2.5 72b instruct | qwen | ₽29.88/M | ₽33.20/M | ₽764 |
| qwen3.6 flash | qwen | ₽15.56/M | ₽93.37/M | ₽778 |
| minimax 01 | minimax | ₽16.60/M | ₽91.30/M | ₽788 |
| deepseek chat v3.1 | deepseek | ₽20.75/M | ₽78.85/M | ₽809 |
| deepseek v3.1 terminus | deepseek | ₽22.41/M | ₽78.85/M | ₽842 |
| minimax m2 | minimax | ₽21.16/M | ₽84.66/M | ₽847 |
| gpt 5.4 nano | openai | ₽16.60/M | ₽104/M | ₽851 |
| DeepSeek Chat (V3) | deepseek chat | ₽21.36/M | ₽85.38/M | ₽854 |
| Qwen3 VL 235B | qwen3 vl 235b a22b | ₽21.58/M | ₽86.32/M -45% вывод | ₽863 |
| glm 4.6v | z ai | ₽24.90/M | ₽74.70/M | ₽871 |
| qwen3 coder | qwen | ₽24.90/M | ₽83.00/M | ₽913 |
| Claude 3 Haiku | Anthropic | ₽20.75/M | ₽104/M | ₽934 |
| qwen3.5 27b | qwen | ₽16.18/M | ₽129/M | ₽971 |
| minimax m2 her | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| minimax m2.1 | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| minimax m2.7 | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| minimax m3 | minimax | ₽24.90/M | ₽99.60/M | ₽996 |
| gemini 3.1 flash lite | ₽20.75/M | ₽124/M | ₽1 037 | |
| gemini 3.1 flash lite image | ₽20.75/M | ₽124/M | ₽1 037 | |
| qwen3.7 plus | qwen | ₽26.56/M | ₽106/M | ₽1 062 |
| qwen3.5 plus | qwen3.5 plus | ₽21.58/M | ₽129/M | ₽1 079 |
| deepseek v4 pro | deepseek | ₽36.10/M | ₽72.21/M | ₽1 083 |
| gpt 5.1 codex mini | openai | ₽20.75/M | ₽166/M | ₽1 245 |
| GPT-5 Mini | gpt 5 mini | ₽20.75/M | ₽166/M | ₽1 245 |
| gpt 4.1 mini | openai | ₽33.20/M | ₽133/M | ₽1 328 |
| gemma 2 27b it | ₽53.95/M | ₽53.95/M | ₽1 349 | |
| qwen3.6 plus | qwen | ₽26.97/M | ₽162/M | ₽1 349 |
| glm 4.7 | z ai | ₽33.20/M | ₽145/M | ₽1 390 |
| glm 5.2 | z ai | ₽40.67/M | ₽128/M | ₽1 452 |
| gpt 3.5 turbo | openai | ₽41.50/M | ₽124/M | ₽1 452 |
| qwen3.5 122b a10b | qwen | ₽24.07/M | ₽199/M | ₽1 477 |
| qwen3 235b a22b | qwen | ₽37.76/M | ₽151/M | ₽1 511 |
| qwen 2.5 coder 32b instruct | qwen | ₽54.78/M | ₽83.00/M | ₽1 511 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽24.90/M | ₽207/M | ₽1 535 |
| gemini 2.5 flash image | ₽24.90/M | ₽207/M | ₽1 535 | |
| gemini 3.5 flash lite | ₽24.90/M | ₽207/M | ₽1 535 | |
| DeepSeek R1 | deepseek r1 | ₽41.50/M | ₽178/M | ₽1 722 |
| glm 4.5v | z ai | ₽49.80/M | ₽149/M | ₽1 743 |
| morph · morph-v3-fast | morph | ₽66.40/M | ₽99.60/M | ₽1 826 |
| glm 4.6 | z ai | ₽45.65/M | ₽183/M | ₽1 826 |
| minimax m1 | minimax | ₽45.65/M | ₽183/M | ₽1 826 |
| Kimi K2 | kimi k2 | ₽47.31/M | ₽191/M | ₽1 901 |
| glm 4.5 | z ai | ₽49.80/M | ₽183/M | ₽1 909 |
| kimi k2.6 | moonshotai | ₽48.10/M | ₽203/M | ₽1 975 |
| gpt audio mini | openai | ₽49.80/M | ₽199/M | ₽1 992 |
| Gemini 3 Flash | gemini 3 flash | ₽41.50/M | ₽249/M | ₽2 075 |
| gemini 3.1 flash image | ₽41.50/M | ₽249/M | ₽2 075 | |
| Kimi K2.5 | kimi k2.5 | ₽47.31/M | ₽237/M | ₽2 129 |
| morph · morph-v3-large | morph | ₽74.70/M | ₽158/M | ₽2 282 |
| qwen3.5 397b a17b | qwen | ₽41.50/M | ₽299/M | ₽2 324 |
| qwen3 coder plus | qwen | ₽53.95/M | ₽270/M | ₽2 428 |
| qwen3.6 27b | qwen | ₽49.80/M | ₽299/M | ₽2 490 |
| grok build 0.1 | x ai | ₽83.00/M | ₽166/M | ₽2 490 |
| kimi k2.7 code | moonshotai | ₽55.61/M | ₽282/M | ₽2 523 |
| GLM-5 | glm 5 | ₽78.85/M | ₽212/M | ₽2 635 |
| Qwen3 Max | qwen3 max | ₽64.74/M | ₽324/M | ₽2 913 |
| gpt 5.4 mini | openai | ₽62.25/M | ₽373/M | ₽3 112 |
| grok 4.20 | x ai | ₽104/M | ₽207/M | ₽3 112 |
| grok 4.20 multi agent | x ai | ₽104/M | ₽207/M | ₽3 112 |
| grok 4.3 | x ai | ₽104/M | ₽207/M | ₽3 112 |
| glm 5 turbo | z ai | ₽99.60/M | ₽332/M | ₽3 652 |
| glm 5v turbo | z ai | ₽99.60/M | ₽332/M | ₽3 652 |
| O3 Mini | o3 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| o3 mini high | openai | ₽91.30/M | ₽365/M | ₽3 652 |
| O4 Mini | o4 mini | ₽91.30/M | ₽365/M | ₽3 652 |
| o4 mini high | openai | ₽91.30/M | ₽365/M | ₽3 652 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽83.00/M | ₽415/M | ₽3 735 |
| glm 5.1 | z ai | ₽116/M | ₽365/M | ₽4 150 |
| gpt 5.6 terra | openai | ₽83.00/M | ₽498/M | ₽4 150 |
| gpt 5.6 terra pro | openai | ₽83.00/M | ₽498/M | ₽4 150 |
| Qwen3.6 Max | qwen3.6 max | ₽85.24/M | ₽511/M | ₽4 262 |
| qwen3.7 max | qwen | ₽122/M | ₽367/M | ₽4 285 |
| gpt 5 image mini | openai | ₽207/M | ₽166/M | ₽4 980 |
| gemini 3.6 flash | ₽124/M | ₽622/M | ₽5 602 | |
| grok 4.5 | x ai | ₽166/M | ₽498/M | ₽5 810 |
| grok 4.6 | grok 4.6 | ₽166/M | ₽498/M | ₽5 810 |
| Qwen 3.8 Max | alibaba | ₽166/M | ₽498/M | ₽5 810 |
| Qwen3.8 2.4T A95B | Qwen | ₽166/M | ₽498/M | ₽5 810 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽104/M | ₽830/M | ₽6 225 |
| gemini 3.5 flash | ₽124/M | ₽747/M | ₽6 225 | |
| gpt 5.1 | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex | openai | ₽104/M | ₽830/M | ₽6 225 |
| gpt 5.1 codex max | openai | ₽104/M | ₽830/M | ₽6 225 |
| GPT-5 | gpt 5 | ₽104/M | ₽830/M | ₽6 225 |
| gpt 3.5 turbo 16k | openai | ₽249/M | ₽332/M | ₽6 640 |
| gpt 4.1 | openai | ₽166/M | ₽664/M | ₽6 640 |
| O3 | o3 | ₽166/M | ₽664/M | ₽6 640 |
| claude sonnet 5 | anthropic | ₽166/M | ₽830/M | ₽7 470 |
| gemini 3 pro image | ₽166/M | ₽996/M | ₽8 300 | |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽166/M | ₽996/M | ₽8 300 |
| gemini 3.1 pro preview customtools | ₽166/M | ₽996/M | ₽8 300 | |
| gpt audio | openai | ₽207/M | ₽830/M | ₽8 300 |
| GPT-4o | gpt 4o | ₽207/M | ₽830/M | ₽8 300 |
| gpt 5.2 | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.2 chat | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.2 codex | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.3 codex | openai | ₽145/M | ₽1 162/M | ₽8 715 |
| gpt 5.4 | openai | ₽207/M | ₽1 245/M | ₽10 375 |
| Claude Sonnet 4 | claude sonnet 4 | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽249/M | ₽1 245/M | ₽11 205 |
| kimi k3 | moonshotai | ₽249/M | ₽1 245/M | ₽11 205 |
| Claude Opus 4.5 | claude opus 4 5 | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.6 | claude opus 4 6 | ₽415/M | ₽2 075/M | ₽18 674 |
| Claude Opus 4.7 | claude opus 4 7 | ₽415/M | ₽2 075/M | ₽18 674 |
| claude opus 4.8 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| claude opus 5 | anthropic | ₽415/M | ₽2 075/M | ₽18 674 |
| GPT-5.4 Image 2 | openai | ₽664/M | ₽1 245/M | ₽19 504 |
| gpt 5.5 | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5.6 sol | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5.6 sol pro | openai | ₽415/M | ₽2 490/M | ₽20 749 |
| GPT Chat | gpt chat latest | ₽415/M | ₽2 490/M | ₽20 749 |
| gpt 5 image | openai | ₽830/M | ₽830/M | ₽20 749 |
| gpt 4 turbo | openai | ₽830/M | ₽2 490/M | ₽29 049 |
| claude fable 5 | anthropic | ₽830/M | ₽4 150/M | ₽37 349 |
| O1 | o1 | ₽1 245/M | ₽4 980/M | ₽49 799 |
| Claude Opus 4 | claude opus 4 | ₽1 245/M | ₽6 225/M | ₽56 023 |
| o3 pro | openai | ₽1 660/M | ₽6 640/M | ₽66 398 |
| gpt 4 | openai | ₽2 490/M | ₽4 980/M | ₽74 698 |
| gpt 5 pro | openai | ₽1 245/M | ₽9 960/M | ₽74 698 |
| gpt 5.2 pro | openai | ₽1 743/M | ₽13 944/M | ₽104 577 |
| gpt 5.4 pro | openai | ₽2 490/M | ₽14 940/M | ₽124 497 |
| gpt 5.5 pro | openai | ₽2 490/M | ₽14 940/M | ₽124 497 |
| o1 pro | openai | ₽12 450/M | ₽49 799/M | ₽497 986 |
Без публичной цены
нет данных в открытых источниках · 2
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Без публичной цены
нет данных в открытых источниках · 2
| Модель | Maker | Примечание |
|---|---|---|
| Lyria 3 Clip Preview | — | |
| Lyria 3 Pro Preview | — |
О провайдере
О сервисе
TokenFlux — compact OpenRouter alternative: тот же паттерн (один ключ, routing, flat per-token USD). На AI-APISHKA удобен для A/B сравнения $/1M с OpenRouter и oFox на одной странице модели.
Как сравнивать на AI-APISHKA
Прямой $/1M — сравнивайте с OpenRouter для каждой модели. TokenFlux часто дешевле или дороже на отдельных LLM.
Частые вопросы
- TokenFlux — чем отличается от OpenRouter?
- Оба USD pay-per-token роутеры с OpenAI API. Отличия — свой набор upstream и цены; сравнивайте на AI-APISHKA.
- TokenFlux — ratio или flat pricing?
- Flat per-token USD из /v1/models — без OneAPI model_ratio.
- Где каталог моделей TokenFlux?
- GET https://api.tokenflux.ai/v1/models и страница tokenflux.ai/models.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
TokenFlux предлагает 169 моделей AI API. Средняя цена — ₽445/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽2.49/M (gpt oss 20b).
Сравните цены на gpt oss 20b , Qwen3.7 Flash , gpt oss 120b , Gemma 3 4B It и gemma 3 12b it у других провайдеров или в каталоге агрегаторов . Данные обновлены 13.08.2026.