TokenFlux
Сайт ↗OpenRouter-style роутер: 164 модели, USD pay-per-token
- Моделей
- 133
- Средняя цена
- ₽357/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 = 71.9077 ₽ · 1 CNY = 10.6064 ₽ · 12.06.2026
133 моделей
Текст и чат
оплата за токены · 133
▼
Текст и чат
оплата за токены · 133
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| gemma 3n e4b it | ₽1.44/M | ₽2.88/M | ₽43 | |
| Gemma 3 4B It | gemma 3 4b it | ₽1.22/M | ₽4.90/M | ₽49 |
| gemma 2 9b it | gemma 2 9b it | ₽2.16/M | ₽6.47/M | ₽76 |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | ₽2.16/M | ₽6.47/M | ₽76 |
| gemma 3 12b it | ₽2.16/M | ₽7.19/M | ₽79 | |
| qwen 2.5 coder 32b instruct | qwen | ₽2.16/M | ₽7.91/M | ₽83 |
| gpt oss 20b | openai | ₽2.16/M | ₽10.07/M | ₽93 |
| qwen 2.5 7b instruct | qwen | ₽2.88/M | ₽7.19/M | ₽93 |
| gemma 3 27b it | ₽2.88/M | ₽10.79/M | ₽111 | |
| gpt oss 120b | openai | ₽2.80/M | ₽13.66/M | ₽124 |
| qwen3 235b a22b 2507 | qwen | ₽5.11/M | ₽7.19/M | ₽138 |
| Qwen Turbo | qwen turbo | ₽3.60/M | ₽14.38/M | ₽144 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽3.60/M | ₽15.82/M | ₽151 |
| qwen3 14b | qwen | ₽3.60/M | ₽15.82/M | ₽151 |
| qwen3 30b a3b | qwen | ₽4.31/M | ₽15.82/M | ₽165 |
| glm 4 32b | z ai | ₽7.19/M | ₽7.19/M | ₽180 |
| qwen3 coder 30b a3b instruct | qwen | ₽5.03/M | ₽19.42/M | ₽198 |
| Qwen3 4B | qwen3 4b | ₽5.14/M | ₽19.63/M | ₽201 |
| qwen3 32b | qwen | ₽5.75/M | ₽17.26/M | ₽201 |
| gpt 5 nano | openai | ₽3.60/M | ₽28.76/M | ₽216 |
| qwen3 8b | qwen | ₽3.60/M | ₽28.76/M | ₽216 |
| Gemini 2.0 Flash-Lite | gemini 2.0 flash lite | ₽5.39/M | ₽21.57/M | ₽216 |
| gpt oss safeguard 20b | openai | ₽5.39/M | ₽21.57/M | ₽216 |
| glm 4.7 flash | z ai | ₽4.31/M | ₽28.76/M | ₽230 |
| qwen3 30b a3b instruct 2507 | qwen | ₽5.75/M | ₽23.73/M | ₽234 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽7.19/M | ₽28.76/M | ₽288 |
| gemini 2.5 flash lite | ₽7.19/M | ₽28.76/M | ₽288 | |
| gpt 4.1 nano | openai | ₽7.19/M | ₽28.76/M | ₽288 |
| qwen3 vl 8b instruct | qwen | ₽5.75/M | ₽35.95/M | ₽295 |
| qwen3 vl 32b instruct | qwen | ₽7.48/M | ₽29.91/M | ₽299 |
| qwen 2.5 72b instruct | qwen | ₽8.63/M | ₽28.04/M | ₽313 |
| Qwen 2.5 VL 7B Instruct | Qwen 2.5 VL 7B Instruct | ₽14.38/M | ₽14.38/M | ₽360 |
| QwQ 32B | Qwen | ₽10.79/M | ₽28.76/M | ₽360 |
| qwen3 vl 30b a3b instruct | qwen | ₽9.35/M | ₽37.39/M | ₽374 |
| gpt 4o mini | openai | ₽10.79/M | ₽43.14/M | ₽431 |
| qwen2.5 vl 72b instruct | qwen | ₽10.79/M | ₽43.14/M | ₽431 |
| qwen3 coder next | qwen | ₽8.63/M | ₽53.93/M | ₽442 |
| Grok 4 | grok 4 | ₽14.38/M | ₽35.95/M | ₽467 |
| grok 4.1 | grok 4.1 | ₽14.38/M | ₽35.95/M | ₽467 |
| deepseek chat v3.1 | deepseek | ₽10.79/M | ₽53.93/M | ₽485 |
| glm 4.5 air | z ai | ₽9.35/M | ₽61.12/M | ₽493 |
| deepseek v3.2 | deepseek | ₽18.70/M | ₽27.32/M | ₽511 |
| Qwen3 Next 80B A3B | Qwen | ₽6.47/M | ₽79.10/M | ₽525 |
| qwen vl plus | qwen vl plus | ₽15.10/M | ₽45.30/M | ₽529 |
| deepseek v3.2 speciale | deepseek v3.2 speciale | ₽19.42/M | ₽29.48/M | ₽536 |
| qwen3.5 397b a17b | qwen | ₽10.79/M | ₽71.91/M | ₽575 |
| deepseek chat | deepseek | ₽13.66/M | ₽62.56/M | ₽586 |
| deepseek v3.1 terminus | deepseek | ₽15.10/M | ₽56.81/M | ₽586 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽14.38/M | ₽63.28/M | ₽604 |
| Grok 3 Mini | grok 3 mini | ₽21.57/M | ₽35.95/M | ₽611 |
| qwen3 coder | qwen | ₽15.82/M | ₽71.91/M | ₽676 |
| minimax 01 | minimax | ₽14.38/M | ₽79.10/M | ₽683 |
| minimax m2 | minimax | ₽18.34/M | ₽71.91/M | ₽726 |
| minimax m2.1 | minimax | ₽19.42/M | ₽68.31/M | ₽730 |
| glm 4.6v | z ai | ₽21.57/M | ₽64.72/M | ₽755 |
| claude 3 haiku | anthropic | ₽17.98/M | ₽89.88/M | ₽809 |
| Grok Code Fast 1 | grok code fast 1 | ₽14.38/M | ₽108/M | ₽827 |
| minimax m2.5 | minimax | ₽21.57/M | ₽79.10/M | ₽827 |
| minimax m2 her | minimax | ₽21.57/M | ₽86.29/M | ₽863 |
| qwen3 235b a22b | qwen | ₽21.57/M | ₽86.29/M | ₽863 |
| qwen3 coder flash | qwen | ₽21.57/M | ₽108/M | ₽971 |
| qwen plus | qwen | ₽28.76/M | ₽86.29/M | ₽1 007 |
| glm 4.5 | z ai | ₽25.17/M | ₽111/M | ₽1 061 |
| gpt 5 mini | openai | ₽17.98/M | ₽144/M | ₽1 079 |
| gpt 5.1 codex mini | openai | ₽17.98/M | ₽144/M | ₽1 079 |
| glm 4.6 | z ai | ₽24.45/M | ₽122/M | ₽1 100 |
| gpt 4.1 mini | openai | ₽28.76/M | ₽115/M | ₽1 151 |
| glm 4.7 | z ai | ₽27.32/M | ₽122/M | ₽1 158 |
| gemma 2 27b it | ₽46.74/M | ₽46.74/M | ₽1 169 | |
| deepseek r1 | deepseek | ₽28.76/M | ₽126/M | ₽1 204 |
| kimi k2 | moonshotai | ₽28.76/M | ₽126/M | ₽1 204 |
| gpt 3.5 turbo | openai | ₽35.95/M | ₽108/M | ₽1 258 |
| gemini 2.5 flash | ₽21.57/M | ₽180/M | ₽1 330 | |
| gemini 2.5 flash image | ₽21.57/M | ₽180/M | ₽1 330 | |
| glm 5 | z ai | ₽21.57/M | ₽183/M | ₽1 348 |
| minimax m1 | minimax | ₽28.76/M | ₽158/M | ₽1 366 |
| kimi k2.5 | moonshotai | ₽16.54/M | ₽216/M | ₽1 409 |
| Qwen3.5 Plus | qwen3.5 plus | ₽28.76/M | ₽173/M | ₽1 438 |
| glm 4.5v | z ai | ₽43.14/M | ₽129/M | ₽1 510 |
| morph · morph-v3-fast | morph | ₽57.53/M | ₽86.29/M | ₽1 582 |
| gpt audio mini | openai | ₽43.14/M | ₽173/M | ₽1 726 |
| gemini 3 flash | gemini 3 flash | ₽35.95/M | ₽216/M | ₽1 798 |
| morph · morph-v3-large | morph | ₽64.72/M | ₽137/M | ₽1 977 |
| qwen vl max | qwen vl max | ₽57.53/M | ₽230/M | ₽2 301 |
| claude 3.5 haiku | anthropic | ₽57.53/M | ₽288/M | ₽2 589 |
| o3 mini | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| o3 mini high | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| o4 mini | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| o4 mini high | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| claude haiku 4.5 | anthropic | ₽71.91/M | ₽360/M | ₽3 236 |
| qwen3 coder plus | qwen | ₽71.91/M | ₽360/M | ₽3 236 |
| qwen3 max | qwen | ₽86.29/M | ₽431/M | ₽3 883 |
| gpt 5 image mini | openai | ₽180/M | ₽144/M | ₽4 314 |
| Qwen Max | qwen max | ₽115/M | ₽460/M | ₽4 602 |
| gemini 2.5 pro | ₽89.88/M | ₽719/M | ₽5 393 | |
| gpt 5 | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5 chat | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5 codex | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 chat | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 codex | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 codex max | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 3.5 turbo 16k | openai | ₽216/M | ₽288/M | ₽5 753 |
| gpt 4.1 | openai | ₽144/M | ₽575/M | ₽5 753 |
| O3 | openai | ₽144/M | ₽575/M | ₽5 753 |
| o4 mini deep research | openai | ₽144/M | ₽575/M | ₽5 753 |
| Gemini 3 Pro | Gemini 3 Pro | ₽144/M | ₽863/M | ₽7 191 |
| Gemini 3 Pro Image | gemini 3 pro image | ₽144/M | ₽863/M | ₽7 191 |
| gpt 4o | openai | ₽180/M | ₽719/M | ₽7 191 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽180/M | ₽719/M | ₽7 191 |
| gpt audio | openai | ₽180/M | ₽719/M | ₽7 191 |
| gpt 5.2 | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.2 chat | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.2 codex | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽216/M | ₽1 079/M | ₽9 708 |
| claude sonnet 4 | anthropic | ₽216/M | ₽1 079/M | ₽9 708 |
| claude sonnet 4.5 | anthropic | ₽216/M | ₽1 079/M | ₽9 708 |
| claude sonnet 4.6 | anthropic | ₽216/M | ₽1 079/M | ₽9 708 |
| Grok 3 | grok 3 | ₽216/M | ₽1 079/M | ₽9 708 |
| claude opus 4.5 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.6 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| gpt 5 image | openai | ₽719/M | ₽719/M | ₽17 977 |
| Claude 3.5 Sonnet | claude 3 5 sonnet | ₽431/M | ₽2 157/M | ₽19 415 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽719/M | ₽2 157/M | ₽25 168 |
| gpt 4 turbo | openai | ₽719/M | ₽2 157/M | ₽25 168 |
| o3 deep research | openai | ₽719/M | ₽2 876/M | ₽28 763 |
| O1 | openai | ₽1 079/M | ₽4 314/M | ₽43 145 |
| claude opus 4 | anthropic | ₽1 079/M | ₽5 393/M | ₽48 538 |
| o3 pro | openai | ₽1 438/M | ₽5 753/M | ₽57 526 |
| gpt 5 pro | openai | ₽1 079/M | ₽8 629/M | ₽64 717 |
| gpt 4 | openai | ₽2 157/M | ₽4 314/M | ₽64 717 |
| gpt 5.2 pro | openai | ₽1 510/M | ₽12 080/M | ₽90 604 |
| o1 pro | openai | ₽10 786/M | ₽43 145/M | ₽431 446 |
Текст и чат
оплата за токены · 133
▼
Текст и чат
оплата за токены · 133
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| gemma 3n e4b it | ₽1.44/M | ₽2.88/M | ₽43 | |
| Gemma 3 4B It | gemma 3 4b it | ₽1.22/M | ₽4.90/M | ₽49 |
| gemma 2 9b it | gemma 2 9b it | ₽2.16/M | ₽6.47/M | ₽76 |
| Qwen2.5 Coder 7B Instruct | qwen2.5 coder 7b instruct | ₽2.16/M | ₽6.47/M | ₽76 |
| gemma 3 12b it | ₽2.16/M | ₽7.19/M | ₽79 | |
| qwen 2.5 coder 32b instruct | qwen | ₽2.16/M | ₽7.91/M | ₽83 |
| gpt oss 20b | openai | ₽2.16/M | ₽10.07/M | ₽93 |
| qwen 2.5 7b instruct | qwen | ₽2.88/M | ₽7.19/M | ₽93 |
| gemma 3 27b it | ₽2.88/M | ₽10.79/M | ₽111 | |
| gpt oss 120b | openai | ₽2.80/M | ₽13.66/M | ₽124 |
| qwen3 235b a22b 2507 | qwen | ₽5.11/M | ₽7.19/M | ₽138 |
| Qwen Turbo | qwen turbo | ₽3.60/M | ₽14.38/M | ₽144 |
| Qwen2.5 VL 32B Instruct | Qwen | ₽3.60/M | ₽15.82/M | ₽151 |
| qwen3 14b | qwen | ₽3.60/M | ₽15.82/M | ₽151 |
| qwen3 30b a3b | qwen | ₽4.31/M | ₽15.82/M | ₽165 |
| glm 4 32b | z ai | ₽7.19/M | ₽7.19/M | ₽180 |
| qwen3 coder 30b a3b instruct | qwen | ₽5.03/M | ₽19.42/M | ₽198 |
| Qwen3 4B | qwen3 4b | ₽5.14/M | ₽19.63/M | ₽201 |
| qwen3 32b | qwen | ₽5.75/M | ₽17.26/M | ₽201 |
| gpt 5 nano | openai | ₽3.60/M | ₽28.76/M | ₽216 |
| qwen3 8b | qwen | ₽3.60/M | ₽28.76/M | ₽216 |
| Gemini 2.0 Flash-Lite | gemini 2.0 flash lite | ₽5.39/M | ₽21.57/M | ₽216 |
| gpt oss safeguard 20b | openai | ₽5.39/M | ₽21.57/M | ₽216 |
| glm 4.7 flash | z ai | ₽4.31/M | ₽28.76/M | ₽230 |
| qwen3 30b a3b instruct 2507 | qwen | ₽5.75/M | ₽23.73/M | ₽234 |
| Gemini 2.0 Flash | gemini 2.0 flash | ₽7.19/M | ₽28.76/M | ₽288 |
| gemini 2.5 flash lite | ₽7.19/M | ₽28.76/M | ₽288 | |
| gpt 4.1 nano | openai | ₽7.19/M | ₽28.76/M | ₽288 |
| qwen3 vl 8b instruct | qwen | ₽5.75/M | ₽35.95/M | ₽295 |
| qwen3 vl 32b instruct | qwen | ₽7.48/M | ₽29.91/M | ₽299 |
| qwen 2.5 72b instruct | qwen | ₽8.63/M | ₽28.04/M | ₽313 |
| Qwen 2.5 VL 7B Instruct | Qwen 2.5 VL 7B Instruct | ₽14.38/M | ₽14.38/M | ₽360 |
| QwQ 32B | Qwen | ₽10.79/M | ₽28.76/M | ₽360 |
| qwen3 vl 30b a3b instruct | qwen | ₽9.35/M | ₽37.39/M | ₽374 |
| gpt 4o mini | openai | ₽10.79/M | ₽43.14/M | ₽431 |
| qwen2.5 vl 72b instruct | qwen | ₽10.79/M | ₽43.14/M | ₽431 |
| qwen3 coder next | qwen | ₽8.63/M | ₽53.93/M | ₽442 |
| Grok 4 | grok 4 | ₽14.38/M | ₽35.95/M | ₽467 |
| grok 4.1 | grok 4.1 | ₽14.38/M | ₽35.95/M | ₽467 |
| deepseek chat v3.1 | deepseek | ₽10.79/M | ₽53.93/M | ₽485 |
| glm 4.5 air | z ai | ₽9.35/M | ₽61.12/M | ₽493 |
| deepseek v3.2 | deepseek | ₽18.70/M | ₽27.32/M | ₽511 |
| Qwen3 Next 80B A3B | Qwen | ₽6.47/M | ₽79.10/M | ₽525 |
| qwen vl plus | qwen vl plus | ₽15.10/M | ₽45.30/M | ₽529 |
| deepseek v3.2 speciale | deepseek v3.2 speciale | ₽19.42/M | ₽29.48/M | ₽536 |
| qwen3.5 397b a17b | qwen | ₽10.79/M | ₽71.91/M | ₽575 |
| deepseek chat | deepseek | ₽13.66/M | ₽62.56/M | ₽586 |
| deepseek v3.1 terminus | deepseek | ₽15.10/M | ₽56.81/M | ₽586 |
| qwen3 vl 235b a22b | qwen3 vl 235b a22b | ₽14.38/M | ₽63.28/M | ₽604 |
| Grok 3 Mini | grok 3 mini | ₽21.57/M | ₽35.95/M | ₽611 |
| qwen3 coder | qwen | ₽15.82/M | ₽71.91/M | ₽676 |
| minimax 01 | minimax | ₽14.38/M | ₽79.10/M | ₽683 |
| minimax m2 | minimax | ₽18.34/M | ₽71.91/M | ₽726 |
| minimax m2.1 | minimax | ₽19.42/M | ₽68.31/M | ₽730 |
| glm 4.6v | z ai | ₽21.57/M | ₽64.72/M | ₽755 |
| claude 3 haiku | anthropic | ₽17.98/M | ₽89.88/M | ₽809 |
| Grok Code Fast 1 | grok code fast 1 | ₽14.38/M | ₽108/M | ₽827 |
| minimax m2.5 | minimax | ₽21.57/M | ₽79.10/M | ₽827 |
| minimax m2 her | minimax | ₽21.57/M | ₽86.29/M | ₽863 |
| qwen3 235b a22b | qwen | ₽21.57/M | ₽86.29/M | ₽863 |
| qwen3 coder flash | qwen | ₽21.57/M | ₽108/M | ₽971 |
| qwen plus | qwen | ₽28.76/M | ₽86.29/M | ₽1 007 |
| glm 4.5 | z ai | ₽25.17/M | ₽111/M | ₽1 061 |
| gpt 5 mini | openai | ₽17.98/M | ₽144/M | ₽1 079 |
| gpt 5.1 codex mini | openai | ₽17.98/M | ₽144/M | ₽1 079 |
| glm 4.6 | z ai | ₽24.45/M | ₽122/M | ₽1 100 |
| gpt 4.1 mini | openai | ₽28.76/M | ₽115/M | ₽1 151 |
| glm 4.7 | z ai | ₽27.32/M | ₽122/M | ₽1 158 |
| gemma 2 27b it | ₽46.74/M | ₽46.74/M | ₽1 169 | |
| deepseek r1 | deepseek | ₽28.76/M | ₽126/M | ₽1 204 |
| kimi k2 | moonshotai | ₽28.76/M | ₽126/M | ₽1 204 |
| gpt 3.5 turbo | openai | ₽35.95/M | ₽108/M | ₽1 258 |
| gemini 2.5 flash | ₽21.57/M | ₽180/M | ₽1 330 | |
| gemini 2.5 flash image | ₽21.57/M | ₽180/M | ₽1 330 | |
| glm 5 | z ai | ₽21.57/M | ₽183/M | ₽1 348 |
| minimax m1 | minimax | ₽28.76/M | ₽158/M | ₽1 366 |
| kimi k2.5 | moonshotai | ₽16.54/M | ₽216/M | ₽1 409 |
| Qwen3.5 Plus | qwen3.5 plus | ₽28.76/M | ₽173/M | ₽1 438 |
| glm 4.5v | z ai | ₽43.14/M | ₽129/M | ₽1 510 |
| morph · morph-v3-fast | morph | ₽57.53/M | ₽86.29/M | ₽1 582 |
| gpt audio mini | openai | ₽43.14/M | ₽173/M | ₽1 726 |
| gemini 3 flash | gemini 3 flash | ₽35.95/M | ₽216/M | ₽1 798 |
| morph · morph-v3-large | morph | ₽64.72/M | ₽137/M | ₽1 977 |
| qwen vl max | qwen vl max | ₽57.53/M | ₽230/M | ₽2 301 |
| claude 3.5 haiku | anthropic | ₽57.53/M | ₽288/M | ₽2 589 |
| o3 mini | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| o3 mini high | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| o4 mini | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| o4 mini high | openai | ₽79.10/M | ₽316/M | ₽3 164 |
| claude haiku 4.5 | anthropic | ₽71.91/M | ₽360/M | ₽3 236 |
| qwen3 coder plus | qwen | ₽71.91/M | ₽360/M | ₽3 236 |
| qwen3 max | qwen | ₽86.29/M | ₽431/M | ₽3 883 |
| gpt 5 image mini | openai | ₽180/M | ₽144/M | ₽4 314 |
| Qwen Max | qwen max | ₽115/M | ₽460/M | ₽4 602 |
| gemini 2.5 pro | ₽89.88/M | ₽719/M | ₽5 393 | |
| gpt 5 | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5 chat | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5 codex | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 chat | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 codex | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 5.1 codex max | openai | ₽89.88/M | ₽719/M | ₽5 393 |
| gpt 3.5 turbo 16k | openai | ₽216/M | ₽288/M | ₽5 753 |
| gpt 4.1 | openai | ₽144/M | ₽575/M | ₽5 753 |
| O3 | openai | ₽144/M | ₽575/M | ₽5 753 |
| o4 mini deep research | openai | ₽144/M | ₽575/M | ₽5 753 |
| Gemini 3 Pro | Gemini 3 Pro | ₽144/M | ₽863/M | ₽7 191 |
| Gemini 3 Pro Image | gemini 3 pro image | ₽144/M | ₽863/M | ₽7 191 |
| gpt 4o | openai | ₽180/M | ₽719/M | ₽7 191 |
| GPT 4o Audio Preview | gpt 4o audio preview | ₽180/M | ₽719/M | ₽7 191 |
| gpt audio | openai | ₽180/M | ₽719/M | ₽7 191 |
| gpt 5.2 | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.2 chat | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| gpt 5.2 codex | openai | ₽126/M | ₽1 007/M | ₽7 550 |
| Claude 3.7 Sonnet | claude 3 7 sonnet | ₽216/M | ₽1 079/M | ₽9 708 |
| claude sonnet 4 | anthropic | ₽216/M | ₽1 079/M | ₽9 708 |
| claude sonnet 4.5 | anthropic | ₽216/M | ₽1 079/M | ₽9 708 |
| claude sonnet 4.6 | anthropic | ₽216/M | ₽1 079/M | ₽9 708 |
| Grok 3 | grok 3 | ₽216/M | ₽1 079/M | ₽9 708 |
| claude opus 4.5 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| claude opus 4.6 | anthropic | ₽360/M | ₽1 798/M | ₽16 179 |
| gpt 5 image | openai | ₽719/M | ₽719/M | ₽17 977 |
| Claude 3.5 Sonnet | claude 3 5 sonnet | ₽431/M | ₽2 157/M | ₽19 415 |
| GPT 4 1106 Preview | gpt 4 1106 preview | ₽719/M | ₽2 157/M | ₽25 168 |
| gpt 4 turbo | openai | ₽719/M | ₽2 157/M | ₽25 168 |
| o3 deep research | openai | ₽719/M | ₽2 876/M | ₽28 763 |
| O1 | openai | ₽1 079/M | ₽4 314/M | ₽43 145 |
| claude opus 4 | anthropic | ₽1 079/M | ₽5 393/M | ₽48 538 |
| o3 pro | openai | ₽1 438/M | ₽5 753/M | ₽57 526 |
| gpt 5 pro | openai | ₽1 079/M | ₽8 629/M | ₽64 717 |
| gpt 4 | openai | ₽2 157/M | ₽4 314/M | ₽64 717 |
| gpt 5.2 pro | openai | ₽1 510/M | ₽12 080/M | ₽90 604 |
| o1 pro | openai | ₽10 786/M | ₽43 145/M | ₽431 446 |
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 133 моделей AI API. Средняя цена — ₽357/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽1.22/M (Gemma 3 4B It).
Сравните цены на gemma 3n e4b it , Gemma 3 4B It , gemma 2 9b it , Qwen2.5 Coder 7B Instruct и gemma 3 12b it у других провайдеров или в каталоге агрегаторов . Данные обновлены 14.06.2026.