Poe
Сайт ↗Quora Poe: боты, поинты и API — не классический LLM-proxy
- Моделей
- 169
- Средняя цена
- ₽408/M
- Регион
- Зарубежный · сайт на английский
- Оплата
- USD (доллары), Подписка Poe
- Биллинг
- за токены
Сайт на английском · Биллинг не pay-per-token — см. блок «Как считаются цены»
Обновлено
Профиль расчёта: 25M · 80/20 · ₽
169 моделей
Текст и чат
оплата за токены · 133
▼
Текст и чат
оплата за токены · 133
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| qwen3.5 4b el | qwen3.5 4b el | ₽3.35/M | ₽5.87/M | ₽96 |
| qwen3.7 flash el | qwen3.7 flash el | ₽2.51/M | ₽10.90/M | ₽105 |
| nova micro 1.0 | nova micro 1.0 | ₽3.35/M | ₽13.41/M | ₽134 |
| gemma 4 26b a4b el | gemma 4 26b a4b el | ₽4.19/M | ₽24.31/M | ₽205 |
| qwen3.5 9b el | qwen3.5 9b el | ₽7.54/M | ₽10.90/M | ₽205 |
| GPT-5 Nano | gpt 5 nano | ₽3.78/M | ₽30.18/M | ₽226 |
| nova lite 1.0 | nova lite 1.0 | ₽5.78/M | ₽23.47/M | ₽233 |
| glm 4.7 flash n | glm 4.7 flash n | ₽5.87/M | ₽33.53/M | ₽285 |
| mimo v2 flash | xiaomi | ₽8.38/M | ₽25.15/M | ₽293 |
| mistral small 3 | mistral small 3 | ₽8.38/M | ₽25.15/M | ₽293 |
| gpt 4.1 nano | openai | ₽7.54/M | ₽30.18/M | ₽302 |
| qwen3.5 flash el | qwen3.5 flash el | ₽7.54/M | ₽30.85/M | ₽305 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.38/M | ₽33.53/M | ₽335 |
| deepseek v4 flash | deepseek | ₽11.74/M | ₽23.47/M | ₽352 |
| ds v4 flash 0731 el | ds v4 flash 0731 el | ₽11.74/M | ₽23.47/M | ₽352 |
| gemma 4 26b a4b | gemma 4 26b a4b | ₽10.90/M | ₽33.53/M | ₽386 |
| gemma 4 31b n | gemma 4 31b n | ₽11.74/M | ₽33.53/M | ₽402 |
| Dola-Seed 2.0 Mini | bytedance | ₽10.48/M | ₽41.92/M | ₽419 |
| GPT-4o Mini | gpt 4o mini | ₽11.32/M | ₽45.28/M | ₽453 |
| Hy3 | hy3 | ₽11.74/M | ₽48.63/M | ₽478 |
| deepseek v4 flash e | deepseek v4 flash e | ₽16.77/M | ₽33.53/M | ₽503 |
| gpt oss 120b | openai | ₽12.57/M | ₽50.30/M | ₽503 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽16.77/M | ₽41.92/M | ₽545 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽16.77/M | ₽41.92/M | ₽545 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽16.77/M | ₽41.92/M | ₽545 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽16.77/M | ₽41.92/M | ₽545 |
| deepseek v3.2 | deepseek | ₽23.47/M | ₽35.21/M | ₽645 |
| deepseek v3.1 | deepseek v3.1 | ₽17.60/M | ₽66.23/M | ₽683 |
| Grok 3 Mini | grok 3 mini | ₽25.15/M | ₽41.92/M | ₽713 |
| gpt 5.4 nano | openai | ₽15.09/M | ₽94.32/M | ₽773 |
| step 3.7 flash el | step 3.7 flash el | ₽16.77/M | ₽96.41/M | ₽817 |
| minimax m2.5 | minimax | ₽22.63/M | ₽79.64/M | ₽851 |
| deepseek v3.1 terminus | deepseek | ₽22.63/M | ₽83.84/M | ₽872 |
| glm 4.6v n | glm 4.6v n | ₽25.15/M | ₽75.45/M | ₽880 |
| qwen3 next 80b | qwen3 next 80b | ₽12.57/M | ₽126/M | ₽880 |
| gpt oss 120b cs | gpt oss 120b cs | ₽29.34/M | ₽62.88/M | ₽901 |
| Grok Code Fast 1 | grok code fast 1 | ₽16.77/M | ₽126/M | ₽964 |
| qwen3 coder next n | qwen3 coder next n | ₽16.77/M | ₽126/M | ₽964 |
| minimax m2 | minimax | ₽25.15/M | ₽101/M | ₽1 006 |
| minimax m2.1 | minimax | ₽25.15/M | ₽101/M | ₽1 006 |
| minimax m2.7 | minimax | ₽25.15/M | ₽101/M | ₽1 006 |
| minimax m3 | minimax | ₽25.15/M | ₽101/M | ₽1 006 |
| gemini 3.1 flash lite | ₽20.96/M | ₽126/M | ₽1 048 | |
| Nano Banana 2 Lite | ₽20.96/M | ₽126/M | ₽1 048 | |
| qwen3 vl 235b a22b i | qwen3 vl 235b a22b i | ₽25.15/M | ₽126/M | ₽1 132 |
| GPT-5 Mini | gpt 5 mini | ₽18.87/M | ₽151/M | ₽1 132 |
| gpt 4.1 mini | openai | ₽30.18/M | ₽121/M | ₽1 207 |
| gpt 3.5 turbo | openai | ₽37.72/M | ₽113/M | ₽1 320 |
| gpt 3.5 turbo raw | gpt 3.5 turbo raw | ₽37.72/M | ₽113/M | ₽1 320 |
| qwen3.7 plus | qwen | ₽33.53/M | ₽134/M | ₽1 341 |
| qwen3.5 plus el | qwen3.5 plus el | ₽30.18/M | ₽185/M | ₽1 529 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽25.15/M | ₽210/M | ₽1 551 |
| gemini 2.5 flash image | ₽25.15/M | ₽210/M | ₽1 551 | |
| gemini 3.5 flash lite | ₽25.15/M | ₽210/M | ₽1 551 | |
| Dola-Seed 2.0 Lite | bytedance | ₽26.20/M | ₽210/M | ₽1 572 |
| Kimi K2 | kimi k2 | ₽39.40/M | ₽168/M | ₽1 626 |
| deepseek v3.2 el | deepseek v3.2 el | ₽47.79/M | ₽143/M | ₽1 673 |
| Gemini 3 Flash | gemini 3 flash | ₽33.53/M | ₽201/M | ₽1 677 |
| glm 4.6 | z ai | ₽50.30/M | ₽184/M | ₽1 928 |
| glm 4.7 | z ai | ₽50.30/M | ₽184/M | ₽1 928 |
| nova lite 2 | nova lite 2 | ₽31.85/M | ₽265/M | ₽1 962 |
| mistral-medium-3.1 | mistral medium 3 1 | ₽43.60/M | ₽218/M | ₽1 962 |
| gemini 3.1 flash image | ₽41.92/M | ₽252/M | ₽2 096 | |
| qwen3.6 plus | qwen | ₽41.92/M | ₽252/M | ₽2 096 |
| Kimi K2.5 | kimi k2.5 | ₽50.30/M | ₽252/M | ₽2 264 |
| Seed 2.1 Turbo | seed 2 1 turbo | ₽52.82/M | ₽262/M | ₽2 368 |
| qwen3.5 397b a17b | qwen | ₽50.30/M | ₽302/M | ₽2 515 |
| Dola-Seed 2.0 Pro | bytedance | ₽52.40/M | ₽314/M | ₽2 620 |
| seed-2.0-code | seed 2 0 code | ₽52.40/M | ₽314/M | ₽2 620 |
| gpt 5.4 mini | openai | ₽56.59/M | ₽340/M | ₽2 829 |
| mimo v2.5 pro | mimo v2.5 pro | ₽83.84/M | ₽252/M | ₽2 934 |
| GLM-5 | glm 5 | ₽83.84/M | ₽268/M | ₽3 018 |
| grok 4.20 multi agent | x ai | ₽105/M | ₽210/M | ₽3 144 |
| grok 4.3 | x ai | ₽105/M | ₽210/M | ₽3 144 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽71.26/M | ₽356/M | ₽3 207 |
| kimi k2.6 | moonshotai | ₽79.64/M | ₽335/M | ₽3 270 |
| kimi k2.7 code | moonshotai | ₽79.64/M | ₽335/M | ₽3 270 |
| qwen3 vl 235b a22b t | qwen3 vl 235b a22b t | ₽82.16/M | ₽331/M | ₽3 299 |
| O3 Mini | o3 mini | ₽83.00/M | ₽332/M | ₽3 320 |
| o3 mini high | openai | ₽83.00/M | ₽332/M | ₽3 320 |
| O4 Mini | o4 mini | ₽83.00/M | ₽332/M | ₽3 320 |
| Inkling | inkling | ₽83.84/M | ₽340/M | ₽3 374 |
| qwen3 max preview el | qwen3 max preview el | ₽90.54/M | ₽402/M | ₽3 823 |
| Muse Spark 1.1 | muse spark 1.1 | ₽105/M | ₽356/M | ₽3 877 |
| qwen3 max el | qwen3 max el | ₽90.54/M | ₽463/M | ₽4 125 |
| qwen3 max thinking el | qwen3 max thinking el | ₽90.54/M | ₽463/M | ₽4 125 |
| glm 5.1 | z ai | ₽117/M | ₽369/M | ₽4 192 |
| deepseek v4 pro | deepseek | ₽146/M | ₽292/M | ₽4 376 |
| glm 5.2 | z ai | ₽126/M | ₽377/M | ₽4 401 |
| Qwen3.6 Max | qwen3.6 max | ₽109/M | ₽654/M | ₽5 449 |
| gpt 5.1 | openai | ₽94.32/M | ₽755/M | ₽5 659 |
| GPT-5 | gpt 5 | ₽94.32/M | ₽755/M | ₽5 659 |
| gemini 3.6 flash | ₽126/M | ₽629/M | ₽5 659 | |
| grok 4.5 | x ai | ₽168/M | ₽503/M | ₽5 869 |
| grok 4.6 | grok 4.6 | ₽168/M | ₽503/M | ₽5 869 |
| qwen3.8 max el | qwen3.8 max el | ₽168/M | ₽503/M | ₽5 869 |
| deepseek v4 pro e | deepseek v4 pro e | ₽201/M | ₽402/M | ₽6 036 |
| gpt 4.1 | openai | ₽151/M | ₽604/M | ₽6 036 |
| O3 | o3 | ₽151/M | ₽604/M | ₽6 036 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽105/M | ₽838/M | ₽6 288 |
| gemini 3.5 flash | ₽126/M | ₽755/M | ₽6 288 | |
| Gemini Omni Flash | ₽126/M | ₽755/M | ₽6 288 | |
| qwen3 max n | qwen3 max n | ₽177/M | ₽708/M | ₽7 080 |
| qwen3.7 max el | qwen3.7 max el | ₽210/M | ₽629/M | ₽7 336 |
| GPT-4o | gpt 4o | ₽189/M | ₽755/M | ₽7 545 |
| gpt 5.2 | openai | ₽132/M | ₽1 056/M | ₽7 923 |
| gpt 5.3 codex | openai | ₽132/M | ₽1 056/M | ₽7 923 |
| Mistral Medium | mistral medium | ₽226/M | ₽679/M | ₽7 923 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽168/M | ₽1 006/M | ₽8 384 |
| mistral large 2 | mistral large 2 | ₽252/M | ₽755/M | ₽8 803 |
| gpt 5.4 | openai | ₽189/M | ₽1 132/M | ₽9 432 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽214/M | ₽1 069/M | ₽9 620 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽214/M | ₽1 069/M | ₽9 620 |
| Grok 3 | grok 3 | ₽252/M | ₽1 258/M | ₽11 318 |
| Grok 4 | grok 4 | ₽252/M | ₽1 258/M | ₽11 318 |
| kimi k3 | moonshotai | ₽252/M | ₽1 258/M | ₽11 318 |
| kimi k3 el | kimi k3 el | ₽252/M | ₽1 258/M | ₽11 318 |
| nova premier 1.0 | nova premier 1.0 | ₽252/M | ₽1 258/M | ₽11 318 |
| Deepreasoning | deepreasoning | ₽419/M | ₽838/M | ₽12 575 |
| Claude Opus 4.5 | claude opus 4 5 | ₽356/M | ₽1 782/M | ₽16 034 |
| Claude Opus 4.6 | claude opus 4 6 | ₽356/M | ₽1 782/M | ₽16 034 |
| Claude Opus 4.7 | claude opus 4 7 | ₽356/M | ₽1 782/M | ₽16 034 |
| claude opus 4.8 | anthropic | ₽356/M | ₽1 782/M | ₽16 034 |
| fugu ultra v1.1 el | fugu ultra v1.1 el | ₽419/M | ₽2 515/M | ₽20 959 |
| gpt image 2 | gpt image 2 | ₽419/M | ₽2 683/M | ₽21 797 |
| gpt 4 turbo | openai | ₽755/M | ₽2 264/M | ₽26 408 |
| fugu ultra v1.0 el | fugu ultra v1.0 el | ₽629/M | ₽3 773/M | ₽31 439 |
| O1 | o1 | ₽1 132/M | ₽4 527/M | ₽45 272 |
| o3 pro | openai | ₽1 509/M | ₽6 036/M | ₽60 362 |
| gpt 5 pro | openai | ₽1 132/M | ₽9 054/M | ₽67 907 |
| gpt 5.2 pro | openai | ₽1 585/M | ₽12 676/M | ₽95 070 |
| gpt 5.4 pro | openai | ₽2 264/M | ₽13 581/M | ₽113 179 |
| o1 pro | openai | ₽11 318/M | ₽45 271/M | ₽452 715 |
Без публичной цены
нет данных в открытых источниках · 35
▼
Без публичной цены
нет данных в открытых источниках · 35
| Модель | Maker | Примечание |
|---|---|---|
| deepseek r1 di | deepseek r1 di | — |
| deepseek r1 n | deepseek r1 n | — |
| deepseek r1 turbo di | deepseek r1 turbo di | — |
| deepseek v3 di | deepseek v3 di | — |
| deepseek v3 turbo di | deepseek v3 turbo di | — |
| deepseek v4 pro t | deepseek v4 pro t | — |
| flux pro 1.1 t | flux pro 1.1 t | — |
| flux schnell t | flux schnell t | — |
| gpt oss 120b t | gpt oss 120b t | — |
| gpt oss 20b | openai | — |
| gpt oss 20b n | gpt oss 20b n | — |
| gpt oss 20b t | gpt oss 20b t | — |
| Ideogram Text to Image | ideogram | — |
| Ideogram V2A | ideogram | — |
| llama 3.1 8b di | llama 3.1 8b di | — |
| llama 3.1 8b fp16 | llama 3.1 8b fp16 | — |
| llama 3.3 70b n | llama 3.3 70b n | — |
| llama 3.3 70b t | llama 3.3 70b t | — |
| minimax m2.7 fw | minimax m2.7 fw | — |
| minimax m3 t | minimax m3 t | — |
| minimax speech 2.8 | minimax speech 2.8 | — |
| mistral 7b v0.3 di | mistral 7b v0.3 di | — |
| mixtral8x22b inst fw | mixtral8x22b inst fw | — |
| pearl gemma 4 31b | pearl gemma 4 31b | — |
| phi 4 di | phi 4 di | — |
| Python | python | — |
| qwen 2.5 7b t | qwen 2.5 7b t | — |
| qwen3 235b a22b di | qwen3 235b a22b di | — |
| qwen3 235b a22b n | qwen3 235b a22b n | — |
| qwen3 coder 480b n | qwen3 coder 480b n | — |
| qwen3.6 plus t | qwen3.6 plus t | — |
| qwen3.7 max t | qwen3.7 max t | — |
| Solar Pro 2 | solar pro 2 | — |
| Tako | tako | — |
| whisper v3 large t | whisper v3 large t | — |
Текст и чат
оплата за токены · 133
▼
Текст и чат
оплата за токены · 133
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| qwen3.5 4b el | qwen3.5 4b el | ₽3.35/M | ₽5.87/M | ₽96 |
| qwen3.7 flash el | qwen3.7 flash el | ₽2.51/M | ₽10.90/M | ₽105 |
| nova micro 1.0 | nova micro 1.0 | ₽3.35/M | ₽13.41/M | ₽134 |
| gemma 4 26b a4b el | gemma 4 26b a4b el | ₽4.19/M | ₽24.31/M | ₽205 |
| qwen3.5 9b el | qwen3.5 9b el | ₽7.54/M | ₽10.90/M | ₽205 |
| GPT-5 Nano | gpt 5 nano | ₽3.78/M | ₽30.18/M | ₽226 |
| nova lite 1.0 | nova lite 1.0 | ₽5.78/M | ₽23.47/M | ₽233 |
| glm 4.7 flash n | glm 4.7 flash n | ₽5.87/M | ₽33.53/M | ₽285 |
| mimo v2 flash | xiaomi | ₽8.38/M | ₽25.15/M | ₽293 |
| mistral small 3 | mistral small 3 | ₽8.38/M | ₽25.15/M | ₽293 |
| gpt 4.1 nano | openai | ₽7.54/M | ₽30.18/M | ₽302 |
| qwen3.5 flash el | qwen3.5 flash el | ₽7.54/M | ₽30.85/M | ₽305 |
| Gemini 2.5 Flash-Lite | gemini 2.5 flash lite | ₽8.38/M | ₽33.53/M | ₽335 |
| deepseek v4 flash | deepseek | ₽11.74/M | ₽23.47/M | ₽352 |
| ds v4 flash 0731 el | ds v4 flash 0731 el | ₽11.74/M | ₽23.47/M | ₽352 |
| gemma 4 26b a4b | gemma 4 26b a4b | ₽10.90/M | ₽33.53/M | ₽386 |
| gemma 4 31b n | gemma 4 31b n | ₽11.74/M | ₽33.53/M | ₽402 |
| Dola-Seed 2.0 Mini | bytedance | ₽10.48/M | ₽41.92/M | ₽419 |
| GPT-4o Mini | gpt 4o mini | ₽11.32/M | ₽45.28/M | ₽453 |
| Hy3 | hy3 | ₽11.74/M | ₽48.63/M | ₽478 |
| deepseek v4 flash e | deepseek v4 flash e | ₽16.77/M | ₽33.53/M | ₽503 |
| gpt oss 120b | openai | ₽12.57/M | ₽50.30/M | ₽503 |
| Grok 4 Fast | grok 4 fast non reasoning | ₽16.77/M | ₽41.92/M | ₽545 |
| Grok 4 Fast (reasoning) | grok 4 fast reasoning | ₽16.77/M | ₽41.92/M | ₽545 |
| Grok 4.1 Fast | grok 4 1 fast non reasoning | ₽16.77/M | ₽41.92/M | ₽545 |
| Grok 4.1 Fast (reasoning) | grok 4 1 fast reasoning | ₽16.77/M | ₽41.92/M | ₽545 |
| deepseek v3.2 | deepseek | ₽23.47/M | ₽35.21/M | ₽645 |
| deepseek v3.1 | deepseek v3.1 | ₽17.60/M | ₽66.23/M | ₽683 |
| Grok 3 Mini | grok 3 mini | ₽25.15/M | ₽41.92/M | ₽713 |
| gpt 5.4 nano | openai | ₽15.09/M | ₽94.32/M | ₽773 |
| step 3.7 flash el | step 3.7 flash el | ₽16.77/M | ₽96.41/M | ₽817 |
| minimax m2.5 | minimax | ₽22.63/M | ₽79.64/M | ₽851 |
| deepseek v3.1 terminus | deepseek | ₽22.63/M | ₽83.84/M | ₽872 |
| glm 4.6v n | glm 4.6v n | ₽25.15/M | ₽75.45/M | ₽880 |
| qwen3 next 80b | qwen3 next 80b | ₽12.57/M | ₽126/M | ₽880 |
| gpt oss 120b cs | gpt oss 120b cs | ₽29.34/M | ₽62.88/M | ₽901 |
| Grok Code Fast 1 | grok code fast 1 | ₽16.77/M | ₽126/M | ₽964 |
| qwen3 coder next n | qwen3 coder next n | ₽16.77/M | ₽126/M | ₽964 |
| minimax m2 | minimax | ₽25.15/M | ₽101/M | ₽1 006 |
| minimax m2.1 | minimax | ₽25.15/M | ₽101/M | ₽1 006 |
| minimax m2.7 | minimax | ₽25.15/M | ₽101/M | ₽1 006 |
| minimax m3 | minimax | ₽25.15/M | ₽101/M | ₽1 006 |
| gemini 3.1 flash lite | ₽20.96/M | ₽126/M | ₽1 048 | |
| Nano Banana 2 Lite | ₽20.96/M | ₽126/M | ₽1 048 | |
| qwen3 vl 235b a22b i | qwen3 vl 235b a22b i | ₽25.15/M | ₽126/M | ₽1 132 |
| GPT-5 Mini | gpt 5 mini | ₽18.87/M | ₽151/M | ₽1 132 |
| gpt 4.1 mini | openai | ₽30.18/M | ₽121/M | ₽1 207 |
| gpt 3.5 turbo | openai | ₽37.72/M | ₽113/M | ₽1 320 |
| gpt 3.5 turbo raw | gpt 3.5 turbo raw | ₽37.72/M | ₽113/M | ₽1 320 |
| qwen3.7 plus | qwen | ₽33.53/M | ₽134/M | ₽1 341 |
| qwen3.5 plus el | qwen3.5 plus el | ₽30.18/M | ₽185/M | ₽1 529 |
| Gemini 2.5 Flash | gemini 2.5 flash | ₽25.15/M | ₽210/M | ₽1 551 |
| gemini 2.5 flash image | ₽25.15/M | ₽210/M | ₽1 551 | |
| gemini 3.5 flash lite | ₽25.15/M | ₽210/M | ₽1 551 | |
| Dola-Seed 2.0 Lite | bytedance | ₽26.20/M | ₽210/M | ₽1 572 |
| Kimi K2 | kimi k2 | ₽39.40/M | ₽168/M | ₽1 626 |
| deepseek v3.2 el | deepseek v3.2 el | ₽47.79/M | ₽143/M | ₽1 673 |
| Gemini 3 Flash | gemini 3 flash | ₽33.53/M | ₽201/M | ₽1 677 |
| glm 4.6 | z ai | ₽50.30/M | ₽184/M | ₽1 928 |
| glm 4.7 | z ai | ₽50.30/M | ₽184/M | ₽1 928 |
| nova lite 2 | nova lite 2 | ₽31.85/M | ₽265/M | ₽1 962 |
| mistral-medium-3.1 | mistral medium 3 1 | ₽43.60/M | ₽218/M | ₽1 962 |
| gemini 3.1 flash image | ₽41.92/M | ₽252/M | ₽2 096 | |
| qwen3.6 plus | qwen | ₽41.92/M | ₽252/M | ₽2 096 |
| Kimi K2.5 | kimi k2.5 | ₽50.30/M | ₽252/M | ₽2 264 |
| Seed 2.1 Turbo | seed 2 1 turbo | ₽52.82/M | ₽262/M | ₽2 368 |
| qwen3.5 397b a17b | qwen | ₽50.30/M | ₽302/M | ₽2 515 |
| Dola-Seed 2.0 Pro | bytedance | ₽52.40/M | ₽314/M | ₽2 620 |
| seed-2.0-code | seed 2 0 code | ₽52.40/M | ₽314/M | ₽2 620 |
| gpt 5.4 mini | openai | ₽56.59/M | ₽340/M | ₽2 829 |
| mimo v2.5 pro | mimo v2.5 pro | ₽83.84/M | ₽252/M | ₽2 934 |
| GLM-5 | glm 5 | ₽83.84/M | ₽268/M | ₽3 018 |
| grok 4.20 multi agent | x ai | ₽105/M | ₽210/M | ₽3 144 |
| grok 4.3 | x ai | ₽105/M | ₽210/M | ₽3 144 |
| Claude Haiku 4.5 | claude haiku 4 5 | ₽71.26/M | ₽356/M | ₽3 207 |
| kimi k2.6 | moonshotai | ₽79.64/M | ₽335/M | ₽3 270 |
| kimi k2.7 code | moonshotai | ₽79.64/M | ₽335/M | ₽3 270 |
| qwen3 vl 235b a22b t | qwen3 vl 235b a22b t | ₽82.16/M | ₽331/M | ₽3 299 |
| O3 Mini | o3 mini | ₽83.00/M | ₽332/M | ₽3 320 |
| o3 mini high | openai | ₽83.00/M | ₽332/M | ₽3 320 |
| O4 Mini | o4 mini | ₽83.00/M | ₽332/M | ₽3 320 |
| Inkling | inkling | ₽83.84/M | ₽340/M | ₽3 374 |
| qwen3 max preview el | qwen3 max preview el | ₽90.54/M | ₽402/M | ₽3 823 |
| Muse Spark 1.1 | muse spark 1.1 | ₽105/M | ₽356/M | ₽3 877 |
| qwen3 max el | qwen3 max el | ₽90.54/M | ₽463/M | ₽4 125 |
| qwen3 max thinking el | qwen3 max thinking el | ₽90.54/M | ₽463/M | ₽4 125 |
| glm 5.1 | z ai | ₽117/M | ₽369/M | ₽4 192 |
| deepseek v4 pro | deepseek | ₽146/M | ₽292/M | ₽4 376 |
| glm 5.2 | z ai | ₽126/M | ₽377/M | ₽4 401 |
| Qwen3.6 Max | qwen3.6 max | ₽109/M | ₽654/M | ₽5 449 |
| gpt 5.1 | openai | ₽94.32/M | ₽755/M | ₽5 659 |
| GPT-5 | gpt 5 | ₽94.32/M | ₽755/M | ₽5 659 |
| gemini 3.6 flash | ₽126/M | ₽629/M | ₽5 659 | |
| grok 4.5 | x ai | ₽168/M | ₽503/M | ₽5 869 |
| grok 4.6 | grok 4.6 | ₽168/M | ₽503/M | ₽5 869 |
| qwen3.8 max el | qwen3.8 max el | ₽168/M | ₽503/M | ₽5 869 |
| deepseek v4 pro e | deepseek v4 pro e | ₽201/M | ₽402/M | ₽6 036 |
| gpt 4.1 | openai | ₽151/M | ₽604/M | ₽6 036 |
| O3 | o3 | ₽151/M | ₽604/M | ₽6 036 |
| Gemini 2.5 Pro | gemini 2.5 pro | ₽105/M | ₽838/M | ₽6 288 |
| gemini 3.5 flash | ₽126/M | ₽755/M | ₽6 288 | |
| Gemini Omni Flash | ₽126/M | ₽755/M | ₽6 288 | |
| qwen3 max n | qwen3 max n | ₽177/M | ₽708/M | ₽7 080 |
| qwen3.7 max el | qwen3.7 max el | ₽210/M | ₽629/M | ₽7 336 |
| GPT-4o | gpt 4o | ₽189/M | ₽755/M | ₽7 545 |
| gpt 5.2 | openai | ₽132/M | ₽1 056/M | ₽7 923 |
| gpt 5.3 codex | openai | ₽132/M | ₽1 056/M | ₽7 923 |
| Mistral Medium | mistral medium | ₽226/M | ₽679/M | ₽7 923 |
| Gemini 3.1 Pro | Gemini 3.1 Pro | ₽168/M | ₽1 006/M | ₽8 384 |
| mistral large 2 | mistral large 2 | ₽252/M | ₽755/M | ₽8 803 |
| gpt 5.4 | openai | ₽189/M | ₽1 132/M | ₽9 432 |
| Claude Sonnet 4.5 | claude sonnet 4 5 | ₽214/M | ₽1 069/M | ₽9 620 |
| Claude Sonnet 4.6 | claude sonnet 4 6 | ₽214/M | ₽1 069/M | ₽9 620 |
| Grok 3 | grok 3 | ₽252/M | ₽1 258/M | ₽11 318 |
| Grok 4 | grok 4 | ₽252/M | ₽1 258/M | ₽11 318 |
| kimi k3 | moonshotai | ₽252/M | ₽1 258/M | ₽11 318 |
| kimi k3 el | kimi k3 el | ₽252/M | ₽1 258/M | ₽11 318 |
| nova premier 1.0 | nova premier 1.0 | ₽252/M | ₽1 258/M | ₽11 318 |
| Deepreasoning | deepreasoning | ₽419/M | ₽838/M | ₽12 575 |
| Claude Opus 4.5 | claude opus 4 5 | ₽356/M | ₽1 782/M | ₽16 034 |
| Claude Opus 4.6 | claude opus 4 6 | ₽356/M | ₽1 782/M | ₽16 034 |
| Claude Opus 4.7 | claude opus 4 7 | ₽356/M | ₽1 782/M | ₽16 034 |
| claude opus 4.8 | anthropic | ₽356/M | ₽1 782/M | ₽16 034 |
| fugu ultra v1.1 el | fugu ultra v1.1 el | ₽419/M | ₽2 515/M | ₽20 959 |
| gpt image 2 | gpt image 2 | ₽419/M | ₽2 683/M | ₽21 797 |
| gpt 4 turbo | openai | ₽755/M | ₽2 264/M | ₽26 408 |
| fugu ultra v1.0 el | fugu ultra v1.0 el | ₽629/M | ₽3 773/M | ₽31 439 |
| O1 | o1 | ₽1 132/M | ₽4 527/M | ₽45 272 |
| o3 pro | openai | ₽1 509/M | ₽6 036/M | ₽60 362 |
| gpt 5 pro | openai | ₽1 132/M | ₽9 054/M | ₽67 907 |
| gpt 5.2 pro | openai | ₽1 585/M | ₽12 676/M | ₽95 070 |
| gpt 5.4 pro | openai | ₽2 264/M | ₽13 581/M | ₽113 179 |
| o1 pro | openai | ₽11 318/M | ₽45 271/M | ₽452 715 |
Без публичной цены
нет данных в открытых источниках · 35
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Без публичной цены
нет данных в открытых источниках · 35
| Модель | Maker | Примечание |
|---|---|---|
| deepseek r1 di | deepseek r1 di | — |
| deepseek r1 n | deepseek r1 n | — |
| deepseek r1 turbo di | deepseek r1 turbo di | — |
| deepseek v3 di | deepseek v3 di | — |
| deepseek v3 turbo di | deepseek v3 turbo di | — |
| deepseek v4 pro t | deepseek v4 pro t | — |
| flux pro 1.1 t | flux pro 1.1 t | — |
| flux schnell t | flux schnell t | — |
| gpt oss 120b t | gpt oss 120b t | — |
| gpt oss 20b | openai | — |
| gpt oss 20b n | gpt oss 20b n | — |
| gpt oss 20b t | gpt oss 20b t | — |
| Ideogram Text to Image | ideogram | — |
| Ideogram V2A | ideogram | — |
| llama 3.1 8b di | llama 3.1 8b di | — |
| llama 3.1 8b fp16 | llama 3.1 8b fp16 | — |
| llama 3.3 70b n | llama 3.3 70b n | — |
| llama 3.3 70b t | llama 3.3 70b t | — |
| minimax m2.7 fw | minimax m2.7 fw | — |
| minimax m3 t | minimax m3 t | — |
| minimax speech 2.8 | minimax speech 2.8 | — |
| mistral 7b v0.3 di | mistral 7b v0.3 di | — |
| mixtral8x22b inst fw | mixtral8x22b inst fw | — |
| pearl gemma 4 31b | pearl gemma 4 31b | — |
| phi 4 di | phi 4 di | — |
| Python | python | — |
| qwen 2.5 7b t | qwen 2.5 7b t | — |
| qwen3 235b a22b di | qwen3 235b a22b di | — |
| qwen3 235b a22b n | qwen3 235b a22b n | — |
| qwen3 coder 480b n | qwen3 coder 480b n | — |
| qwen3.6 plus t | qwen3.6 plus t | — |
| qwen3.7 max t | qwen3.7 max t | — |
| Solar Pro 2 | solar pro 2 | — |
| Tako | tako | — |
| whisper v3 large t | whisper v3 large t | — |
Как мы считаем цены
Poe — не классический pay-per-token агрегатор. API и подписки Quora используют поинты и лимиты ботов; стоимость запроса зависит от выбранного бота и тарифа Poe, а не только от числа токенов. Цены на AI-APISHKA для Poe — ориентир по доступным моделям; итоговый счёт смотрите в аккаунте Poe.
О провайдере
О сервисе
Poe — другая продуктовая категория: consumer bot platform + API, а не dev-first LLM router. На AI-APISHKA цены — ориентир; итоговый счёт зависит от бота, подписки и compute points в аккаунте Poe.
Как сравнивать на AI-APISHKA
Не сравнивайте Poe по ₽/1M с RouterAI/OpenRouter. Используйте для оценки доступности модели через Poe ecosystem.
Частые вопросы
- Poe API — OpenAI-compatible?
- Poe имеет собственный API для ботов и моделей — не drop-in замена OpenAI base_url для всех сценариев.
- Как Poe считает стоимость?
- Points, лимиты ботов и подписки Quora — не классический input/output $/1M. См. pricing_notes.
- Зачем Poe в каталоге AI-APISHKA?
- Чтобы видеть, какие модели доступны через Poe и ориентировочные цены; TCO — в аккаунте poe.com.
Способы оплаты и доступные валюты могут меняться — актуальная информация на сайте провайдера.
Цена не сходится или нашли ошибку?
Poe предлагает 169 моделей AI API. Средняя цена — ₽408/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽2.51/M (qwen3.7 flash el).
Сравните цены на qwen3.5 4b el , qwen3.7 flash el , nova micro 1.0 , gemma 4 26b a4b el и qwen3.5 9b el у других провайдеров или в каталоге агрегаторов . Данные обновлены 13.08.2026.