Poe
Сайт ↗Quora Poe: боты, поинты и API — не классический LLM-proxy
- Моделей
- 175
- Средняя цена
- ₽392/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 · ₽
Токенов/мес
In/Out
Валюта
Токенов/мес
In/Out
Валюта
25M токенов/мес · ввод 80% / вывод 20%Цены в ₽ · 1 USD = 83.2454 ₽ · 1 CNY = 12.4028 ₽ · 02.10.2026
175 моделей
Текст и чат
оплата за токены · 139
▼
Текст и чат
оплата за токены · 139
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| qwen3.5 4b el | qwen3.5 4b el | ₽3.36/M | ₽5.89/M | ₽97 |
| qwen3.7 flash el | qwen3.7 flash el | ₽2.52/M | ₽10.93/M | ₽105 |
| nova micro 1.0 | nova micro 1.0 | ₽3.36/M | ₽13.45/M | ₽135 |
| Ling 3.0 Flash | ling 3.0 flash | ₽5.04/M | ₽15.13/M | ₽177 |
| gemma 4 26b a4b el | gemma 4 26b a4b el | ₽4.20/M | ₽24.38/M | ₽206 |
| qwen3.5 9b el | qwen3.5 9b el | ₽7.57/M | ₽10.93/M | ₽206 |
| GPT-5 Nano | OpenAI | ₽3.79/M | ₽30.27/M | ₽227 |
| glm 5.3 flash el | glm 5.3 flash el | ₽6.31/M | ₽21.02/M | ₽231 |
| nova lite 1.0 | nova lite 1.0 | ₽5.80/M | ₽23.54/M | ₽234 |
| glm 4.7 flash n | glm 4.7 flash n | ₽5.89/M | ₽33.63/M | ₽286 |
| mistral small 3 | Mistral | ₽8.41/M | ₽25.22/M | ₽294 |
| Gpt 4.1 Nano | OpenAI | ₽7.57/M | ₽30.27/M | ₽303 |
| qwen3.5 flash el | qwen3.5 flash el | ₽7.57/M | ₽30.94/M | ₽306 |
| DeepSeek V3 | DeepSeek | ₽11.77/M | ₽23.54/M | ₽353 |
| mimo v2.6 flash el | mimo v2.6 flash el | ₽11.77/M | ₽23.54/M | ₽353 |
| MiMo-V2.6-Flash | Xiaomi | ₽11.77/M | ₽23.54/M | ₽353 |
| Gemma 4 26B A4B | gemma 4 26b a4b | ₽10.93/M | ₽33.63/M | ₽387 |
| gemma 4 31b n | gemma 4 31b n | ₽11.77/M | ₽33.63/M | ₽404 |
| Dola-Seed 2.0 Mini | ByteDance | ₽10.51/M | ₽42.05/M | ₽421 |
| xiaomimimo mimo v2 5 | xiaomimimo mimo v2 5 | ₽14.13/M | ₽28.25/M | ₽424 |
| GPT-4o Mini | OpenAI | ₽11.35/M | ₽45.41/M | ₽454 |
| Glm 5.3 Flash | glm 5.3 flash | ₽12.61/M | ₽42.05/M | ₽462 |
| qwen3.8 flash el | qwen3.8 flash el | ₽13.45/M | ₽39.52/M | ₽467 |
| Hy3 | Tencent | ₽11.77/M | ₽48.77/M | ₽479 |
| qwen3.8 27b el | qwen3.8 27b el | ₽14.29/M | ₽42.05/M | ₽496 |
| deepseek v4 flash e | DeepSeek | ₽16.82/M | ₽33.63/M | ₽504 |
| gpt oss 120b | OpenAI | ₽12.61/M | ₽50.46/M | ₽505 |
| deepseek v3.2 | DeepSeek | ₽21.86/M | ₽31.95/M | ₽597 |
| muse glimmer 30b el | muse glimmer 30b el | ₽16.82/M | ₽67.27/M | ₽673 |
| deepseek v3.1 | DeepSeek | ₽17.66/M | ₽66.43/M | ₽685 |
| Gpt 5.4 Nano | OpenAI | ₽15.13/M | ₽94.60/M | ₽776 |
| step 3.7 flash el | step 3.7 flash el | ₽16.82/M | ₽96.70/M | ₽820 |
| glm 4.6v n | glm 4.6v n | ₽25.22/M | ₽75.68/M | ₽883 |
| qwen3 next 80b | qwen3 next 80b | ₽12.61/M | ₽126/M | ₽883 |
| gpt oss 120b cs | OpenAI | ₽29.43/M | ₽63.07/M | ₽904 |
| qwen3 coder next n | qwen3 coder next n | ₽16.82/M | ₽126/M | ₽967 |
| deepseek v4.1 flash | DeepSeek | ₽25.22/M | ₽101/M | ₽1 009 |
| ds v4.1 flash el | ds v4.1 flash el | ₽25.22/M | ₽101/M | ₽1 009 |
| MiniMax M2.1 | MiniMax | ₽25.22/M | ₽101/M | ₽1 009 |
| MiniMax M2.5 | MiniMax | ₽25.22/M | ₽101/M | ₽1 009 |
| minimax m3 | MiniMax | ₽25.22/M | ₽101/M | ₽1 009 |
| Gemini 3.1 Flash Lite | ₽21.02/M | ₽126/M | ₽1 051 | |
| nano banana 2 lite | ₽21.02/M | ₽126/M | ₽1 051 | |
| mimo v2.6 pro el | mimo v2.6 pro el | ₽36.58/M | ₽73.16/M | ₽1 097 |
| MiMo-V2.6-Pro | Xiaomi | ₽36.58/M | ₽73.16/M | ₽1 097 |
| qwen3 vl 235b a22b i | qwen3 vl 235b a22b i | ₽25.22/M | ₽126/M | ₽1 135 |
| GPT-5 Mini | OpenAI | ₽18.92/M | ₽151/M | ₽1 135 |
| Gpt 4.1 Mini | OpenAI | ₽30.27/M | ₽121/M | ₽1 211 |
| ds v4 flash 0731 el | ds v4 flash 0731 el | ₽35.65/M | ₽107/M | ₽1 248 |
| deepseek v4 flash | DeepSeek | ₽36.99/M | ₽111/M | ₽1 295 |
| deepseek vision exp | DeepSeek | ₽36.99/M | ₽111/M | ₽1 295 |
| gpt 3.5 turbo | OpenAI | ₽37.84/M | ₽114/M | ₽1 324 |
| gpt 3.5 turbo raw | OpenAI | ₽37.84/M | ₽114/M | ₽1 324 |
| qwen3.5 plus el | qwen3.5 plus el | ₽30.27/M | ₽186/M | ₽1 534 |
| Gemini 3.5 Flash Lite | ₽25.22/M | ₽210/M | ₽1 556 | |
| Dola-Seed 2.0 Lite | ByteDance | ₽26.28/M | ₽210/M | ₽1 577 |
| Kimi K2 0711 | MoonshotAI | ₽39.52/M | ₽168/M | ₽1 631 |
| deepseek v3.2 el | DeepSeek | ₽47.93/M | ₽144/M | ₽1 678 |
| gemini 3 flash | ₽33.63/M | ₽202/M | ₽1 682 | |
| GLM 4.6 | Z.ai | ₽50.46/M | ₽185/M | ₽1 934 |
| nova lite 2 | nova lite 2 | ₽31.95/M | ₽266/M | ₽1 968 |
| seed 2 1 turbo | seed 2 1 turbo | ₽52.98/M | ₽263/M | ₽2 375 |
| Hy4 preview | Tencent | ₽70.13/M | ₽210/M | ₽2 454 |
| qwen3.5 397b a17b | Qwen | ₽50.46/M | ₽303/M | ₽2 523 |
| Dola-Seed 2.0 Pro | ByteDance | ₽52.55/M | ₽315/M | ₽2 628 |
| seed-2.0-code | seed 2 0 code | ₽52.55/M | ₽315/M | ₽2 628 |
| step 5 preview el | step 5 preview el | ₽84.09/M | ₽227/M | ₽2 817 |
| Gpt 5.4 Mini | OpenAI | ₽56.76/M | ₽341/M | ₽2 838 |
| Gemini 3.6 Flash | ₽63.07/M | ₽315/M | ₽2 838 | |
| Gemini 3.7 Flash | ₽63.07/M | ₽315/M | ₽2 838 | |
| Gemini 3.8 Flash | ₽63.07/M | ₽315/M | ₽2 838 | |
| MiMo-V2.5-Pro | Xiaomi | ₽84.09/M | ₽252/M | ₽2 943 |
| Grok 4.20 Multi-Agent | xAI | ₽105/M | ₽210/M | ₽3 153 |
| grok 4.3 | xAI | ₽105/M | ₽210/M | ₽3 153 |
| Claude Haiku 4.5 | Anthropic | ₽71.47/M | ₽357/M | ₽3 216 |
| Kimi K2.6 | kimi k2.6 | ₽79.88/M | ₽336/M | ₽3 279 |
| Kimi K2.7 Code | kimi k2.7 code | ₽79.88/M | ₽336/M | ₽3 279 |
| kimi k2.7 code n | kimi k2.7 code n | ₽79.88/M | ₽336/M | ₽3 279 |
| qwen3 vl 235b a22b t | qwen3 vl 235b a22b t | ₽82.40/M | ₽332/M | ₽3 309 |
| O3 Mini | OpenAI | ₽83.25/M | ₽333/M | ₽3 330 |
| o3 Mini High | OpenAI | ₽83.25/M | ₽333/M | ₽3 330 |
| O4 Mini | OpenAI | ₽83.25/M | ₽333/M | ₽3 330 |
| Inkling | inkling | ₽84.09/M | ₽341/M | ₽3 384 |
| qwen3 max preview el | qwen3 max preview el | ₽90.81/M | ₽404/M | ₽3 834 |
| Deepseek V4 Pro | DeepSeek | ₽111/M | ₽333/M | ₽3 885 |
| deepseek v4 pro 0813 el | DeepSeek | ₽111/M | ₽333/M | ₽3 885 |
| Muse Spark 1.1 | Meta | ₽105/M | ₽357/M | ₽3 889 |
| qwen3 max el | qwen3 max el | ₽90.81/M | ₽464/M | ₽4 137 |
| qwen3 max thinking el | qwen3 max thinking el | ₽90.81/M | ₽464/M | ₽4 137 |
| Glm 5.1 | glm 5.1 | ₽118/M | ₽370/M | ₽4 204 |
| glm 5.2 n | glm 5.2 n | ₽118/M | ₽370/M | ₽4 204 |
| Glm 5.3 | glm 5.3 | ₽118/M | ₽370/M | ₽4 204 |
| glm 5.3 el | glm 5.3 el | ₽118/M | ₽370/M | ₽4 204 |
| Glm 5.2 | glm 5.2 | ₽126/M | ₽378/M | ₽4 415 |
| Qwen3.6 Max | qwen3.6 max | ₽109/M | ₽656/M | ₽5 466 |
| Gpt 5.1 | OpenAI | ₽94.60/M | ₽757/M | ₽5 676 |
| GPT-5 | OpenAI | ₽94.60/M | ₽757/M | ₽5 676 |
| grok 4.5 | xAI | ₽168/M | ₽505/M | ₽5 886 |
| Grok 4.6 | xAI | ₽168/M | ₽505/M | ₽5 886 |
| Grok 4.7 | xAI | ₽168/M | ₽505/M | ₽5 886 |
| qwen3.8 2.4t a95b n | qwen3.8 2.4t a95b n | ₽168/M | ₽505/M | ₽5 886 |
| qwen3.8 max el | qwen3.8 max el | ₽168/M | ₽505/M | ₽5 886 |
| deepseek v4 pro e | DeepSeek | ₽202/M | ₽404/M | ₽6 054 |
| Gpt 4.1 | OpenAI | ₽151/M | ₽605/M | ₽6 054 |
| O3 | OpenAI | ₽151/M | ₽605/M | ₽6 054 |
| Gemini 3.5 Flash | ₽126/M | ₽757/M | ₽6 307 | |
| Gemini Omni Flash 1.1 | ₽126/M | ₽757/M | ₽6 307 | |
| qwen3 max n | qwen3 max n | ₽177/M | ₽711/M | ₽7 101 |
| qwen3.7 max el | qwen3.7 max el | ₽210/M | ₽631/M | ₽7 358 |
| GPT-4o | OpenAI | ₽189/M | ₽757/M | ₽7 568 |
| Claude Sonnet 5.5 | Anthropic | ₽168/M | ₽841/M | ₽7 568 |
| gpt 6.1 sol | OpenAI | ₽168/M | ₽841/M | ₽7 568 |
| Gpt 5.2 | OpenAI | ₽132/M | ₽1 059/M | ₽7 946 |
| gpt 5.3 codex | OpenAI | ₽132/M | ₽1 059/M | ₽7 946 |
| Mistral Medium | Mistral | ₽227/M | ₽681/M | ₽7 946 |
| Gemini 3.1 Pro | ₽168/M | ₽1 009/M | ₽8 409 | |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽168/M | ₽1 009/M | ₽8 409 | |
| mistral large 2 | Mistral | ₽252/M | ₽757/M | ₽8 829 |
| Gpt 5.4 | OpenAI | ₽189/M | ₽1 135/M | ₽9 460 |
| Claude Sonnet 4.5 | Anthropic | ₽214/M | ₽1 072/M | ₽9 649 |
| Claude Sonnet 4.6 | Anthropic | ₽214/M | ₽1 072/M | ₽9 649 |
| mimo v2.6 pro ultraspeed el | mimo v2.6 pro ultraspeed el | ₽366/M | ₽732/M | ₽10 973 |
| Kimi K3 | kimi k3 | ₽252/M | ₽1 261/M | ₽11 352 |
| kimi k3 el | kimi k3 el | ₽252/M | ₽1 261/M | ₽11 352 |
| Deepreasoning | deepreasoning | ₽420/M | ₽841/M | ₽12 613 |
| Claude Opus 4 8 | Anthropic | ₽357/M | ₽1 787/M | ₽16 081 |
| Claude Opus 4.5 | Anthropic | ₽357/M | ₽1 787/M | ₽16 081 |
| Claude Opus 4.6 | Anthropic | ₽357/M | ₽1 787/M | ₽16 081 |
| Claude Opus 4.7 | Anthropic | ₽357/M | ₽1 787/M | ₽16 081 |
| fugu ultra v1.1 el | fugu ultra v1.1 el | ₽420/M | ₽2 523/M | ₽21 022 |
| gpt image 2 | OpenAI | ₽420/M | ₽2 523/M | ₽21 022 |
| gpt 4 turbo | OpenAI | ₽757/M | ₽2 270/M | ₽26 487 |
| fugu ultra v1.0 el | fugu ultra v1.0 el | ₽631/M | ₽3 784/M | ₽31 532 |
| O1 | OpenAI | ₽1 135/M | ₽4 541/M | ₽45 407 |
| o3 Pro | OpenAI | ₽1 514/M | ₽6 054/M | ₽60 542 |
| GPT-5 Pro | OpenAI | ₽1 135/M | ₽9 081/M | ₽68 110 |
| GPT-5.2 Pro | OpenAI | ₽1 589/M | ₽12 714/M | ₽95 354 |
| gpt 5.4 pro | OpenAI | ₽2 270/M | ₽13 622/M | ₽113 516 |
| o1-pro | OpenAI | ₽11 352/M | ₽45 407/M | ₽454 066 |
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 | — |
| deepseek r1 n | DeepSeek | — |
| deepseek r1 turbo di | DeepSeek | — |
| deepseek v3 di | DeepSeek | — |
| deepseek v3 turbo di | DeepSeek | — |
| deepseek v4 pro t | DeepSeek | — |
| flux pro 1.1 t | Black Forest Labs | — |
| flux schnell t | Black Forest Labs | — |
| gpt oss 120b t | OpenAI | — |
| gpt oss 20b | OpenAI | — |
| gpt oss 20b n | OpenAI | — |
| gpt oss 20b t | OpenAI | — |
| Ideogram | ideogram | — |
| Ideogram V2A | ideogram | — |
| llama 3.1 8b di | Meta | — |
| llama 3.1 8b fp16 | Meta | — |
| llama 3.3 70b n | Meta | — |
| llama 3.3 70b t | Meta | — |
| 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 | — |
| 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 | — |
| 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 · 139
▼
Текст и чат
оплата за токены · 139
| Модель | Maker | Input | Output | TCO/мес |
|---|---|---|---|---|
| qwen3.5 4b el | qwen3.5 4b el | ₽3.36/M | ₽5.89/M | ₽97 |
| qwen3.7 flash el | qwen3.7 flash el | ₽2.52/M | ₽10.93/M | ₽105 |
| nova micro 1.0 | nova micro 1.0 | ₽3.36/M | ₽13.45/M | ₽135 |
| Ling 3.0 Flash | ling 3.0 flash | ₽5.04/M | ₽15.13/M | ₽177 |
| gemma 4 26b a4b el | gemma 4 26b a4b el | ₽4.20/M | ₽24.38/M | ₽206 |
| qwen3.5 9b el | qwen3.5 9b el | ₽7.57/M | ₽10.93/M | ₽206 |
| GPT-5 Nano | OpenAI | ₽3.79/M | ₽30.27/M | ₽227 |
| glm 5.3 flash el | glm 5.3 flash el | ₽6.31/M | ₽21.02/M | ₽231 |
| nova lite 1.0 | nova lite 1.0 | ₽5.80/M | ₽23.54/M | ₽234 |
| glm 4.7 flash n | glm 4.7 flash n | ₽5.89/M | ₽33.63/M | ₽286 |
| mistral small 3 | Mistral | ₽8.41/M | ₽25.22/M | ₽294 |
| Gpt 4.1 Nano | OpenAI | ₽7.57/M | ₽30.27/M | ₽303 |
| qwen3.5 flash el | qwen3.5 flash el | ₽7.57/M | ₽30.94/M | ₽306 |
| DeepSeek V3 | DeepSeek | ₽11.77/M | ₽23.54/M | ₽353 |
| mimo v2.6 flash el | mimo v2.6 flash el | ₽11.77/M | ₽23.54/M | ₽353 |
| MiMo-V2.6-Flash | Xiaomi | ₽11.77/M | ₽23.54/M | ₽353 |
| Gemma 4 26B A4B | gemma 4 26b a4b | ₽10.93/M | ₽33.63/M | ₽387 |
| gemma 4 31b n | gemma 4 31b n | ₽11.77/M | ₽33.63/M | ₽404 |
| Dola-Seed 2.0 Mini | ByteDance | ₽10.51/M | ₽42.05/M | ₽421 |
| xiaomimimo mimo v2 5 | xiaomimimo mimo v2 5 | ₽14.13/M | ₽28.25/M | ₽424 |
| GPT-4o Mini | OpenAI | ₽11.35/M | ₽45.41/M | ₽454 |
| Glm 5.3 Flash | glm 5.3 flash | ₽12.61/M | ₽42.05/M | ₽462 |
| qwen3.8 flash el | qwen3.8 flash el | ₽13.45/M | ₽39.52/M | ₽467 |
| Hy3 | Tencent | ₽11.77/M | ₽48.77/M | ₽479 |
| qwen3.8 27b el | qwen3.8 27b el | ₽14.29/M | ₽42.05/M | ₽496 |
| deepseek v4 flash e | DeepSeek | ₽16.82/M | ₽33.63/M | ₽504 |
| gpt oss 120b | OpenAI | ₽12.61/M | ₽50.46/M | ₽505 |
| deepseek v3.2 | DeepSeek | ₽21.86/M | ₽31.95/M | ₽597 |
| muse glimmer 30b el | muse glimmer 30b el | ₽16.82/M | ₽67.27/M | ₽673 |
| deepseek v3.1 | DeepSeek | ₽17.66/M | ₽66.43/M | ₽685 |
| Gpt 5.4 Nano | OpenAI | ₽15.13/M | ₽94.60/M | ₽776 |
| step 3.7 flash el | step 3.7 flash el | ₽16.82/M | ₽96.70/M | ₽820 |
| glm 4.6v n | glm 4.6v n | ₽25.22/M | ₽75.68/M | ₽883 |
| qwen3 next 80b | qwen3 next 80b | ₽12.61/M | ₽126/M | ₽883 |
| gpt oss 120b cs | OpenAI | ₽29.43/M | ₽63.07/M | ₽904 |
| qwen3 coder next n | qwen3 coder next n | ₽16.82/M | ₽126/M | ₽967 |
| deepseek v4.1 flash | DeepSeek | ₽25.22/M | ₽101/M | ₽1 009 |
| ds v4.1 flash el | ds v4.1 flash el | ₽25.22/M | ₽101/M | ₽1 009 |
| MiniMax M2.1 | MiniMax | ₽25.22/M | ₽101/M | ₽1 009 |
| MiniMax M2.5 | MiniMax | ₽25.22/M | ₽101/M | ₽1 009 |
| minimax m3 | MiniMax | ₽25.22/M | ₽101/M | ₽1 009 |
| Gemini 3.1 Flash Lite | ₽21.02/M | ₽126/M | ₽1 051 | |
| nano banana 2 lite | ₽21.02/M | ₽126/M | ₽1 051 | |
| mimo v2.6 pro el | mimo v2.6 pro el | ₽36.58/M | ₽73.16/M | ₽1 097 |
| MiMo-V2.6-Pro | Xiaomi | ₽36.58/M | ₽73.16/M | ₽1 097 |
| qwen3 vl 235b a22b i | qwen3 vl 235b a22b i | ₽25.22/M | ₽126/M | ₽1 135 |
| GPT-5 Mini | OpenAI | ₽18.92/M | ₽151/M | ₽1 135 |
| Gpt 4.1 Mini | OpenAI | ₽30.27/M | ₽121/M | ₽1 211 |
| ds v4 flash 0731 el | ds v4 flash 0731 el | ₽35.65/M | ₽107/M | ₽1 248 |
| deepseek v4 flash | DeepSeek | ₽36.99/M | ₽111/M | ₽1 295 |
| deepseek vision exp | DeepSeek | ₽36.99/M | ₽111/M | ₽1 295 |
| gpt 3.5 turbo | OpenAI | ₽37.84/M | ₽114/M | ₽1 324 |
| gpt 3.5 turbo raw | OpenAI | ₽37.84/M | ₽114/M | ₽1 324 |
| qwen3.5 plus el | qwen3.5 plus el | ₽30.27/M | ₽186/M | ₽1 534 |
| Gemini 3.5 Flash Lite | ₽25.22/M | ₽210/M | ₽1 556 | |
| Dola-Seed 2.0 Lite | ByteDance | ₽26.28/M | ₽210/M | ₽1 577 |
| Kimi K2 0711 | MoonshotAI | ₽39.52/M | ₽168/M | ₽1 631 |
| deepseek v3.2 el | DeepSeek | ₽47.93/M | ₽144/M | ₽1 678 |
| gemini 3 flash | ₽33.63/M | ₽202/M | ₽1 682 | |
| GLM 4.6 | Z.ai | ₽50.46/M | ₽185/M | ₽1 934 |
| nova lite 2 | nova lite 2 | ₽31.95/M | ₽266/M | ₽1 968 |
| seed 2 1 turbo | seed 2 1 turbo | ₽52.98/M | ₽263/M | ₽2 375 |
| Hy4 preview | Tencent | ₽70.13/M | ₽210/M | ₽2 454 |
| qwen3.5 397b a17b | Qwen | ₽50.46/M | ₽303/M | ₽2 523 |
| Dola-Seed 2.0 Pro | ByteDance | ₽52.55/M | ₽315/M | ₽2 628 |
| seed-2.0-code | seed 2 0 code | ₽52.55/M | ₽315/M | ₽2 628 |
| step 5 preview el | step 5 preview el | ₽84.09/M | ₽227/M | ₽2 817 |
| Gpt 5.4 Mini | OpenAI | ₽56.76/M | ₽341/M | ₽2 838 |
| Gemini 3.6 Flash | ₽63.07/M | ₽315/M | ₽2 838 | |
| Gemini 3.7 Flash | ₽63.07/M | ₽315/M | ₽2 838 | |
| Gemini 3.8 Flash | ₽63.07/M | ₽315/M | ₽2 838 | |
| MiMo-V2.5-Pro | Xiaomi | ₽84.09/M | ₽252/M | ₽2 943 |
| Grok 4.20 Multi-Agent | xAI | ₽105/M | ₽210/M | ₽3 153 |
| grok 4.3 | xAI | ₽105/M | ₽210/M | ₽3 153 |
| Claude Haiku 4.5 | Anthropic | ₽71.47/M | ₽357/M | ₽3 216 |
| Kimi K2.6 | kimi k2.6 | ₽79.88/M | ₽336/M | ₽3 279 |
| Kimi K2.7 Code | kimi k2.7 code | ₽79.88/M | ₽336/M | ₽3 279 |
| kimi k2.7 code n | kimi k2.7 code n | ₽79.88/M | ₽336/M | ₽3 279 |
| qwen3 vl 235b a22b t | qwen3 vl 235b a22b t | ₽82.40/M | ₽332/M | ₽3 309 |
| O3 Mini | OpenAI | ₽83.25/M | ₽333/M | ₽3 330 |
| o3 Mini High | OpenAI | ₽83.25/M | ₽333/M | ₽3 330 |
| O4 Mini | OpenAI | ₽83.25/M | ₽333/M | ₽3 330 |
| Inkling | inkling | ₽84.09/M | ₽341/M | ₽3 384 |
| qwen3 max preview el | qwen3 max preview el | ₽90.81/M | ₽404/M | ₽3 834 |
| Deepseek V4 Pro | DeepSeek | ₽111/M | ₽333/M | ₽3 885 |
| deepseek v4 pro 0813 el | DeepSeek | ₽111/M | ₽333/M | ₽3 885 |
| Muse Spark 1.1 | Meta | ₽105/M | ₽357/M | ₽3 889 |
| qwen3 max el | qwen3 max el | ₽90.81/M | ₽464/M | ₽4 137 |
| qwen3 max thinking el | qwen3 max thinking el | ₽90.81/M | ₽464/M | ₽4 137 |
| Glm 5.1 | glm 5.1 | ₽118/M | ₽370/M | ₽4 204 |
| glm 5.2 n | glm 5.2 n | ₽118/M | ₽370/M | ₽4 204 |
| Glm 5.3 | glm 5.3 | ₽118/M | ₽370/M | ₽4 204 |
| glm 5.3 el | glm 5.3 el | ₽118/M | ₽370/M | ₽4 204 |
| Glm 5.2 | glm 5.2 | ₽126/M | ₽378/M | ₽4 415 |
| Qwen3.6 Max | qwen3.6 max | ₽109/M | ₽656/M | ₽5 466 |
| Gpt 5.1 | OpenAI | ₽94.60/M | ₽757/M | ₽5 676 |
| GPT-5 | OpenAI | ₽94.60/M | ₽757/M | ₽5 676 |
| grok 4.5 | xAI | ₽168/M | ₽505/M | ₽5 886 |
| Grok 4.6 | xAI | ₽168/M | ₽505/M | ₽5 886 |
| Grok 4.7 | xAI | ₽168/M | ₽505/M | ₽5 886 |
| qwen3.8 2.4t a95b n | qwen3.8 2.4t a95b n | ₽168/M | ₽505/M | ₽5 886 |
| qwen3.8 max el | qwen3.8 max el | ₽168/M | ₽505/M | ₽5 886 |
| deepseek v4 pro e | DeepSeek | ₽202/M | ₽404/M | ₽6 054 |
| Gpt 4.1 | OpenAI | ₽151/M | ₽605/M | ₽6 054 |
| O3 | OpenAI | ₽151/M | ₽605/M | ₽6 054 |
| Gemini 3.5 Flash | ₽126/M | ₽757/M | ₽6 307 | |
| Gemini Omni Flash 1.1 | ₽126/M | ₽757/M | ₽6 307 | |
| qwen3 max n | qwen3 max n | ₽177/M | ₽711/M | ₽7 101 |
| qwen3.7 max el | qwen3.7 max el | ₽210/M | ₽631/M | ₽7 358 |
| GPT-4o | OpenAI | ₽189/M | ₽757/M | ₽7 568 |
| Claude Sonnet 5.5 | Anthropic | ₽168/M | ₽841/M | ₽7 568 |
| gpt 6.1 sol | OpenAI | ₽168/M | ₽841/M | ₽7 568 |
| Gpt 5.2 | OpenAI | ₽132/M | ₽1 059/M | ₽7 946 |
| gpt 5.3 codex | OpenAI | ₽132/M | ₽1 059/M | ₽7 946 |
| Mistral Medium | Mistral | ₽227/M | ₽681/M | ₽7 946 |
| Gemini 3.1 Pro | ₽168/M | ₽1 009/M | ₽8 409 | |
| Nano Banana Pro (Gemini 3 Pro Image) | ₽168/M | ₽1 009/M | ₽8 409 | |
| mistral large 2 | Mistral | ₽252/M | ₽757/M | ₽8 829 |
| Gpt 5.4 | OpenAI | ₽189/M | ₽1 135/M | ₽9 460 |
| Claude Sonnet 4.5 | Anthropic | ₽214/M | ₽1 072/M | ₽9 649 |
| Claude Sonnet 4.6 | Anthropic | ₽214/M | ₽1 072/M | ₽9 649 |
| mimo v2.6 pro ultraspeed el | mimo v2.6 pro ultraspeed el | ₽366/M | ₽732/M | ₽10 973 |
| Kimi K3 | kimi k3 | ₽252/M | ₽1 261/M | ₽11 352 |
| kimi k3 el | kimi k3 el | ₽252/M | ₽1 261/M | ₽11 352 |
| Deepreasoning | deepreasoning | ₽420/M | ₽841/M | ₽12 613 |
| Claude Opus 4 8 | Anthropic | ₽357/M | ₽1 787/M | ₽16 081 |
| Claude Opus 4.5 | Anthropic | ₽357/M | ₽1 787/M | ₽16 081 |
| Claude Opus 4.6 | Anthropic | ₽357/M | ₽1 787/M | ₽16 081 |
| Claude Opus 4.7 | Anthropic | ₽357/M | ₽1 787/M | ₽16 081 |
| fugu ultra v1.1 el | fugu ultra v1.1 el | ₽420/M | ₽2 523/M | ₽21 022 |
| gpt image 2 | OpenAI | ₽420/M | ₽2 523/M | ₽21 022 |
| gpt 4 turbo | OpenAI | ₽757/M | ₽2 270/M | ₽26 487 |
| fugu ultra v1.0 el | fugu ultra v1.0 el | ₽631/M | ₽3 784/M | ₽31 532 |
| O1 | OpenAI | ₽1 135/M | ₽4 541/M | ₽45 407 |
| o3 Pro | OpenAI | ₽1 514/M | ₽6 054/M | ₽60 542 |
| GPT-5 Pro | OpenAI | ₽1 135/M | ₽9 081/M | ₽68 110 |
| GPT-5.2 Pro | OpenAI | ₽1 589/M | ₽12 714/M | ₽95 354 |
| gpt 5.4 pro | OpenAI | ₽2 270/M | ₽13 622/M | ₽113 516 |
| o1-pro | OpenAI | ₽11 352/M | ₽45 407/M | ₽454 066 |
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 | — |
| deepseek r1 n | DeepSeek | — |
| deepseek r1 turbo di | DeepSeek | — |
| deepseek v3 di | DeepSeek | — |
| deepseek v3 turbo di | DeepSeek | — |
| deepseek v4 pro t | DeepSeek | — |
| flux pro 1.1 t | Black Forest Labs | — |
| flux schnell t | Black Forest Labs | — |
| gpt oss 120b t | OpenAI | — |
| gpt oss 20b | OpenAI | — |
| gpt oss 20b n | OpenAI | — |
| gpt oss 20b t | OpenAI | — |
| Ideogram | ideogram | — |
| Ideogram V2A | ideogram | — |
| llama 3.1 8b di | Meta | — |
| llama 3.1 8b fp16 | Meta | — |
| llama 3.3 70b n | Meta | — |
| llama 3.3 70b t | Meta | — |
| 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 | — |
| 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 | — |
| 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 175 моделей AI API. Средняя цена — ₽392/M (25M токенов/мес · ввод 80% / вывод 20%). Самая низкая цена input — ₽2.52/M (qwen3.7 flash el).
Сравните цены на qwen3.5 4b el , qwen3.7 flash el , nova micro 1.0 , Ling 3.0 Flash и gemma 4 26b a4b el у других провайдеров или в каталоге агрегаторов . Данные обновлены 01.10.2026.