qwen 2.5 72b instruct
Самый дешёвый input qwen 2.5 72b instruct — ₽11.65/M у RU LLM (данные от 01.10.2026).
Цены API у 37 агрегаторов · by Qwen · llm · json_mode, function_calling, reasoning, prompt_caching · обновлено
| Провайдер | ID | Context | Capabilities | Input | Output | TCO/мес |
|---|---|---|---|---|---|---|
| ggwk1 | Qwen/Qwen2.5-72B-Instruct | 128K | — | — | — | — |
| ggwk1 | qwen2.5-72b-instruct | 128K | — | — | — | — |
| V-API | Qwen2.5-72B-Instruct | 128K | — | — | — | — |
| RU LLM 🇷🇺 | siliconflow/Qwen/Qwen2.5-72B-Instruct | 131K | — | ₽11.65/M | ₽23.31/M | ₽350 |
| Naga | qwen-2.5-72b-instruct | 33K | Reasoning, JSON mode, Tools | ₽14.98/M | ₽16.65/M | ₽383 +10% |
| RU LLM 🇷🇺 | nebius/Qwen/Qwen2.5-72B-Instruct | 131K | — | ₽29.14/M | ₽33.30/M | ₽749 +114% |
| RU LLM 🇷🇺 | parasail/Qwen/Qwen2.5-72B-Instruct | 131K | — | ₽29.14/M | ₽33.30/M | ₽749 +114% |
| RU LLM 🇷🇺 | deepinfra/Qwen/Qwen2.5-72B-Instruct | 131K | — | ₽29.14/M | ₽33.30/M | ₽749 +114% |
| AI Router 🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | JSON mode, Tools | ₽29.97/M | ₽33.30/M | ₽766 +119% |
| API VEGA 🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | JSON mode, Tools | ₽29.97/M | ₽33.30/M | ₽766 +119% |
| DeepInfra | Qwen/Qwen2.5-72B-Instruct | 33K | — | ₽29.97/M | ₽33.30/M | ₽766 +119% |
| KodikRouter 🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | — | ₽29.97/M | ₽33.30/M | ₽766 +119% |
| OpenRouter | qwen/qwen-2.5-72b-instruct | 33K | JSON mode, Tools | ₽29.97/M | ₽33.30/M | ₽766 +119% |
| RU LLM 🇷🇺 | airouter-cloud/qwen-2.5-72b-instruct | 131K | — | ₽33.30/M | ₽33.30/M | ₽832 +138% |
| KupiAPI 🇷🇺 | qwen/qwen-2.5-72b-instruct | 128K | — | ₽38.00/M | ₽42.00/M | ₽970 +177% |
| RouterAI 🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | — | ₽38.96/M | ₽43.29/M | ₽996 +185% |
| AgentPlatform 🇷🇺 | qwen/qwen-2.5-72b-instruct | 128K | — | ₽41.04/M | ₽43.20/M | ₽1 037 +197% |
| Apikley 🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | — | ₽28.80/M | ₽93.60/M | ₽1 044 +199% |
| Polza 🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | Tools, JSON mode | ₽42.07/M | ₽46.74/M | ₽1 075 +207% |
| SprutDock 🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | — | ₽44.40/M | ₽49.34/M | ₽1 135 +225% |
| AllTokens 🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | JSON mode, Tools | ₽45.00/M | ₽50.00/M | ₽1 150 +229% |
| Hubris 🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | — | ₽45.45/M | ₽50.49/M | ₽1 161 +232% |
| Caila 🇷🇺 | qwen/qwen-2.5-72b-instruct | 131K | Tools, JSON mode | ₽46.70/M | ₽51.89/M | ₽1 193 +241% |
| ProxyAPI 🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | Tools, JSON mode | ₽48.42/M | ₽53.68/M | ₽1 237 +254% |
| Neurly 🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | — | ₽48.73/M | ₽54.15/M | ₽1 245 +256% |
| SiliconFlow | Qwen/Qwen2.5-72B-Instruct | 128K | — | ₽51.22/M | ₽51.22/M | ₽1 281 +266% |
| RU LLM 🇷🇺 | baseten/Qwen/Qwen2.5-72B-Instruct | 131K | — | ₽49.95/M | ₽66.60/M | ₽1 332 +281% |
| RU OpenRouter 🇷🇺 | qwen/qwen-2.5-72b-instruct | 128K | — | ₽58.61/M | ₽65.12/M | ₽1 498 +328% |
| RU LLM 🇷🇺 | sambanova/Qwen2.5-72B-Instruct | 131K | — | ₽49.95/M | ₽99.89/M | ₽1 498 +329% |
| Store API 🇷🇺 | qwen/qwen-2.5-72b-instruct | 128K | — | ₽60.00/M | ₽70.00/M | ₽1 550 +343% |
| AiHubMix | Qwen/Qwen2.5-72B-Instruct | 0 | — | ₽66.60/M | ₽66.60/M | ₽1 665 +376% |
| BotHub 🇷🇺 Caps ELITE −37.2% | qwen-2.5-72b-instruct | 131K | — | ₽67.50/M
от ₽42.39/M | ₽75.00/M
от ₽47.10/M | ₽1 725 +393% |
| PPIO | qwen/qwen-2.5-72b-instruct | 32K | — | ₽49.61/M | ₽149/M | ₽1 736 +397% |
| Zveno 🇷🇺 −45% Себес | qwen/qwen-2.5-72b-instruct | 33K | — | ₽69.59/M
от ₽38.27/M | ₽77.33/M
от ₽42.53/M | ₽1 778 +409% |
| LLMost 🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | JSON mode, Tools | ₽72.00/M | ₽80.00/M | ₽1 840 +426% |
| AiHubMix | qwen2.5-72b-instruct | 0 | — | ₽66.60/M | ₽200/M | ₽2 331 +567% |
| DMX API | qwen2.5-72b-instruct | 128K | — | ₽66.60/M | ₽200/M | ₽2 331 +567% |
| Spectra.AI 🇷🇺 | qwen/qwen-2.5-72b-instruct | 128K | JSON mode, Tools | ₽96.76/M | ₽108/M | ₽2 473 +607% |
| DMX API | Qwen/Qwen2.5-72B-Instruct | 128K | — | ₽74.92/M | ₽225/M | ₽2 622 +650% |
| TokenTool 🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | Cache | ₽158/M | ₽192/M | ₽4 120 +1078% |
| V-API | qwen2.5-72b-instruct | 128K | — | ₽133/M | ₽400/M | ₽4 662 +1233% |
| o3.fan | qwen2.5-72b-instruct | 128K | — | ₽238/M | ₽238/M | ₽5 946 +1601% |
| 柏拉图 AI | qwen2.5-72b-instruct | 128K | — | ₽233/M | ₽699/M | ₽8 158 +2233% |
| oCoolAI | qwen2.5-72b-instruct | 128K | — | ₽316/M | ₽949/M | ₽11 072 +3067% |
| ZEN-AI | qwen2.5-72b-instruct | 128K | — | ₽344/M | ₽1 031/M | ₽12 033 +3342% |
| BurnCloud | qwen2.5-72b-instruct | 128K | — | ₽366/M | ₽1 099/M | ₽12 820 +3567% |
| VseGPT 🇷🇺 | qwen/qwen-2.5-72b-instruct | 128K | — | ₽600/M | ₽600/M | ₽15 000 +4190% |
Профиль расчёта: 25M · 80/20 · ₽
| Провайдер | ID | Context | Capabilities | Input | Output | TCO/мес |
|---|---|---|---|---|---|---|
| ggwk1 | Qwen/Qwen2.5-72B-Instruct | 128K | — | — | — | — |
| ggwk1 | qwen2.5-72b-instruct | 128K | — | — | — | — |
| V-API | Qwen2.5-72B-Instruct | 128K | — | — | — | — |
| RU LLM🇷🇺Сайт ↗ | siliconflow/Qwen/Qwen2.5-72B-Instruct | 131K | — | ₽11.65/M | ₽23.31/M | ₽350 |
| Naga | qwen-2.5-72b-instruct | 33K | Reasoning, JSON mode, Tools | ₽14.98/M | ₽16.65/M | ₽383 |
| RU LLM🇷🇺RU minСайт ↗ | nebius/Qwen/Qwen2.5-72B-Instruct | 131K | — | ₽29.14/M | ₽33.30/M | ₽749 |
| RU LLM🇷🇺RU minСайт ↗ | parasail/Qwen/Qwen2.5-72B-Instruct | 131K | — | ₽29.14/M | ₽33.30/M | ₽749 |
| RU LLM🇷🇺RU minСайт ↗ | deepinfra/Qwen/Qwen2.5-72B-Instruct | 131K | — | ₽29.14/M | ₽33.30/M | ₽749 |
| AI Router🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | JSON mode, Tools | ₽29.97/M | ₽33.30/M | ₽766 |
| API VEGA🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | JSON mode, Tools | ₽29.97/M | ₽33.30/M | ₽766 |
| DeepInfra | Qwen/Qwen2.5-72B-Instruct | 33K | — | ₽29.97/M | ₽33.30/M | ₽766 |
| KodikRouter🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | — | ₽29.97/M | ₽33.30/M | ₽766 |
| OpenRouter | qwen/qwen-2.5-72b-instruct | 33K | JSON mode, Tools | ₽29.97/M | ₽33.30/M | ₽766 |
| RU LLM🇷🇺RU minСайт ↗ | airouter-cloud/qwen-2.5-72b-instruct | 131K | — | ₽33.30/M | ₽33.30/M | ₽832 |
| KupiAPI🇷🇺 | qwen/qwen-2.5-72b-instruct | 128K | — | ₽38.00/M | ₽42.00/M | ₽970 |
| RouterAI🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | — | ₽38.96/M | ₽43.29/M | ₽996 |
| AgentPlatform🇷🇺 | qwen/qwen-2.5-72b-instruct | 128K | — | ₽41.04/M | ₽43.20/M | ₽1 037 |
| Apikley🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | — | ₽28.80/M | ₽93.60/M | ₽1 044 |
| Polza🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | Tools, JSON mode | ₽42.07/M | ₽46.74/M | ₽1 075 |
| SprutDock🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | — | ₽44.40/M | ₽49.34/M | ₽1 135 |
| AllTokens🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | JSON mode, Tools | ₽45.00/M | ₽50.00/M | ₽1 150 |
| Hubris🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | — | ₽45.45/M | ₽50.49/M | ₽1 161 |
| Caila🇷🇺 | qwen/qwen-2.5-72b-instruct | 131K | Tools, JSON mode | ₽46.70/M | ₽51.89/M | ₽1 193 |
| ProxyAPI🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | Tools, JSON mode | ₽48.42/M | ₽53.68/M | ₽1 237 |
| Neurly🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | — | ₽48.73/M | ₽54.15/M | ₽1 245 |
| SiliconFlow | Qwen/Qwen2.5-72B-Instruct | 128K | — | ₽51.22/M | ₽51.22/M | ₽1 281 |
| RU LLM🇷🇺RU minСайт ↗ | baseten/Qwen/Qwen2.5-72B-Instruct | 131K | — | ₽49.95/M | ₽66.60/M | ₽1 332 |
| RU OpenRouter🇷🇺 | qwen/qwen-2.5-72b-instruct | 128K | — | ₽58.61/M | ₽65.12/M | ₽1 498 |
| RU LLM🇷🇺RU minСайт ↗ | sambanova/Qwen2.5-72B-Instruct | 131K | — | ₽49.95/M | ₽99.89/M | ₽1 498 |
| Store API🇷🇺 | qwen/qwen-2.5-72b-instruct | 128K | — | ₽60.00/M | ₽70.00/M | ₽1 550 |
| AiHubMix | Qwen/Qwen2.5-72B-Instruct | 0 | — | ₽66.60/M | ₽66.60/M | ₽1 665 |
| BotHub🇷🇺Caps ELITE −37.2% | qwen-2.5-72b-instruct | 131K | — | ₽67.50/M от ₽42.39/M | ₽75.00/M от ₽47.10/M | ₽1 725 |
| PPIO | qwen/qwen-2.5-72b-instruct | 32K | — | ₽49.61/M | ₽149/M | ₽1 736 |
| Zveno🇷🇺−45% Себес | qwen/qwen-2.5-72b-instruct | 33K | — | ₽69.59/M от ₽38.27/M | ₽77.33/M от ₽42.53/M | ₽1 778 |
| LLMost🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | JSON mode, Tools | ₽72.00/M | ₽80.00/M | ₽1 840 |
| AiHubMix | qwen2.5-72b-instruct | 0 | — | ₽66.60/M | ₽200/M | ₽2 331 |
| DMX API | qwen2.5-72b-instruct | 128K | — | ₽66.60/M | ₽200/M | ₽2 331 |
| Spectra.AI🇷🇺 | qwen/qwen-2.5-72b-instruct | 128K | JSON mode, Tools | ₽96.76/M | ₽108/M | ₽2 473 |
| DMX API | Qwen/Qwen2.5-72B-Instruct | 128K | — | ₽74.92/M | ₽225/M | ₽2 622 |
| TokenTool🇷🇺 | qwen/qwen-2.5-72b-instruct | 33K | Cache | ₽158/M | ₽192/M | ₽4 120 |
| V-API | qwen2.5-72b-instruct | 128K | — | ₽133/M | ₽400/M | ₽4 662 |
| o3.fan | qwen2.5-72b-instruct | 128K | — | ₽238/M | ₽238/M | ₽5 946 |
| 柏拉图 AI | qwen2.5-72b-instruct | 128K | — | ₽233/M | ₽699/M | ₽8 158 |
| oCoolAI | qwen2.5-72b-instruct | 128K | — | ₽316/M | ₽949/M | ₽11 072 |
| ZEN-AI | qwen2.5-72b-instruct | 128K | — | ₽344/M | ₽1 031/M | ₽12 033 |
| BurnCloud | qwen2.5-72b-instruct | 128K | — | ₽366/M | ₽1 099/M | ₽12 820 |
| VseGPT🇷🇺 | qwen/qwen-2.5-72b-instruct | 128K | — | ₽600/M | ₽600/M | ₽15 000 |
Цена не сходится или нашли ошибку?
О модели и ценах
qwen 2.5 72b instruct — языковая модель (LLM) от Qwen. На AI-APISHKA собраны цены API у 37 агрегаторов (23 с оплатой из РФ). Поддерживает JSON mode, вызов инструментов, рассуждение, кэш промптов.
- Контекст
- 32K–131K токенов
- Max output
- 4K–33K токенов
- Модальности
- текст
- Провайдеры
- 37
Input: ₽11.65/M — ₽600/M
Output: ₽16.65/M — ₽1 099/M
Разброс цен input между провайдерами — 51×.
1 провайдер публикуют цену cache read.
Данные обновлены 1 октября 2026 г.
Самый дешёвый input — ₽11.65/M у RU LLM .
Частые вопросы
- Сколько стоит qwen 2.5 72b instruct через API?
- По данным AI-APISHKA от 1 октября 2026 г.: input от ₽11.65/M, output от ₽16.65/M за 1M токенов (разброс между провайдерами — 51×). Точные цены — в таблице на этой странице. Цены PAYG, без подписок.
- У скольких агрегаторов есть qwen 2.5 72b instruct?
- qwen 2.5 72b instruct доступна у 37 агрегаторов API, из них 23 с оплатой из РФ.
- Поддерживается ли prompt caching для qwen 2.5 72b instruct?
- 1 провайдер указывают отдельную цену cache read — см. колонку в таблице сравнения.
- Как часто обновляются цены?
- Каталог AI-APISHKA обновляется автоматически; последнее обновление — 1 октября 2026 г..