대화 / Quote
qvq-72b-preview API 가격
Alibaba Bailian · qvq-72b-preview
입력 · 캐시 미스
¥17.6 /千次
출력
¥0 /千次
캐시 히트 입력
— /千次
| 과금 | 위안 CNY · 千次 |
|---|---|
| 모달리티 | 텍스트 |
| 깊은 사고 | — |
| 검증일 | 2026-10-13 |
| 공식 가격 페이지 | help.aliyun.com/zh/model-studio/model-pricing ↗ |
원문 표기: 아래 메모는 모델 공식 원문(중국어)을 그대로 표시하며 번역하지 않았습니다.
多模态交互开发套件后付费（按量计费）：大模型대화基准为闲聊及插件 2.2 元/千次，该模型按 8x 推送次数折算，实际价 17.6 元/千次；非 token 单价官方已下线（开源小模型，百炼不再提供推理）
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- qwen3.8-max-prime ¥24 / ¥72
- qwen3.8-max ¥12 / ¥36
- qwen3.8-max-0902 ¥12 / ¥36
- qwen3.8-2.4t-a95b ¥12 / ¥36
- Qwen3.8-27B ¥3 / ¥12
- qwen3-max ¥2.5 / ¥10
- qwen3-max-2026-01-23 ¥2.5 / ¥10
- qwen3-max-2025-09-23 ¥6 / ¥24
- qwen3.8-flash ¥0.8 / ¥2.7
- qwen3.7-flash ¥0.2 / ¥0.8
- qwen-max ¥2.4 / ¥9.6
- qwen-plus ¥0.8 / ¥2
- qwen-plus-latest ¥0.8 / ¥2
- qwen-flash ¥0.15 / ¥1.5
- qwen-turbo ¥0.3 / ¥0.6
- qwen-long ¥0.5 / ¥2
- Qwen-Math-Plus ¥4 / ¥12
- Qwen-Math-Turbo ¥2 / ¥6
- qwen-mt-plus ¥1.8 / ¥5.4
- Qwen-MT-Turbo ¥0.7 / ¥1.95
- qwen-mt-flash ¥0.7 / ¥1.95
- qwen-mt-lite ¥0.6 / ¥1.6
- qwen-mt-uni ¥65 /백만 토큰
- qwen-deep-research ¥54 / ¥163
- decision-model-preview 무료
- tongyi-xiaomi-analysis-flash ¥0.2 / ¥0.4
- tongyi-xiaomi-analysis-pro ¥1 / ¥2.7
- Qwen-VL-Max ¥1.6 / ¥4
- Qwen-VL-Plus ¥0.8 / ¥2
- qwen-vl-ocr ¥0.3 / ¥0.5
- qwen3.5-ocr ¥0.5 / ¥2
- qwen-omni-turbo ¥0.4 /백만 토큰
- qwq-plus ¥1.6 / ¥4
- qvq-max ¥8 / ¥32
- Qwen3-8B 등급별
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- Qwen3-30B-A3B-Thinking(2507 버전) ¥0.75 / ¥7.5
- Qwen3-235B-A22B ¥2 / ¥8
- Qwen3-235B-A22B-Instruct(2507 버전) ¥2 / ¥8
- Qwen3-235B-A22B-Thinking(2507 버전) ¥2 / ¥20
- Qwen3-Next-80B-A3B-Instruct ¥1 / ¥4
- Qwen3-Next-80B-A3B-Thinking ¥1 / ¥10
- Qwen3-Coder-480B-A35B-Instruct ¥6 / ¥24
- qwen3-coder-flash ¥1 / ¥4
- Qwen3-Coder-Plus ¥4 / ¥16
- qwen-coder-plus ¥3.5 / ¥7
- qwen3-omni-flash ¥1.8 / ¥6.9
- Qwen3-Omni-Flash-Realtime ¥2.2 / ¥8.3
- qwen3.8-omni-flash ¥0.8 / ¥2.7
- qwen3.8-omni-flash-realtime ¥1.5 / ¥4.5
- qwen-audio-3.1-realtime-plus ¥5 /백만 토큰
- qwen3.5-omni-plus ¥7 / ¥40
- qwen3.5-omni-flash ¥2.2 / ¥13.3
- qwen3.5-omni-plus-realtime ¥10 / ¥60
- qwen3.5-omni-flash-realtime ¥3.3 / ¥20
- qwen3-vl-plus ¥1 / ¥10
- Qwen3-VL-Flash ¥0.15 / ¥1.5
- Qwen3-LiveTranslate-Flash-Realtime ¥64 / ¥64
- qwen3.5-livetranslate-flash-realtime ¥40 /백만 토큰
- qwen3.8-livetranslate-flash-realtime ¥40 /백만 토큰
- qwen3.5-flash ¥0.2 / ¥2
- qwen3.5-plus ¥0.8 / ¥4.8
- qwen3.5-plus-2026-04-20 ¥0.8 / ¥4.8
- Qwen3.5-27B ¥0.6 / ¥4.8
- qwen3.5-35b-a3b ¥0.4 / ¥3.2
- qwen3.5-122b-a10b ¥0.8 / ¥6.4
- qwen3.5-397b-a17b ¥1.2 / ¥7.2
- qwen3.6-flash ¥1.2 / ¥7.2
- qwen3.6-plus ¥2 / ¥12
- Qwen3.6-27B ¥3 / ¥18
- qwen3.6-35b-a3b ¥1.8 / ¥10.8
- qwen3.6-max-preview ¥9 / ¥54
- qwen3.7-max ¥12 / ¥36
- qwen3.7-max-2026-06-08 ¥12 / ¥36
- qwen3.7-plus ¥2 / ¥8
- qwen3.7-max-preview ¥12 / ¥36
- qwen3-max-preview ¥6 / ¥24
- qwen3.7-flash-2026-07-15 ¥0.2 / ¥0.8
- Qwen3-Coder-Next ¥1 / ¥4
- qwen-doc-turbo ¥0.6 / ¥1
- qwen3-livetranslate-flash ¥10 /백만 토큰
- wan2.6-t2i 등급별
- wan2.5-t2i-preview 등급별
- wan2.2-t2i-plus 등급별
- wan2.2-t2i-flash 등급별
- qwen-image-3.0-pro ¥0.02 / ¥0.25
- qwen-image-3.0 ¥0.02 / ¥0.18
- 千问-이미지 생성 (qwen-image-2.0-pro) LoRA部署 등급별
- qwen-image-2.1-pro 등급별
- 千问-이미지 생성 (qwen-image-2.0) LoRA部署 등급별
- Qwen-Image-Max(千问文生图) ¥0.5 /장
- Qwen-Image-Plus(千问文生图) ¥0.2 /장
- Qwen-Image(千问文生图) ¥0.25 /장
- Qwen-Image-Edit-Max(千问图像编辑) ¥0.5 /장
- Qwen-Image-Edit-Plus(千问图像编辑) ¥0.2 /장
- Qwen-Image-Edit(千问图像编辑) ¥0.3 /장
- z-image-turbo ¥0.1 /장
- 万相-이미지 생성 (wan2.7-image-pro) LoRA部署 등급별
- qwen-mt-image-2.0 등급별
- 万相-이미지 생성 (wan2.7-image) LoRA部署 등급별
- wan2.7-t2v ¥0.6 /초
- wan2.5-t2v-preview ¥0.3 /초
- wan2.6-t2v ¥0.6 /초
- wanx2.1-t2v-turbo ¥0.24 /초
- wanx2.1-t2v-plus ¥0.7 /초
- wan2.2-t2v-plus ¥0.14 /초
- 万相-图生视频 (wan2.2-i2v-flash) 등급별
- wan2.6-i2v-flash ¥0.3 /초
- wan2.6-i2v ¥0.6 /초
- wan3.0-video ¥0.3 /초
- wan3.0-video-prime ¥0.45 /초
- happyhorse-1.1-t2v ¥0.45 /초
- happyhorse-1.1-i2v ¥0.45 /초
- happyhorse-1.1-r2v ¥0.45 /초
- happyhorse-1.0-video-edit ¥0.9 /초
- happyhorse-1.0-t2v ¥0.9 /초
- happyhorse-1.0-i2v ¥0.9 /초
- happyhorse-1.0-r2v ¥0.9 /초
- happyoyster-1.0-adventure ¥0.05 /초
- happyoyster-1.0-directing ¥2 /회
- qwen-audio-3.1-tts-next ¥6 / ¥12
- qwen-audio-3.1-tts-flash ¥1.5 / ¥12
- qwen3-tts-flash 등급별
- qwen-audio-3.1-asr-flash ¥0.8 / ¥2.7
- qwen-audio-3.1-asr-flash-filetrans ¥0.8 / ¥2.7
- qwen-audio-3.1-asr-flash-streaming ¥6 / ¥4.5
- qwen-audio-3.1-asr-flash-message ¥6 / ¥4.5
- qwen3-asr-flash 등급별
- qwen3-asr-flash-realtime 등급별
- fun-asr-realtime 등급별
- fun-music-preview 등급별
- fun-music-v1 등급별
- qwen3.7-max-2026-05-20 ¥12 / ¥36
- qwen3.7-max-2026-05-17 ¥12 / ¥36
- qwen3.7-plus-2026-05-26 ¥2 / ¥8
- qwen3.6-plus-2026-04-02 ¥2 / ¥12
- qwen3.5-plus-2026-02-15 ¥0.8 / ¥4.8
- qwen-plus-2025-12-01 ¥0.8 / ¥2
- qwen-plus-2025-09-11 ¥0.8 / ¥2
- qwen-plus-2025-07-28 ¥0.8 / ¥2
- qwen-plus-2025-07-14 ¥0.8 / ¥2
- qwen-plus-2025-04-28 ¥0.8 / ¥2
- qwen-plus-2025-01-25 ¥0.8 / ¥2
- qwen-plus-2025-01-12 ¥0.8 / ¥2
- qwen-plus-2024-12-20 ¥0.8 / ¥2
- qwen3.6-flash-2026-04-16 ¥1.2 / ¥7.2
- qwen3.5-flash-2026-02-23 ¥0.2 / ¥2
- qwen-flash-2025-07-28 ¥0.15 / ¥1.5
- qwen-long-latest ¥0.5 / ¥2
- qwen-long-2025-01-25 ¥0.5 / ¥2
- qwen3.5-omni-plus-2026-03-15 ¥7 / ¥40
- qwen3.5-omni-flash-2026-03-15 ¥2.2 / ¥13.3
- qwen3-omni-flash-2025-12-01 ¥1.8 /백만 토큰
- qwen3-omni-flash-2025-09-15 ¥1.8 /백만 토큰
- qwen-omni-turbo-latest ¥0.4 /백만 토큰
- qwen-omni-turbo-2025-03-26 ¥0.4 /백만 토큰
- qwen-omni-turbo-2025-01-19 ¥0.4 /백만 토큰
- DeepSeek-OCR ¥0.216 / ¥0.216
- DeepSeek-R1 ¥4 / ¥16
- DeepSeek-R1-0528 ¥4 / ¥16
- DeepSeek-R1-Distill-Qwen-7B ¥0.5 / ¥1
- DeepSeek-V3 ¥2 / ¥8
- qwen3.5-omni-plus-realtime-2026-03-15 ¥10 / ¥60
- qwen3.5-omni-flash-realtime-2026-03-15 ¥3.3 / ¥20
- qwen3-omni-flash-realtime-2025-09-15 ¥2.2 / ¥8.3
- qwen-vl-ocr-2025-11-20 ¥0.3 / ¥0.5
- qwen-vl-ocr-2024-10-28 ¥5 / ¥5
- qwen-audio-turbo 무료
- qwen-audio-turbo-latest 무료
- qwen3-coder-flash-2025-07-28 ¥1 / ¥4
- qwen-deep-research-2025-12-15 ¥79 / ¥236
- qwen2-audio-instruct 무료
- qwen-audio-chat 무료
- DeepSeek-v4-Pro ¥4.5 / ¥13.5
- deepseek-r1-distill-qwen-1.5b 무료
- deepseek-r1-distill-llama-70b 무료
- kimi-k3 ¥20 / ¥100
- kimi-k2.7-code ¥6.5 / ¥27
- Kimi-K2.6 ¥6.5 / ¥27
- kimi-k2.5 ¥4 / ¥21
- GLM-5.3 ¥8 / ¥28
- GLM-5.2 ¥8 / ¥28
- glm-5.2-fast-preview ¥16 / ¥56
- GLM-5.1 ¥6 / ¥24
- glm-5 ¥4 / ¥18
- MiniMax-M2.5 ¥2.1 / ¥8.4
- qwen-plus-character ¥0.8 / ¥2
- qwen-flash-character ¥0.25 / ¥1.5
- qwen-flash-character-2026-02-26 ¥0.18 / ¥1.5
- gui-plus ¥1.5 / ¥4.5
- tongyi-intent-detect-v3 ¥0.4 / ¥1
- qwen-image-2.1-turbo 등급별
- qwen-image-2.0-pro-2026-06-22 등급별
- qwen-image-2.0-pro-2026-04-22 등급별
- qwen-image-2.0-pro-2026-03-03 등급별
- qwen-image-2.0-2026-03-03 등급별
- qwen-mt-image 등급별
- wanx2.1-t2i-plus 등급별
- wanx2.1-t2i-turbo 등급별
- wanx2.0-t2i-turbo 등급별
- wanx-v1 등급별
- wan2.6-image 등급별
- wan2.5-i2i-preview 등급별
- wanx2.1-imageedit 등급별
- wanx-sketch-to-image-lite 등급별
- wanx-style-repaint-v1 등급별
- wanx-x-painting 무료
- image-instance-segmentation 무료
- image-erase-completion 무료
- wanx-virtualmodel 무료
- shoemodel-v1 무료
- wanx-poster-generation-v1 무료
- facechain-facedetect 무료
- facechain-finetune 등급별
- wan2.7-t2v-2026-06-12 ¥0.6 /초
- wan2.7-t2v-2026-04-25 ¥0.6 /초
- wan2.7-i2v-2026-04-25 ¥0.6 /초
- 万相-图生视频-基于首帧 (wan2.7-i2v) 등급별
- 万相-图生视频 (wan2.5-i2v-preview) 등급별
- wan2.2-i2v-plus ¥0.14 /초
- wanx2.1-i2v-turbo ¥0.24 /초
- wanx2.1-i2v-plus ¥0.7 /초
- 万相-图生视频-基于首尾帧 (wan2.2-kf2v-flash) 등급별
- wanx2.1-kf2v-plus ¥0.7 /초
- wan2.7-r2v-2026-06-12 ¥0.6 /초
- wan2.7-r2v ¥0.6 /초
- wan2.6-r2v-flash ¥0.3 /초
- wan2.6-r2v ¥0.6 /초
- wan2.7-videoedit ¥0.6 /초
- wanx2.1-vace-plus ¥0.7 /초
- wan2.2-s2v-detect 등급별
- wan2.2-s2v ¥0.5 /초
- wan2.2-animate-move ¥0.4 /초
- wan2.2-animate-mix ¥0.6 /초
- video-style-transform ¥0.2 /초
- happyoyster-1.0-acting ¥0.05 /회
- qwen-audio-3.0-tts-plus 등급별
- qwen-audio-3.0-tts-flash 등급별
- qwen-tts-flash ¥1.6 / ¥10
- qwen3-tts-flash-realtime 등급별
- qwen-voice-enrollment 등급별
- cosyvoice-v3.5-plus 등급별
- cosyvoice-v3.5-flash 등급별
- cosyvoice-v3-plus 등급별
- cosyvoice-v3-flash (模型部署) 등급별
- cosyvoice-v2 등급별
- qwen3.5-livetranslate-flash-realtime-2026-05-19 ¥40 /백만 토큰
- qwen3-livetranslate-flash-2025-12-01 ¥10 /백만 토큰
- qwen-audio-3.0-asr-flash-streaming 등급별
- qwen-audio-3.0-asr-flash-filetrans 등급별
- qwen-audio-3.0-asr-flash 등급별
- qwen3-asr-flash-filetrans 등급별
- fun-asr 등급별
- fun-asr-flash-2026-06-15 등급별
- fun-asr-flash-8k-realtime 등급별
- paraformer-v2 등급별
- paraformer-realtime-v2 등급별
- qwen-audio-3.0-realtime-plus ¥5 /백만 토큰
- qwen-audio-3.0-realtime-flash ¥1.5 /백만 토큰
- Fun-ASR 등급별
- Qwen-Audio-3.0-ASR-Flash-Streaming 등급별
- qwen-audio-3.0-tts 등급별
- Qwen3-Coder-Plus 등급별
- qwen3.6-max 등급별
- qwen3.8-Max ¥12 / ¥36
- qwen3.7-Max ¥12 / ¥36
- qwen3.5-omni-plus-textout 등급별
- Qwen3-VL-8B-Instruct 등급별
- Qwen3-VL-8B-Thinking 등급별
- Qwen3-VL-4B-Instruct 등급별
- Qwen2.5-VL-72B-Instruct 등급별
- Qwen2.5-VL-32B-Instruct 등급별
- Qwen2.5-VL-7B-Instruct 등급별
- Qwen3.5-9B 등급별
- Qwen3.5-4B 등급별
- Qwen3-4B-Instruct-2507 등급별
- Qwen3-1.7B 등급별
- Qwen3-0.6B 등급별
- Qwen2.5-72B-Instruct 등급별
- Qwen2.5-32B-Instruct 등급별
- Qwen2.5-14B-Instruct 등급별
- Qwen2.5-7B-Instruct 등급별
- 千问-Plus-Character-2025-11-06 ¥0.8 / ¥2
- DeepSeek-v4.1-Flash ¥1 / ¥4
- DeepSeek-v4-Flash ¥10.1 / ¥2.02
- DeepSeek-v4-Flash-0731 ¥1.5 / ¥4.5
자주 묻는 질문
qvq-72b-preview API 가격은 얼마인가요?
입력 ¥17.6/千次, 출력 ¥0/千次
qvq-72b-preview은(는) 어떤 입력 모달리티를 지원하나요?
텍스트.
qvq-72b-preview은(는) 동급 경쟁 모델 대비 가성비가 어떤가요?
Alibaba Bailian qvq-72b-preview은(는) 동급 모델 중 경쟁력 있는 가격입니다. 다음과 비교해 보세요: GPT-4o, Claude 3.5, Gemini 2.5. 자세한 비교는 Pricemon 시세표에서 확인하세요.
qvq-72b-preview은(는) 어떤 용도에 적합한가요?
적합한 용도: 대화 시스템, 고객 지원, 콘텐츠 생성, 코드 보조, 데이터 분석.
qvq-72b-preview에 무료 할당량이 있나요?
최신 무료 할당량, 체험 정책, 구간별 요금은 Alibaba Bailian 공식 가격 페이지에서 확인하세요. 벤더마다 정책이 다르고 수시로 업데이트됩니다.