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Alibaba Cloud · Text

qwen3.7-flash

Qwen multimodal understanding and task execution

VisionCodingAgents

Pricing

Charged by actual usage

Unit: points / 1M tokens

Input per request≤ 32K

Input
48≈ $0.096Member price 28.8≈ $0.058
Cache hit
7≈ $0.014Member price 4.2≈ $0.0084
Cache write
81≈ $0.162Member price 48.6≈ $0.097
Output
259≈ $0.518Member price 155≈ $0.311

Input per request32K–256K

Input
143≈ $0.286Member price 85.8≈ $0.172
Cache hit
20≈ $0.04Member price 12≈ $0.024
Cache write
242≈ $0.484Member price 145≈ $0.29
Output
775≈ $1.55Member price 465≈ $0.93

Input per request256K–1M

Input
286≈ $0.572Member price 172≈ $0.343
Cache hit
40≈ $0.08Member price 24≈ $0.048
Cache write
484≈ $0.968Member price 290≈ $0.581
Output
1,549≈ $3.1Member price 929≈ $1.86
  • Paid members are charged the member price, 40% below the list price.
  • Tiered pricing: the tier is picked by the input length of each request. Whichever tier a request’s input tokens fall into, its input, cache and output are all billed at that tier’s prices, not split across tiers.
  • Cache hit: a prefix repeated from earlier requests (such as a system prompt or a long document you keep referring to) is cached, and the cached part is billed at the cache price, about 15% of the input price.
  • Cache write: content written to the cache the first time is billed at the cache write price; later hits are billed at the cache hit price.
  • Input and output are billed separately by actual tokens; reasoning tokens count as output.

Lifetime and Team members get 40% off this model. See plans

About this model

Qwen3.7-Flash is a native vision-language model supporting text, image, and video inputs. It strengthens visual recognition, spatial understanding, multimodal coding, and agent task execution.

Use in Beav

  1. 01Download Beav and sign in
  2. 02Choose qwen3.7-flash in the model picker
  3. 03Use it for writing, editing, summarizing and chat

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