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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Qwen3.7 FlashAlibabaRemove
  2. Muse WonderMetaRemove
qwen3.7-flash vs muse-wonder
AttributeQwen3.7 Flashqwen3.7-flashMuse Wondermuse-wonder
Pricing
Input$0.03 / 1M$4.00 / 1M
Output$0.13 / 1M$20.00 / 1M
Cache Write (5m)$0.03 / 1M$4.00 / 1M
Cache Write (1h)$0.03 / 1M$4.00 / 1M
Cache Read$0.03 / 1M$4.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderAlibabaMeta
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryQwen3.7 Flash is Alibaba's vision-language reasoning model, designed for multimodal agents, visual coding, search, and computer interaction. It combines fast inference with strong visual understanding, including object recognition, spatial reasoning, and real-world scene perception. Optimized for interactive and agentic workflows, Qwen3.7 Flash is well suited for GUI understanding, visual question answering, multimodal search, and computer-use applications that require responsive reasoning across text and images.Muse Wonder is Meta’s frontier multimodal reasoning model, designed for complex personal and professional agentic workflows. It supports text, image, video, audio, and PDF inputs with text output and features a 1M-token context window for sustained reasoning across long-running tasks. Optimized for autonomous execution and multi-agent orchestration, Muse Wonder can plan, delegate to subagents, coordinate parallel tool use, recover from errors, and operate browsers and applications across desktop and mobile environments. With cross-conversation context retrieval and its Active Focus training approach, it is well suited for complex software engineering, multi-file refactoring, computer use, and end-to-end workflows requiring persistence, adaptability, and minimal supervision.