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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 MaxAlibabaRemove
  2. Muse WonderMetaRemove
qwen3-max vs muse-wonder
AttributeQwen3 Maxqwen3-maxMuse Wondermuse-wonder
Pricing
Input$1.20 / 1M$4.00 / 1M
Output$6.00 / 1M$20.00 / 1M
Cache Write (5m)$1.20 / 1M$4.00 / 1M
Cache Write (1h)$1.20 / 1M$4.00 / 1M
Cache Read$1.20 / 1M$4.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context256K1M
Max outputN/AN/A
Capabilities
VisionNoYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderAlibabaMeta
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryQwen3-Max is an updated Qwen3 model with significant gains in reasoning, instruction following, multilingual support, and long-tail knowledge. It improves accuracy in math, coding, logic, and science, reduces hallucinations, and delivers higher-quality open-ended and conversational responses in over 100 languages. Optimized for RAG and tool use, it focuses on reliable final answers rather than a dedicated “thinking” mode.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.