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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. Muse WonderMetaRemove
  2. GPT OSS 120BOpenAIRemove
muse-wonder vs gpt-oss-120b
AttributeMuse Wondermuse-wonderGPT OSS 120Bgpt-oss-120b
Pricing
Input$4.00 / 1M$0.037 / 1M
Output$20.00 / 1M$0.17 / 1M
Cache Write (5m)$4.00 / 1M$0.037 / 1M
Cache Write (1h)$4.00 / 1M$0.037 / 1M
Cache Read$4.00 / 1M$0.037 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M131.1K
Max outputN/AN/A
Capabilities
VisionYesNo
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderMetaOpenAI
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryMuse 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.gpt-oss-120b is an open-weight 117B-parameter MoE model from OpenAI, built for advanced reasoning and production workloads. Only about 5.1B parameters are active per step, and it’s optimized to run on a single H100 using MXFP4 quantization. It supports adjustable reasoning depth, full chain-of-thought, and native agent features like tool use, function calling, browsing, and structured outputs.