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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-5 CodexOpenAIRemove
muse-wonder vs gpt-5-codex
AttributeMuse Wondermuse-wonderGPT-5 Codexgpt-5-codex
Pricing
Input$4.00 / 1M$0.625 / 1M
Output$20.00 / 1M$5.00 / 1M
Cache Write (5m)$4.00 / 1M$0.625 / 1M
Cache Write (1h)$4.00 / 1M$0.625 / 1M
Cache Read$4.00 / 1M$0.625 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M400K
Max outputN/AN/A
Capabilities
VisionYesYes
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-5 Codex is a coding-focused version of GPT-5 built for both interactive development and long autonomous engineering tasks. It can create projects, add features, debug, refactor, and review code, producing cleaner and more controllable outputs than GPT-5. It integrates with developer tools (CLI, IDEs, GitHub, cloud), supports adjustable reasoning effort, handles multimodal inputs, and uses tools for search and environment setup — making it purpose-built for agentic coding workflows.