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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 Image 2OpenAIRemove
muse-wonder vs gpt-image-2
AttributeMuse Wondermuse-wonderGPT Image 2gpt-image-2
Pricing
Input$4.00 / 1M—
Output$20.00 / 1M—
Cache Write (5m)$4.00 / 1MNot applicable
Cache Write (1h)$4.00 / 1MNot applicable
Cache Read$4.00 / 1MNot applicable
Web Search$0 / 1M—
Request—$0.04 / request
Billing—Pay Per Request
Context
Max context1M272K
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesNo
JSON ModeYesNo
StreamingYesNo
Catalogue
ProviderMetaOpenAI
Categorychatimage
Charge typePay As You GoPay Per Request
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 Image 2 combines OpenAI's GPT-5.4 with advanced image generation capabilities from GPT Image 2, enabling fully integrated multimodal workflows. It allows users to seamlessly transition between reasoning, coding, and visual generation within a single interaction, making it well suited for creative, development, and agent-driven applications that require both intelligence and visual output.