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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. GPT Image 2OpenAIRemove
  2. Muse WonderMetaRemove
gpt-image-2 vs muse-wonder
AttributeGPT Image 2gpt-image-2Muse Wondermuse-wonder
Pricing
Request$0.04 / request—
BillingPay Per Request—
Cache Write (5m)Not applicable$4.00 / 1M
Cache Write (1h)Not applicable$4.00 / 1M
Cache ReadNot applicable$4.00 / 1M
Input—$4.00 / 1M
Output—$20.00 / 1M
Web Search—$0 / 1M
Context
Max context272K1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingNoYes
JSON ModeNoYes
StreamingNoYes
Catalogue
ProviderOpenAIMeta
Categoryimagechat
Charge typePay Per RequestPay As You Go
Released——
Description
SummaryGPT 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.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.