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Compare models

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. Gemini 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
  3. GPT Image 2OpenAIRemove
muse-wonder vs gemini-3.1-flash-lite-image-vertex vs gpt-image-2
AttributeMuse Wondermuse-wonderGemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertexGPT Image 2gpt-image-2
Pricing
Input$4.00 / 1M——
Output$20.00 / 1M——
Cache Write (5m)$4.00 / 1MNot applicableNot applicable
Cache Write (1h)$4.00 / 1MNot applicableNot applicable
Cache Read$4.00 / 1MNot applicableNot applicable
Web Search$0 / 1M——
Request—$0.0336 / request$0.04 / request
Billing—Pay Per RequestPay Per Request
Context
Max context1MN/A272K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesNoNo
JSON ModeYesNoNo
StreamingYesNoNo
Catalogue
ProviderMetaGoogleOpenAI
Categorychatimageimage
Charge typePay As You GoPay Per RequestPay 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.Gemini 3.1 Flash Lite Image served from Google Vertex AI. Billed per image at US$0.0336. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 1K. A request for a larger size returns a 1K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size.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.