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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. GPT Image 2OpenAIRemove
  2. Muse WonderMetaRemove
  3. Gemini 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
gpt-image-2 vs muse-wonder vs gemini-3.1-flash-lite-image-vertex
AttributeGPT Image 2gpt-image-2Muse Wondermuse-wonderGemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex
Pricing
Request$0.04 / request—$0.0336 / request
BillingPay Per Request—Pay Per Request
Cache Write (5m)Not applicable$4.00 / 1MNot applicable
Cache Write (1h)Not applicable$4.00 / 1MNot applicable
Cache ReadNot applicable$4.00 / 1MNot applicable
Input—$4.00 / 1M—
Output—$20.00 / 1M—
Web Search—$0 / 1M—
Context
Max context272K1MN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingNoYesNo
JSON ModeNoYesNo
StreamingNoYesNo
Catalogue
ProviderOpenAIMetaGoogle
Categoryimagechatimage
Charge typePay Per RequestPay As You GoPay Per Request
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.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.