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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. Qwen3 Reranker 8BRerankerRemove
  2. Muse WonderMetaRemove
  3. Gemini 3.1 Flash Lite Image (Google AI Studio)GoogleEnterprise & partner accessRemove
Qwen/Qwen3-Reranker-8B vs muse-wonder vs gemini-3.1-flash-lite-image-aistudio
AttributeQwen3 Reranker 8BQwen/Qwen3-Reranker-8BMuse Wondermuse-wonderGemini 3.1 Flash Lite Image (Google AI Studio)gemini-3.1-flash-lite-image-aistudio
Pricing
Input$0.56 / 1M$4.00 / 1M—
Output$0.56 / 1M$20.00 / 1M—
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
Web Search$0 / 1M$0 / 1M—
Request——$0.0336 / request
Billing——Pay Per Request
Context
Max context8.2K1MN/A
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesNo
JSON ModeNoYesNo
StreamingNoYesNo
Catalogue
ProviderRerankerMetaGoogle
Categorychatchatimage
Charge typePay As You GoPay As You GoPay Per Request
Released———
Description
Summary—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 AI Studio. 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.