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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 3.8 FlashGoogleRemove
  3. Transcribe 1 ProFish AudioRemove
  4. mai-ds-r1:freeNot in the catalogueRemove

4 is the maximum. Remove one to add another.

muse-wonder vs gemini-3.8-flash vs transcribe-1-pro vs mai-ds-r1:free
AttributeMuse Wondermuse-wonderGemini 3.8 Flashgemini-3.8-flashTranscribe 1 Protranscribe-1-promai-ds-r1:freeNot in the catalogue
Pricing
Input$4.00 / 1M$0.75 / 1M— Not priced per input token—
Output$20.00 / 1M$3.75 / 1M— Not priced per output token—
Cache Write (5m)$4.00 / 1M$0.75 / 1MNot applicable—
Cache Write (1h)$4.00 / 1M$0.75 / 1MNot applicable—
Cache Read$4.00 / 1M$0.75 / 1MNot applicable—
Web Search$0 / 1M$0 / 1M$0 / 1M—
Context
Max context1M1MN/A—
Max outputN/AN/AN/A—
Capabilities
VisionYesYesNo—
Function CallingYesYesNo—
JSON ModeYesYesNo—
StreamingYesYesNo—
Catalogue
ProviderMetaGoogleFish Audio—
Categorychatchatvoice—
Charge typePay As You GoPay As You GoPay As You Go—
Released——2026-09-24—
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 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.—