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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. Claude Fable 5.1AnthropicRemove
  2. Muse Spark 1.3MetaRemove
  3. Gemini 3.5 TranscribeGoogleRemove
  4. Muse WonderMetaRemove

4 is the maximum. Remove one to add another.

claude-fable-5.1 vs muse-spark-1.3 vs gemini-3.5-transcribe vs muse-wonder
AttributeClaude Fable 5.1claude-fable-5.1Muse Spark 1.3muse-spark-1.3Gemini 3.5 Transcribegemini-3.5-transcribeMuse Wondermuse-wonder
Pricing
Input$10.00 / 1M$1.25 / 1M— Not priced per input token$4.00 / 1M
Output$50.00 / 1M$4.25 / 1M— Not priced per output token$20.00 / 1M
Cache Write (5m)$12.50 / 1M$1.25 / 1MNot applicable$4.00 / 1M
Cache Write (1h)$20.00 / 1M$1.25 / 1MNot applicable$4.00 / 1M
Cache Read$0.25 / 1M$1.25 / 1MNot applicable$4.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M98.3K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderAnthropicMetaGoogleMeta
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-09-25—
Description
SummaryClaude Fable 5.1 is an upgraded version of Fable 5, delivering broad improvements with particularly strong gains in agentic coding, long-running workflows, and professional knowledge work. It excels at large code refactors, front-end and visual code generation, financial analysis, and complex analytical tasks. Compared with Fable 5, it also produces more concise plans and summaries while maintaining strong performance across extended tasks, making it a natural upgrade for existing Fable workflows and a strong option alongside Opus 5 for reasoning-intensive applications.Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.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.