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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. Claude Fable 5.1AnthropicRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. mai-ds-r1:freeNot in the catalogueRemove
  4. Muse WonderMetaRemove

4 is the maximum. Remove one to add another.

claude-fable-5.1 vs perceptron-mk1.5 vs mai-ds-r1:free vs muse-wonder
AttributeClaude Fable 5.1claude-fable-5.1Perceptron Mk1.5perceptron-mk1.5mai-ds-r1:freeNot in the catalogueMuse Wondermuse-wonder
Pricing
Input$10.00 / 1M$0.15 / 1M—$4.00 / 1M
Output$50.00 / 1M$1.50 / 1M—$20.00 / 1M
Cache Write (5m)$12.50 / 1M$0.15 / 1M—$4.00 / 1M
Cache Write (1h)$20.00 / 1M$0.15 / 1M—$4.00 / 1M
Cache Read$0.25 / 1M$0.15 / 1M—$4.00 / 1M
Web Search$0 / 1M$0 / 1M—$0 / 1M
Context
Max context1M36.9K—1M
Max outputN/AN/A—N/A
Capabilities
VisionYesNo—Yes
Function CallingYesNo—Yes
JSON ModeYesNo—Yes
StreamingYesYes—Yes
Catalogue
ProviderAnthropicPerceptron—Meta
Categorychatchat—chat
Charge typePay As You GoPay As You Go—Pay 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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per 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.