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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. Gemini 4 ArgonGoogleRemove

4 is the maximum. Remove one to add another.

claude-fable-5.1 vs perceptron-mk1.5 vs mai-ds-r1:free vs gemini-4-argon
AttributeClaude Fable 5.1claude-fable-5.1Perceptron Mk1.5perceptron-mk1.5mai-ds-r1:freeNot in the catalogueGemini 4 Argongemini-4-argon
Pricing
Input$10.00 / 1M$0.15 / 1M—$2.00 / 1M
Output$50.00 / 1M$1.50 / 1M—$10.00 / 1M
Cache Write (5m)$12.50 / 1M$0.15 / 1M—$2.00 / 1M
Cache Write (1h)$20.00 / 1M$0.15 / 1M—$2.00 / 1M
Cache Read$0.25 / 1M$0.15 / 1M—$2.00 / 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—Google
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.—Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.