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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 Sonnet 5.5AnthropicRemove
  2. Claude Fable 5.1AnthropicRemove
  3. Gemini 3.8 FlashGoogleRemove
claude-sonnet-5.5 vs claude-fable-5.1 vs gemini-3.8-flash
AttributeClaude Sonnet 5.5claude-sonnet-5.5Claude Fable 5.1claude-fable-5.1Gemini 3.8 Flashgemini-3.8-flash
Pricing
Input$2.00 / 1M$10.00 / 1M$0.75 / 1M
Output$10.00 / 1M$50.00 / 1M$3.75 / 1M
Cache Write (5m)$2.50 / 1M$12.50 / 1M$0.75 / 1M
Cache Write (1h)$4.00 / 1M$20.00 / 1M$0.75 / 1M
Cache Read$0.10 / 1M$0.25 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderAnthropicAnthropicGoogle
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryClaude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.Claude 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.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.