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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. Gemini 3.8 FlashGoogleRemove
  3. GPT-5.1-Codex-MaxOpenAIRemove
claude-fable-5.1 vs gemini-3.8-flash vs gpt-5.1-codex-max
AttributeClaude Fable 5.1claude-fable-5.1Gemini 3.8 Flashgemini-3.8-flashGPT-5.1-Codex-Maxgpt-5.1-codex-max
Pricing
Input$10.00 / 1M$0.75 / 1M$0.375 / 1M
Output$50.00 / 1M$3.75 / 1M$3.00 / 1M
Cache Write (5m)$12.50 / 1M$0.75 / 1M$0.375 / 1M
Cache Write (1h)$20.00 / 1M$0.75 / 1M$0.375 / 1M
Cache Read$1.00 / 1M$0.75 / 1M$0.375 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M400K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderAnthropicGoogleOpenAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
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.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.GPT-5.1 Codex Max is OpenAI's advanced agentic coding model, built for long-running, high-context development work. Using an upgraded 5.1 reasoning stack and training on real engineering workflows, it delivers faster performance, stronger reasoning, and better token efficiency across the full software lifecycle.