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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 3.7 FlashGoogleRemove
  3. Grok 4 FastxAIRemove
claude-fable-5.1 vs gemini-3.7-flash vs grok-4-fast
AttributeClaude Fable 5.1claude-fable-5.1Gemini 3.7 Flashgemini-3.7-flashGrok 4 Fastgrok-4-fast
Pricing
Input$10.00 / 1M$0.375 / 1M$0.07 / 1M
Output$50.00 / 1M$1.88 / 1M$0.175 / 1M
Cache Write (5m)$12.50 / 1M$0.375 / 1M$0.07 / 1M
Cache Write (1h)$20.00 / 1M$0.375 / 1M$0.07 / 1M
Cache Read$1.00 / 1M$0.375 / 1M$0.07 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M2M
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderAnthropicGooglexAI
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 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.Grok 4 Fast is xAI's cost-efficient multimodal model with a massive 2M-token context window. It’s available in both reasoning and non-reasoning modes, allowing developers to toggle deeper thinking when needed. Designed for scalable performance, it balances speed, capability, and price — with reasoning controllable via the reasoning_enabled API parameter.