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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. DeepSeek V3.2 SpecialeDeepSeekRemove
claude-fable-5.1 vs gemini-3.8-flash vs deepseek-v3.2-speciale
AttributeClaude Fable 5.1claude-fable-5.1Gemini 3.8 Flashgemini-3.8-flashDeepSeek V3.2 Specialedeepseek-v3.2-speciale
Pricing
Input$10.00 / 1M$0.75 / 1M$0.28 / 1M
Output$50.00 / 1M$3.75 / 1M$0.40 / 1M
Cache Write (5m)$12.50 / 1M$0.75 / 1M$0.28 / 1M
Cache Write (1h)$20.00 / 1M$0.75 / 1M$0.28 / 1M
Cache Read$1.00 / 1M$0.75 / 1M$0.28 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M163.8K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderAnthropicGoogleDeepSeek
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.DeepSeek-V3.2-Speciale is a high-compute edition of V3.2 built for top-tier reasoning and agent performance. Using DeepSeek Sparse Attention and extensive reinforcement learning, it surpasses GPT-5 on tough reasoning benchmarks and approaches Gemini 3 Pro–level capability, while still remaining strong at coding and tool use. It also draws on a large agent-training pipeline to boost reliability and generalization in interactive environments.