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Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Ministral 3 14B 2512Mistral AIRemove
  2. Claude Fable 5.1AnthropicRemove
  3. GLM 5.3Z.AIRemove
  4. Gemini 3.8 FlashGoogleRemove

4 is the maximum. Remove one to add another.

ministral-14b-2512 vs claude-fable-5.1 vs glm-5.3 vs gemini-3.8-flash
AttributeMinistral 3 14B 2512ministral-14b-2512Claude Fable 5.1claude-fable-5.1GLM 5.3glm-5.3Gemini 3.8 Flashgemini-3.8-flash
Pricing
Input$0.20 / 1M$10.00 / 1M$1.40 / 1M$0.75 / 1M
Output$0.20 / 1M$50.00 / 1M$4.40 / 1M$3.75 / 1M
Cache Write (5m)$0.20 / 1M$12.50 / 1M$1.40 / 1M$0.75 / 1M
Cache Write (1h)$0.20 / 1M$20.00 / 1M$1.40 / 1M$0.75 / 1M
Cache Read$0.20 / 1M$1.00 / 1M$1.40 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context262.1K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderMistral AIAnthropicZ.AIGoogle
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryMinistral 3 14B is the largest model in the Ministral 3 lineup, delivering near–frontier performance similar to the larger Mistral Small 3.2 24B. It's a powerful yet efficient language model that also includes vision capabilities.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.GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.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.