Skip to content

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. Gemini 3.7 FlashGoogleRemove
  2. Mistral Embed 2312Mistral AIRemove
  3. Claude Fable 5.1AnthropicRemove
gemini-3.7-flash vs mistral-embed-2312 vs claude-fable-5.1
AttributeGemini 3.7 Flashgemini-3.7-flashMistral Embed 2312mistral-embed-2312Claude Fable 5.1claude-fable-5.1
Pricing
Input$0.375 / 1M$0.125 / 1M$10.00 / 1M
Output$1.88 / 1M$0 / 1M$50.00 / 1M
Cache Write (5m)$0.375 / 1M$0.125 / 1M$12.50 / 1M
Cache Write (1h)$0.375 / 1M$0.125 / 1M$20.00 / 1M
Cache Read$0.375 / 1M$0.125 / 1M$1.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M8.2K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderGoogleMistral AIAnthropic
Categorychatembeddingchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 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.Mistral Embed is Mistral AI's text embedding model, built for semantic search and RAG workflows. It generates 1024-dimensional vectors that capture meaningful relationships between pieces of text.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.