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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. Mistral Medium 3.5MistralRemove
  2. Gemini 3.8 FlashGoogleRemove
  3. Gemini 3.7 FlashGoogleRemove
mistral-medium-3-5 vs gemini-3.8-flash vs gemini-3.7-flash
AttributeMistral Medium 3.5mistral-medium-3-5Gemini 3.8 Flashgemini-3.8-flashGemini 3.7 Flashgemini-3.7-flash
Pricing
Input$1.50 / 1M$0.75 / 1M$0.375 / 1M
Output$7.50 / 1M$3.75 / 1M$1.88 / 1M
Cache Write (5m)$1.50 / 1M$0.75 / 1M$0.375 / 1M
Cache Write (1h)$1.50 / 1M$0.75 / 1M$0.375 / 1M
Cache Read$1.50 / 1M$0.75 / 1M$0.375 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context262.1K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderMistralGoogleGoogle
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryMistral Medium 3.5 is a 128B dense instruction-following model from Mistral AI, supporting text and image inputs with text output. It is designed for agentic workflows, coding, and complex multi-step reasoning, with strong reliability in multi-tool orchestration and long-horizon tasks. The model features a 256K token context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. With support for self-hosting on as few as four GPUs and availability under open weights, it is well suited for scalable, production-grade deployments.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.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.