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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. Gemini 3.7 FlashGoogleRemove
  2. Mistral Embed 2312Mistral AIRemove
  3. GPT-6 Astra ProOpenAIRemove
gemini-3.7-flash vs mistral-embed-2312 vs gpt-6-astra-pro
AttributeGemini 3.7 Flashgemini-3.7-flashMistral Embed 2312mistral-embed-2312GPT-6 Astra Progpt-6-astra-pro
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$10.00 / 1M
Cache Write (1h)$0.375 / 1M$0.125 / 1M$10.00 / 1M
Cache Read$0.375 / 1M$0.125 / 1M$10.00 / 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 AIOpenAI
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.GPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.