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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. GPT-6 AstraOpenAIRemove
  3. GPT-6 Astra ProOpenAIRemove
mistral-medium-3-5 vs gpt-6-astra vs gpt-6-astra-pro
AttributeMistral Medium 3.5mistral-medium-3-5GPT-6 Astragpt-6-astraGPT-6 Astra Progpt-6-astra-pro
Pricing
Input$1.50 / 1M$10.00 / 1M$10.00 / 1M
Output$7.50 / 1M$50.00 / 1M$50.00 / 1M
Cache Write (5m)$1.50 / 1M$10.00 / 1M$10.00 / 1M
Cache Write (1h)$1.50 / 1M$10.00 / 1M$10.00 / 1M
Cache Read$1.50 / 1M$10.00 / 1M$10.00 / 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
ProviderMistralOpenAIOpenAI
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.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.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.