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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 3.8 FlashGoogleRemove
  2. Gemini 3.6 FlashGoogleRemove
  3. GPT-6 Astra ProOpenAIRemove
gemini-3.8-flash vs gemini-3.6-flash vs gpt-6-astra-pro
AttributeGemini 3.8 Flashgemini-3.8-flashGemini 3.6 Flashgemini-3.6-flashGPT-6 Astra Progpt-6-astra-pro
Pricing
Input$0.75 / 1M$1.50 / 1M$10.00 / 1M
Output$3.75 / 1M$7.50 / 1M$50.00 / 1M
Cache Write (5m)$0.75 / 1M$1.50 / 1M$10.00 / 1M
Cache Write (1h)$0.75 / 1M$1.50 / 1M$10.00 / 1M
Cache Read$0.75 / 1M$1.50 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderGoogleGoogleOpenAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 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 3.6 Flash is Google's high-efficiency model for coding, agentic workflows, and web and application development. It is optimized to produce polished, production-ready outputs with fewer unnecessary revisions, less hedging, and more direct task execution. By reducing both token usage and the number of model calls required to complete complex tasks, Gemini 3.6 Flash is well suited for high-throughput development, scalable agent systems, and cost-sensitive production workflows.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.