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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. GPT-6 AstraOpenAIRemove
  3. Gemini 2.5 Flash LiteGoogleRemove
gemini-3.8-flash vs gpt-6-astra vs gemini-2.5-flash-lite
AttributeGemini 3.8 Flashgemini-3.8-flashGPT-6 Astragpt-6-astraGemini 2.5 Flash Litegemini-2.5-flash-lite
Pricing
Input$0.75 / 1M$10.00 / 1M$0.15 / 1M
Output$3.75 / 1M$50.00 / 1M$0.60 / 1M
Cache Write (5m)$0.75 / 1M$10.00 / 1M$0.15 / 1M
Cache Write (1h)$0.75 / 1M$10.00 / 1M$0.15 / 1M
Cache Read$0.75 / 1M$10.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1.0M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderGoogleOpenAIGoogle
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.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.Gemini 2.5 Flash-Lite is a smaller, low-latency model focused on speed and cost efficiency. It delivers faster generation and better benchmark performance than earlier Flash models. Thinking mode is off by default for maximum speed, but developers can enable it when they want deeper reasoning at a higher cost.