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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 3.5 FlashGoogleRemove
  2. GPT-6 Astra ProOpenAIRemove
  3. Gemini 3.8 FlashGoogleRemove
gemini-3.5-flash vs gpt-6-astra-pro vs gemini-3.8-flash
AttributeGemini 3.5 Flashgemini-3.5-flashGPT-6 Astra Progpt-6-astra-proGemini 3.8 Flashgemini-3.8-flash
Pricing
Input$1.50 / 1M$10.00 / 1M$0.75 / 1M
Output$9.00 / 1M$50.00 / 1M$3.75 / 1M
Cache Write (5m)$1.50 / 1M$10.00 / 1M$0.75 / 1M
Cache Write (1h)$1.50 / 1M$10.00 / 1M$0.75 / 1M
Cache Read$1.50 / 1M$10.00 / 1M$0.75 / 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
ProviderGoogleOpenAIGoogle
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 3.5 Flash is Google's high-efficiency multimodal model, delivering near-Pro level performance in coding and reasoning at Flash-tier speed and cost. It supports text, image, video, audio, and PDF inputs, making it well suited for diverse multimodal workflows. Optimized for coding proficiency and parallel agentic execution, the model defaults to medium thinking effort for faster, cost-efficient responses while supporting configurable thinking levels (minimal, low, medium, high) for fine-grained cost–performance control.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.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.