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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 2.5 Pro DeepSearchGoogleRemove
  3. Gemini 3.7 FlashGoogleRemove
gemini-3.8-flash vs gemini-2.5-pro-deepsearch vs gemini-3.7-flash
AttributeGemini 3.8 Flashgemini-3.8-flashGemini 2.5 Pro DeepSearchgemini-2.5-pro-deepsearchGemini 3.7 Flashgemini-3.7-flash
Pricing
Input$0.75 / 1M$7.00 / 1M$0.375 / 1M
Output$3.75 / 1M$56.00 / 1M$1.88 / 1M
Cache Write (5m)$0.75 / 1M$7.00 / 1M$0.375 / 1M
Cache Write (1h)$0.75 / 1M$7.00 / 1M$0.375 / 1M
Cache Read$0.75 / 1M$7.00 / 1M$0.375 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1.0M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderGoogleGoogleGoogle
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 2.5 Pro is Google's top reasoning model for coding, math, and scientific work. It uses built-in “thinking” to deliver more accurate, context-aware answers and ranks at the top of major benchmarks like LMArena, showing strong alignment and problem-solving ability.Gemini 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.