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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. mai-ds-r1:freeNot in the catalogueRemove
  3. GPT-6 Luna ProOpenAIRemove
gemini-3.8-flash vs mai-ds-r1:free vs gpt-6-luna-pro
AttributeGemini 3.8 Flashgemini-3.8-flashmai-ds-r1:freeNot in the catalogueGPT-6 Luna Progpt-6-luna-pro
Pricing
Input$0.75 / 1M—$0.10 / 1M
Output$3.75 / 1M—$0.50 / 1M
Cache Write (5m)$0.75 / 1M—$0.10 / 1M
Cache Write (1h)$0.75 / 1M—$0.10 / 1M
Cache Read$0.75 / 1M—$0.10 / 1M
Web Search$0 / 1M—$0 / 1M
Context
Max context1M—1.1M
Max outputN/A—N/A
Capabilities
VisionYes—Yes
Function CallingYes—Yes
JSON ModeYes—Yes
StreamingYes—Yes
Catalogue
ProviderGoogle—OpenAI
Categorychat—chat
Charge typePay As You Go—Pay 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 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.