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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 LunaOpenAIRemove
gemini-3.8-flash vs mai-ds-r1:free vs gpt-6-luna
AttributeGemini 3.8 Flashgemini-3.8-flashmai-ds-r1:freeNot in the catalogueGPT-6 Lunagpt-6-luna
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 is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.