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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. GPT-6 AstraOpenAIRemove
  2. Codex MiniOpenAIRemove
  3. Gemini 3.8 FlashGoogleRemove
gpt-6-astra vs codex-mini vs gemini-3.8-flash
AttributeGPT-6 Astragpt-6-astraCodex Minicodex-miniGemini 3.8 Flashgemini-3.8-flash
Pricing
Input$10.00 / 1M$0.75 / 1M$0.75 / 1M
Output$50.00 / 1M$3.00 / 1M$3.75 / 1M
Cache Write (5m)$10.00 / 1M$0.75 / 1M$0.75 / 1M
Cache Write (1h)$10.00 / 1M$0.75 / 1M$0.75 / 1M
Cache Read$10.00 / 1M$0.75 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M200K1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderOpenAIOpenAIGoogle
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryGPT-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.Codex Mini is a fine-tuned o4-mini model made for the Codex CLI. For most direct API usage, it’s better to use gpt-4.1 instead.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.