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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 3.7 FlashGoogleRemove
  2. GPT-6 Astra ProOpenAIRemove
  3. Codex MiniOpenAIRemove
gemini-3.7-flash vs gpt-6-astra-pro vs codex-mini
AttributeGemini 3.7 Flashgemini-3.7-flashGPT-6 Astra Progpt-6-astra-proCodex Minicodex-mini
Pricing
Input$0.375 / 1M$10.00 / 1M$0.75 / 1M
Output$1.88 / 1M$50.00 / 1M$3.00 / 1M
Cache Write (5m)$0.375 / 1M$10.00 / 1M$0.75 / 1M
Cache Write (1h)$0.375 / 1M$10.00 / 1M$0.75 / 1M
Cache Read$0.375 / 1M$10.00 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M200K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderGoogleOpenAIOpenAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryGemini 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.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.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.