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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-5 CodexOpenAIRemove
gemini-3.7-flash vs gpt-5-codex
AttributeGemini 3.7 Flashgemini-3.7-flashGPT-5 Codexgpt-5-codex
Pricing
Input$0.375 / 1M$0.625 / 1M
Output$1.88 / 1M$5.00 / 1M
Cache Write (5m)$0.375 / 1M$0.625 / 1M
Cache Write (1h)$0.375 / 1M$0.625 / 1M
Cache Read$0.375 / 1M$0.625 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M400K
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderGoogleOpenAI
Categorychatchat
Charge typePay 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-5 Codex is a coding-focused version of GPT-5 built for both interactive development and long autonomous engineering tasks. It can create projects, add features, debug, refactor, and review code, producing cleaner and more controllable outputs than GPT-5. It integrates with developer tools (CLI, IDEs, GitHub, cloud), supports adjustable reasoning effort, handles multimodal inputs, and uses tools for search and environment setup — making it purpose-built for agentic coding workflows.