GPT-5.2 Codex vs Llama 4 Scout

Compare GPT-5.2 Codex and Llama 4 Scout side by side. See pricing, capabilities, context length, and performance. Use both on Krater.ai from $20/mo.

GPT-5.2 Codex vs Llama 4 Scout: strengths, best use cases and how to run both side by side. The live page adds context windows, token pricing and more comparisons once it loads.

Try both on Krater

Run GPT-5.2 Codex and Llama 4 Scout on the same prompt in the Krater Model Arena, then keep the winner in your workflow. One subscription covers both, from $20 a month.

Open Krater chat · GPT-5.2 Codex on Krater · Llama 4 Scout on Krater

What each model is best at

GPT-5.2 Codex

OpenAI's dedicated coding powerhouse from the GPT-5 family. GPT-5.2 Codex delivers exceptional performance on software engineering tasks, from code generation to complex debugging.

Strengths

  • Top-tier code generation across all languages
  • Deep understanding of software architecture
  • Excellent at debugging and refactoring
  • Strong at code review and optimization

Best for

  • Professional software development
  • Large codebase refactoring
  • Complex algorithm implementation
  • Full-stack development assistance

Llama 4 Scout

The efficient member of Meta's Llama 4 family, Scout offers impressive capability with a massive 10M token context window at lower cost than Maverick.

Strengths

  • Massive 10M token context window
  • Cost-effective Llama 4 performance
  • Good coding and reasoning
  • Fast for its capability level

Best for

  • Extremely long document analysis
  • Large codebase understanding
  • Cost-conscious Llama 4 usage
  • Applications needing massive context

How we compare models

Our tested head-to-heads run the same prompt set through both models in the Model Arena, then rank answers blind. Read the testing methodology, or browse every comparison.