GPT-4o vs Llama 4 Scout

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

GPT-4o 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-4o 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-4o on Krater · Llama 4 Scout on Krater

What each model is best at

GPT-4o

OpenAI's flagship multimodal model combining text, vision, and audio understanding. GPT-4o ("o" for "omni") delivers GPT-4 Turbo-level intelligence with faster responses and native multimodal capabilities.

Strengths

  • Native multimodal understanding (text, images, audio)
  • Faster response times than GPT-4 Turbo
  • Excellent at following complex instructions
  • Strong coding and reasoning abilities

Best for

  • Complex conversations requiring nuanced understanding
  • Analyzing images and documents
  • Creative writing and content generation
  • Code generation and debugging

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.