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Claude Opus 4.8 vs Llama 4 Maverick

A side-by-side comparison of two multimodal models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.

Claude Opus 4.8 vs Llama 4 Maverick: side by side

SpecClaude Opus 4.8Llama 4 MaverickWinner
Intelligence61.418.4Claude Opus 4.8
Output speed60 t/s96 t/sLlama 4 Maverick
Output price$25.00/1M$0.60/1MLlama 4 Maverick
Context1000K1049KLlama 4 Maverick
ParamsTie
TypeProprietaryOpen-weightTie
ProviderAnthropicMetaTie

Claude Opus 4.8

Pros

  • +Handles extremely long inputs effectively
  • +Strong multimodal integration of text, images, and files
  • +Careful and nuanced reasoning
  • +Robust safety alignment

Cons

  • Higher latency on large contexts
  • Conservative response style due to safety tuning
  • May require explicit guidance for creative tasks
Full Claude Opus 4.8 review →

Llama 4 Maverick

Pros

  • +Very large 1M token context window
  • +Native multimodal support for text and images
  • +Open weights from Meta
  • +Strong general reasoning performance

Cons

  • High compute requirements for full context
  • Limited to text and image modalities
  • Potential for hallucinations on complex tasks
Full Llama 4 Maverick review →

Frequently asked questions

It depends on your needs. Claude Opus 4.8 and Llama 4 Maverick are both multimodal models; the comparison table above shows where each one leads on the metrics that matter. See the verdict for a recommendation.

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