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Claude Sonnet 4.6 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 Sonnet 4.6 vs Llama 4 Maverick: side by side

SpecClaude Sonnet 4.6Llama 4 MaverickWinner
Intelligence34.314.3Claude Sonnet 4.6
Output speed45 t/s94 t/sLlama 4 Maverick
Output price$15.00/1M$0.60/1MLlama 4 Maverick
Context1000K1049KLlama 4 Maverick
ParamsTie
ProviderAnthropicMetaTie

Claude Sonnet 4.6

Pros

  • +Strong logical coherence
  • +Careful safety alignment
  • +Effective handling of large contexts

Cons

  • Conservative refusal patterns on edge cases
  • Slower response times on complex inputs
  • Knowledge limited to training cutoff
Full Claude Sonnet 4.6 review →

Llama 4 Maverick

Pros

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

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 Sonnet 4.6 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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