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Llama 4 Maverick vs Grok 4.3

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.

Llama 4 Maverick vs Grok 4.3: side by side

SpecLlama 4 MaverickGrok 4.3Winner
Intelligence14.335.4Grok 4.3
Output speed94 t/s136 t/sGrok 4.3
Output price$0.60/1M$2.50/1MLlama 4 Maverick
Context1049K1000KLlama 4 Maverick
ParamsTie
ProviderMetaxAITie

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 →

Grok 4.3

Pros

  • +Strong performance on complex multi-step reasoning
  • +Large context window for document-level tasks
  • +Helpful and direct response style

Cons

  • Vision capabilities less mature than specialized models
  • Occasional over-refusal on edge-case queries
  • High computational cost for maximum context usage
Full Grok 4.3 review →

Frequently asked questions

It depends on your needs. Llama 4 Maverick and Grok 4.3 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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