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Llama 4 Maverick vs GPT-5.1-Codex-Max

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 GPT-5.1-Codex-Max: side by side

SpecLlama 4 MaverickGPT-5.1-Codex-MaxWinner
Intelligence18.4Tie
Output speed96 t/sTie
Output price$0.60/1M$10.00/1MLlama 4 Maverick
Context1049K400KLlama 4 Maverick
ParamsTie
TypeOpen-weightProprietaryTie
ProviderMetaOpenAITie

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 →

GPT-5.1-Codex-Max

Pros

  • +Handles very large contexts
  • +Strong coding focus
  • +Combines text and image inputs
  • +Suitable for complex technical workflows

Cons

  • Limited to text and image modalities
  • High resource demands for large contexts
  • No support for other media types
Full GPT-5.1-Codex-Max review →

Frequently asked questions

It depends on your needs. Llama 4 Maverick and GPT-5.1-Codex-Max 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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