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Llama 4 Maverick vs GPT-5.2-Codex

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-5.2-Codex: side by side

SpecLlama 4 MaverickGPT-5.2-CodexWinner
Intelligence14.340.1GPT-5.2-Codex
Output speed94 t/s146 t/sGPT-5.2-Codex
Output price$0.60/1M$14.00/1MLlama 4 Maverick
Context1049K400KLlama 4 Maverick
ParamsTie
ProviderMetaOpenAITie

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 →

GPT-5.2-Codex

Pros

  • +Very large context window for extended inputs
  • +Strong coding specialization
  • +Seamless integration of text and image data

Cons

  • Restricted to text and image modalities
  • High resource demands at maximum context length
  • No native support for audio or video
Full GPT-5.2-Codex review →

Frequently asked questions

It depends on your needs. Llama 4 Maverick and GPT-5.2-Codex 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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