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Gemini 2.5 Flash 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.

Gemini 2.5 Flash vs Llama 4 Maverick: side by side

SpecGemini 2.5 FlashLlama 4 MaverickWinner
Intelligence20.618.4Gemini 2.5 Flash
Output speed220 t/s96 t/sGemini 2.5 Flash
Output price$2.50/1M$0.60/1MLlama 4 Maverick
Context1049K1049KTie
ParamsTie
TypeProprietaryOpen-weightTie
ProviderGoogleMetaTie

Gemini 2.5 Flash

Pros

  • +Broad native support for multiple input modalities
  • +Efficient handling of very large contexts
  • +Strong balance of speed and capability
  • +Versatile across text, vision and audio tasks

Cons

  • Lower peak performance than larger Gemini variants on complex tasks
  • Speed optimizations may reduce depth on nuanced reasoning
  • Practical limits on full 1M-token context utilization
Full Gemini 2.5 Flash 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. Gemini 2.5 Flash 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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