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Llama 4 Scout vs GPT-5.1

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.

Quick verdict: which should you choose?

Choose Llama 4 Scout if you need

  • Extremely large 10M token context for long text and image sequences
  • Lowest output price at $0.3 per million tokens
  • Open-weight model from Meta with native multimodal input
  • Strong reasoning over very long inputs at 112.66 t/s

Choose GPT-5.1 if you need

  • Highest intelligence index of 20.4 for complex multimodal tasks
  • Native support for images, text, and files in one model
  • Proprietary OpenAI model with strong multimodal integration
  • Very large 400K context at 112.2 t/s output speed

Verdict

Llama 4 Scout leads on context window size (10M vs 400K) and price ($0.3/M vs $10/M) while matching GPT-5.1's output speed almost exactly. GPT-5.1 leads on intelligence index (20.4 vs 10) and adds file support beyond text and images. Llama 4 Scout's open-weight nature contrasts with GPT-5.1's proprietary access.

Llama 4 Scout vs GPT-5.1: side by side

SpecLlama 4 ScoutGPT-5.1Winner
Intelligence1020.4GPT-5.1
Output speed111 t/s95 t/sLlama 4 Scout
Output price$0.30/1M$10.00/1MLlama 4 Scout
Context10000K400KLlama 4 Scout
ParamsTie
ProviderMetaOpenAITie

Detailed analysis

Intelligence

Winner: GPT-5.1

GPT-5.1 scores 20.4 on the intelligence index compared to Llama 4 Scout's 10. This gap indicates stronger performance on complex reasoning tasks according to the provided metrics.

Pricing

Winner: Llama 4 Scout

Llama 4 Scout costs $0.3 per million output tokens while GPT-5.1 costs $10 per million. The tenfold price difference favors Llama 4 Scout for high-volume usage.

Context Window

Winner: Llama 4 Scout

Llama 4 Scout offers a 10,000,000 token context versus GPT-5.1's 400,000 tokens. This makes Llama 4 Scout suitable for much longer sequences of text and images.

Speed & Modalities

Winner: Tie

Output speeds are nearly identical at 112.66 t/s and 112.2 t/s. Llama 4 Scout supports text and images while GPT-5.1 adds file support but neither includes audio or video.

Llama 4 Scout

Pros

  • +Extremely large context window
  • +Native multimodal input support
  • +Strong reasoning over long inputs

Cons

  • High compute cost at maximum context
  • Limited to text and image modalities only
  • May exhibit latency on very long sequences
Full Llama 4 Scout review →

GPT-5.1

Pros

  • +Very large context window
  • +Native support for images, text, and files
  • +Strong multimodal integration

Cons

  • No audio or video modalities
  • Performance details unverified beyond specs
  • Potential latency with maximum context
Full GPT-5.1 review →

Summary: Llama 4 Scout vs GPT-5.1

Choose Llama 4 Scout for maximum context length, lowest cost, and open weights. Choose GPT-5.1 when higher intelligence scores and file handling are priorities. Both models have similar speeds and share the same core multimodal limitations.

Frequently asked questions

GPT-5.1 scores higher on intelligence while Llama 4 Scout wins on context size and price; the better choice depends on whether intelligence or scale and cost matter most.

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