Llama 4 Scout on LiveCodeBench: 33.2% accuracy

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Summary

Llama 4 Scout from Meta scored 33.2 on LiveCodeBench, placing it top 50 (rank 31 of 43) on this benchmark. This places the model in the weak band for LiveCodeBench. Below the threshold for production reliance on this benchmark family. Consider only for narrow, fully-tested tasks.

Model details

• Provider: Meta

• Model key: meta-llama/llama-4-scout

• Context length: 172,000 tokens

• License: Llama 4

• Open weights: yes

Benchmark methodology

Secondary metrics

• Readability score: 0.0

• Toxicity score: 0.000

• Ethics score: 0.000

Run this evaluation yourself

Stratix evaluates Llama 4 Scout continuously across 11+ benchmarks. To replicate this LiveCodeBench evaluation on your own model, traces, or a different benchmark configuration, open the model in Stratix.

Source: Stratix evaluation 68fa0477f82ed9ed12809c18. Updated 2025-10-23.