Llama 4 Maverick on LiveCodeBench: 45.4% accuracy

The LayerLens Team covers AI model evaluations, benchmark analysis, and the evolving landscape of AI performance. For the latest independent evaluation data, explore Stratix.

Summary

Llama 4 Maverick from Meta scored 45.4 on LiveCodeBench, placing it top 25 (rank 22 of 43) on this benchmark. This places the model in the below-frontier band for LiveCodeBench. Acceptable for cost-sensitive workloads or as part of a multi-model ensemble. Not a default choice for high-stakes routing.

Model details

• Provider: Meta

• Model key: meta-llama/llama-4-maverick

• Context length: 131,072 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 Maverick 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 68f59050edbb131068938b4c. Updated 2025-10-20._