The LayerLens Team covers AI model evaluations, benchmark analysis, and the evolving landscape of AI performance. For the latest independent evaluation data, explore $LayerLens/$.
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
LayerLens 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 $LayerLens/$.
_Source: LayerLens evaluation 68f59050edbb131068938b4c. Updated 2025-10-20._