
Llama 4 Maverick on SWE-bench Lite (SWE-agent): 8.0% accuracy
Author:
The LayerLens Team
Last updated:
Published:
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Summary
Llama 4 Maverick from Meta scored 8.0 on SWE-bench Lite (SWE-agent), placing it top 50 (rank 32 of 45) on this benchmark. This places the model in the weak band for SWE-bench Lite (SWE-agent). 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-maverickContext length: 131,072 tokens
License: Llama 4
Open weights: yes
Benchmark methodology
Secondary metrics
Readability score: 14.0
Toxicity score: 0.002
Ethics score: 0.000
Run this evaluation yourself
Stratix evaluates Llama 4 Maverick continuously across 11+ benchmarks. To replicate this SWE-bench Lite (SWE-agent) evaluation on your own model, traces, or a different benchmark configuration, open the model in Stratix.
_Source: Stratix evaluation 68f7c86fc3a4f102252df0e6. Updated 2025-10-22._