long context benchmark
LongCodeBench
LongCodeBench evaluates the code understanding and comprehension abilities of large language models at very long context windows, scaling up to 1M tokens. It tests whether models can reason about extensive codebases provided in a single prompt by answering multiple-choice questions about the code.
Updated Aug 11, 2026
Models2
Model coverage2
MetricScore
EvidenceB
LongCodeBench Ranking
Higher score ranks better on this benchmark.
| 1 | AM Nova 2 LiteAmazon | 84.0% | 100.0% | 2 | C | |
| 2 | AMNova 2 ProAmazon | 84.0% | 0.0% | 2 | C |
LongCodeBench Score Distribution
A closer view of the leading scores on this benchmark.
LongCodeBench Highlights
The leading models and scores on this benchmark.
What is LongCodeBench?
What LongCodeBench measures and how its scores work.
LongCodeBench evaluates the code understanding and comprehension abilities of large language models at very long context windows, scaling up to 1M tokens. It tests whether models can reason about extensive codebases provided in a single prompt by answering multiple-choice questions about the code.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- LongCodeBench
- Modality
- text
- Primary category
- long context
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- longcodebench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about LongCodeBench.
Which model scores highest on LongCodeBench?
Nova 2 Lite is currently ranked first with 84.0%.
What does LongCodeBench measure?
LongCodeBench evaluates the code understanding and comprehension abilities of large language models at very long context windows, scaling up to 1M tokens. It tests whether models can reason about extensive codebases provided in a single prompt by answering multiple-choice questions about the code.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.