code benchmark
SecCodeBench Leaderboard
SecCodeBench evaluates LLM coding agents on secure code generation and vulnerability detection, testing the ability to produce code that is both functional and free from security vulnerabilities.
Updated Aug 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
SecCodeBench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score68.3% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
SecCodeBench Highlights
The leading models and scores on this benchmark.
The Top AI Models for SecCodeBench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis seccodebench AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACQwen3.5-397B-A17BAlibaba Cloud / Qwen Team
- Score
- 68.3%
- Price
- $0.60 input / $3.6 output per 1M tokens
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures SecCodeBench, not total model capability
Selection summary
Best AI Models for SecCodeBench
Qwen3.5-397B-A17B currently leads SecCodeBench with 68.3%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is SecCodeBench?
What SecCodeBench measures and how its scores work.
SecCodeBench evaluates LLM coding agents on secure code generation and vulnerability detection, testing the ability to produce code that is both functional and free from security vulnerabilities.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- SecCodeBench
- Modality
- text
- Primary category
- code
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- seccodebench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about SecCodeBench.
Which model scores highest on SecCodeBench?
Qwen3.5-397B-A17B is currently ranked first with 68.3%.
What does SecCodeBench measure?
SecCodeBench evaluates LLM coding agents on secure code generation and vulnerability detection, testing the ability to produce code that is both functional and free from security vulnerabilities.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 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.