agents benchmark
CL-bench Leaderboard
CL-bench is an open-source benchmark with its own data and rubrics for evaluating models on coding and agentic tasks, scored using a setup fully aligned with the official procedure.
Updated Aug 17, 2026
Models2
Model coverage2
MetricScore
EvidenceB
CL-bench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelTE | Score23.8% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelMI | Score20.5% | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
CL-bench Highlights
The leading models and scores on this benchmark.
CL-bench Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for CL-bench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis cl-bench 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.
- 01TEHy3Tencent
- Score
- 23.8%
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures CL-bench, not total model capability
- 02MIMiniMax M3MiniMax
- Score
- 20.5%
- Price
- $0.30 input / $1.2 output per 1M tokens
- Speed
- Up to 214 tok/s via Together
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures CL-bench, not total model capability
Selection summary
Best AI Models for CL-bench
Hy3 currently leads CL-bench with 23.8%. 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 CL-bench?
What CL-bench measures and how its scores work.
CL-bench is an open-source benchmark with its own data and rubrics for evaluating models on coding and agentic tasks, scored using a setup fully aligned with the official procedure.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- CL-bench
- Modality
- text
- Primary category
- agents
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- cl-bench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about CL-bench.
Which model scores highest on CL-bench?
Hy3 is currently ranked first with 23.8%.
What does CL-bench measure?
CL-bench is an open-source benchmark with its own data and rubrics for evaluating models on coding and agentic tasks, scored using a setup fully aligned with the official procedure.
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.