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agents benchmark

SkillsBench Leaderboard

SkillsBench evaluates coding agents on self-contained programming tasks across diverse software development scenarios.

Updated Oct 23, 2026

Models12
Model coverage12
MetricScore
EvidenceB

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  • Ranking
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  • FAQ

SkillsBench Ranking

Higher score ranks better on this benchmark.

12 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.8 MaxAlibaba Cloud / Qwen TeamScore70.20%Percentile100.00%Participants12EvidenceCEvaluatedOct 22, 2026
Rank02ModelINLing 3.1 FlashInclusionaiScore68.70%Percentile90.91%Participants12EvidenceCEvaluatedOct 12, 2026
Rank03ModelSAAtria Dawn PreviewShanghai AI LaboratoryScore66.40%Percentile81.82%Participants12EvidenceCEvaluatedOct 12, 2026
Rank04ModelTEHy4 previewTencentScore62.90%Percentile72.73%Participants12EvidenceCEvaluatedOct 22, 2026
Rank05ModelACQwen3.7 MaxAlibaba Cloud / Qwen TeamScore59.20%Percentile63.64%Participants12EvidenceCEvaluatedOct 22, 2026
Rank06ModelTEHy3TencentScore55.30%Percentile54.55%Participants12EvidenceCEvaluatedOct 22, 2026
Rank07ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore54.90%Percentile45.45%Participants12EvidenceCEvaluatedOct 22, 2026
Rank08ModelACQwen3.6-27BAlibaba Cloud / Qwen TeamScore48.20%Percentile36.36%Participants12EvidenceCEvaluatedOct 22, 2026
Rank09ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore45.70%Percentile27.27%Participants12EvidenceCEvaluatedOct 22, 2026
Rank10ModelINLing 3.0 FlashInclusionaiScore44.80%Percentile18.18%Participants12EvidenceCEvaluatedOct 22, 2026
Rank11ModelMEMuse Glimmer-30BMetaScore44.30%Percentile9.09%Participants12EvidenceCEvaluatedOct 22, 2026
Rank12ModelACQwen3.6-35B-A3BAlibaba Cloud / Qwen TeamScore28.70%Percentile0.00%Participants12EvidenceCEvaluatedOct 22, 2026

SkillsBench Highlights

The leading models and scores on this benchmark.

SkillsBench Score Distribution

A closer view of the leading scores on this benchmark.

SkillsBench

The Top AI Models for SkillsBench

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is SkillsBench?

What SkillsBench measures and how its scores work.

SkillsBench is a benchmark for evaluating coding agents on self-contained programming tasks.

It measures practical engineering skills across diverse software development scenarios, using the Score metric in ratio units.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
SkillsBench
Modality
text
Primary category
agents
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about SkillsBench.

Which model scores highest on SkillsBench?

Qwen3.8 Max is currently ranked first with 70.20%.

What are the top three models on SkillsBench?

The current leaders are Qwen3.8 Max (70.20%), Ling 3.1 Flash (68.70%), and Atria Dawn Preview (66.40%).

Which SkillsBench model has the lowest official input price?

Qwen3.6-35B-A3B has the lowest matched official input price at $0.38 input / $2.3 output per 1M tokens.

Which models are fastest among SkillsBench results?

No matched runtime record is currently available.

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does SkillsBench measure?

It measures practical engineering skills across diverse software development scenarios, using the Score metric in ratio units.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

12 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.

Rank #1Qwen3.8 Max70.20%
Rank #2Ling 3.1 Flash68.70%
Rank #3Atria Dawn Preview66.40%
Rank #4Hy4 preview62.90%

Ranking basisThis skillsbench AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AC
    Qwen3.8 MaxAlibaba Cloud / Qwen Team
    Score
    70.20%
    Price
    $2.0 input / $6.0 output per 1M tokens

    Strengths

    • Ranks #1 of 12 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SkillsBench, not total model capability
  2. 02
    IN
    Ling 3.1 FlashInclusionai
    Score
    68.70%

    Strengths

    • Ranks #2 of 12 compared models
    • 91th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SkillsBench, not total model capability
  3. 03
    SA
    Shanghai AI Laboratory
    Score
    66.40%

    Strengths

    • Ranks #3 of 12 compared models
    • 82th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SkillsBench, not total model capability
  4. 04
    TE
    Tencent
    Score
    62.90%

    Strengths

    • Ranks #4 of 12 compared models
    • 73th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SkillsBench, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    59.20%
    Price
    $2.5 input / $7.5 output per 1M tokens

    Strengths

    • Ranks #5 of 12 compared models
    • 64th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SkillsBench, not total model capability

Selection summary

Best AI Models for SkillsBench

Qwen3.8 Max currently leads SkillsBench with 70.20%. 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.

Atria Dawn Preview
Hy4 preview
Qwen3.7 Max
Benchmark rank #1Qwen3.8 Max70.20% · $2.0 input / $6.0 output per 1M tokens
Benchmark rank #2Ling 3.1 Flash68.70%
Benchmark rank #3Atria Dawn Preview66.40%