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reasoning benchmark

DS-Arena-Code Leaderboard

Data Science Arena Code benchmark for evaluating LLMs on realistic data science code generation tasks. Tests capabilities in complex data processing, analysis, and programming across popular Python libraries used in data science workflows.

Updated Aug 17, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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DS-Arena-Code Ranking

Higher score ranks better on this benchmark.

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelDEDeepSeek-V2.5DeepSeekScore63.1%Percentile100.0%Participants1EvidenceCEvaluatedAug 17, 2026

DS-Arena-Code Highlights

The leading models and scores on this benchmark.

Rank #1DeepSeek-V2.563.1%

The Top AI Models for DS-Arena-Code

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

Ranking basisThis ds-arena-code 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.

  1. 01
    DE
    DeepSeek-V2.5DeepSeek
    Score
    63.1%
    Speed
    Up to 100 tok/s via DeepSeek

    Strengths

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

    Considerations

    • This result measures DS-Arena-Code, not total model capability

Selection summary

Best AI Models for DS-Arena-Code

DeepSeek-V2.5 currently leads DS-Arena-Code with 63.1%. 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.

Benchmark rank #1DeepSeek-V2.563.1% · Up to 100 tok/s via DeepSeek

What is DS-Arena-Code?

What DS-Arena-Code measures and how its scores work.

Data Science Arena Code benchmark for evaluating LLMs on realistic data science code generation tasks. Tests capabilities in complex data processing, analysis, and programming across popular Python libraries used in data science workflows.

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

Family
DS-Arena-Code
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
ds-arena-code|llm-stats-current

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

FAQ

Common questions about DS-Arena-Code.

Which model scores highest on DS-Arena-Code?

DeepSeek-V2.5 is currently ranked first with 63.1%.

What does DS-Arena-Code measure?

Data Science Arena Code benchmark for evaluating LLMs on realistic data science code generation tasks. Tests capabilities in complex data processing, analysis, and programming across popular Python libraries used in data science workflows.

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.