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reasoning benchmark

LiveCodeBench v5 24.12-25.2 Leaderboard

LiveCodeBench v5 24.12-25.2 evaluates large language models on coding problems collected from LeetCode, AtCoder, and CodeForces.

Updated Sep 5, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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LiveCodeBench v5 24.12-25.2 Ranking

Higher score ranks better on this benchmark.

1 row
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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMAKimi-k1.5Moonshot AIScore62.50%Percentile100.00%Participants1EvidenceCEvaluatedSep 8, 2026

LiveCodeBench v5 24.12-25.2 Highlights

The leading models and scores on this benchmark.

Rank #1Kimi-k1.562.50%

The Top AI Models for LiveCodeBench v5 24.12-25.2

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

Ranking basisThis livecodebench v5 24.12-25.2 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
    MA
    Moonshot AI
    Score
    62.50%

    Strengths

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

    Considerations

    • This result measures LiveCodeBench v5 24.12-25.2, not total model capability

Selection summary

Best AI Models for LiveCodeBench v5 24.12-25.2

Kimi-k1.5 currently leads LiveCodeBench v5 24.12-25.2 with 62.50%. 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 LiveCodeBench v5 24.12-25.2?

What LiveCodeBench v5 24.12-25.2 measures and how its scores work.

LiveCodeBench v5 24.12-25.2 is a benchmark for evaluating large language models on coding problems, with problems annotated by release dates.

It measures code generation, self-repair, code execution, and test output prediction, reported as Score in ratio units.

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

Family
LiveCodeBench v5 24.12-25.2
Modality
text
Primary category
reasoning
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 LiveCodeBench v5 24.12-25.2.

Which model scores highest on LiveCodeBench v5 24.12-25.2?

Kimi-k1.5 is currently ranked first with 62.50%.

What are the top three models on LiveCodeBench v5 24.12-25.2?

The current leaders are Kimi-k1.5 (62.50%).

Which LiveCodeBench v5 24.12-25.2 model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among LiveCodeBench v5 24.12-25.2 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 LiveCodeBench v5 24.12-25.2 measure?

It measures code generation, self-repair, code execution, and test output prediction, reported as Score in ratio units.

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.

Kimi-k1.5
Benchmark rank #1Kimi-k1.562.50%