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reasoning benchmark

LiveCodeBench v5 Leaderboard

LiveCodeBench v5 is a benchmark for evaluating large language models on code using newly collected programming contest problems.

Updated Sep 5, 2026

Models9
Model coverage9
MetricScore
EvidenceB

On this page

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  • Highlights
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  • FAQ

LiveCodeBench v5 Ranking

Higher score ranks better on this benchmark.

9 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelGOGemini 2.5 ProGoogleScore75.60%Percentile100.00%Participants9EvidenceCEvaluatedSep 8, 2026
Rank02ModelGOGemini 2.5 FlashGoogleScore63.90%Percentile87.50%Participants9EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore61.40%Percentile75.00%Participants9EvidenceCEvaluatedSep 8, 2026
Rank04ModelOPMiniCPM-SALAOpenBMBScore60.48%Percentile62.50%Participants9EvidenceCEvaluatedSep 8, 2026
Rank05ModelGOGemini 2.0 Flash-LiteGoogleScore28.90%Percentile50.00%Participants9EvidenceCEvaluatedSep 8, 2026
Rank06ModelGOGemma 3n E4B InstructedGoogleScore25.70%Percentile37.50%Participants9EvidenceCEvaluatedSep 8, 2026
Rank07ModelGOGemma 3n E4B Instructed LiteRT PreviewGoogleScore25.70%Percentile25.00%Participants9EvidenceCEvaluatedSep 8, 2026
Rank08ModelGOGemma 3n E2B InstructedGoogleScore18.60%Percentile12.50%Participants9EvidenceCEvaluatedSep 8, 2026
Rank09ModelGOGemma 3n E2B Instructed LiteRT (Preview)GoogleScore18.60%Percentile0.00%Participants9EvidenceCEvaluatedSep 8, 2026

LiveCodeBench v5 Highlights

The leading models and scores on this benchmark.

LiveCodeBench v5 Score Distribution

A closer view of the leading scores on this benchmark.

LiveCodeBench v5

The Top AI Models for LiveCodeBench v5

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

What is LiveCodeBench v5?

What LiveCodeBench v5 measures and how its scores work.

LiveCodeBench v5 is a code evaluation benchmark that collects problems from LeetCode, AtCoder, and CodeForces and annotates them with release dates.

It measures code generation, self-repair, code execution, and test output prediction using the Score metric, reported as a ratio.

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

Family
LiveCodeBench v5
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.

Which model scores highest on LiveCodeBench v5?

Gemini 2.5 Pro is currently ranked first with 75.60%.

What are the top three models on LiveCodeBench v5?

The current leaders are Gemini 2.5 Pro (75.60%), Gemini 2.5 Flash (63.90%), and Qwen3 VL 235B A22B Instruct (61.40%).

Which LiveCodeBench v5 model has the lowest official input price?

Gemini 2.5 Flash has the lowest matched official input price at $0.30 input / $2.5 output per 1M tokens.

Which models are fastest among LiveCodeBench v5 results?

The fastest matched records are Gemini 2.5 Flash (85.00 tok/s via Google), Gemini 2.0 Flash-Lite (85.00 tok/s via Google), and Gemini 2.5 Pro (18.89 tok/s via Google).

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 measure?

It measures code generation, self-repair, code execution, and test output prediction using the Score metric, reported as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

9 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 #1Gemini 2.5 Pro75.60%
Rank #2Gemini 2.5 Flash63.90%
Rank #3Qwen3 VL 235B A22B Instruct61.40%
Rank #4MiniCPM-SALA60.48%

Ranking basisThis livecodebench v5 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
    GO
    Gemini 2.5 ProGoogle
    Score
    75.60%
    Price
    $1.3 input / $10 output per 1M tokens
    Speed
    Up to 18.89 tok/s via Google

    Strengths

    • Ranks #1 of 9 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LiveCodeBench v5, not total model capability
  2. 02
    GO
    Gemini 2.5 FlashGoogle
    Score
    63.90%
    Price
    $0.30 input / $2.5 output per 1M tokens
    Speed
    Up to 85.00 tok/s via Google

    Strengths

    • Ranks #2 of 9 compared models
    • 88th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LiveCodeBench v5, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    61.40%

    Strengths

    • Ranks #3 of 9 compared models
    • 75th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LiveCodeBench v5, not total model capability
  4. 04
    OP
    OpenBMB
    Score
    60.48%

    Strengths

    • Ranks #4 of 9 compared models
    • 63th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LiveCodeBench v5, not total model capability
  5. 05
    GO
    Google
    Score
    28.90%
    Speed
    Up to 85.00 tok/s via Google

    Strengths

    • Ranks #5 of 9 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LiveCodeBench v5, not total model capability

Selection summary

Best AI Models for LiveCodeBench v5

Gemini 2.5 Pro currently leads LiveCodeBench v5 with 75.60%. 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.

Qwen3 VL 235B A22B Instruct
MiniCPM-SALA
Gemini 2.0 Flash-Lite
Benchmark rank #1Gemini 2.5 Pro75.60% · $1.3 input / $10 output per 1M tokens
Benchmark rank #2Gemini 2.5 Flash63.90% · $0.30 input / $2.5 output per 1M tokens
Benchmark rank #3Qwen3 VL 235B A22B Instruct61.40%