reasoning benchmark
LiveCodeBench v5 Leaderboard
LiveCodeBench is a holistic and contamination-free evaluation benchmark for large language models for code. It continuously collects new problems from programming contests (LeetCode, AtCoder, CodeForces) and evaluates four different scenarios: code generation, self-repair, code execution, and test output prediction. Problems are annotated with release dates to enable evaluation on unseen problems released after a model's training cutoff.
Updated Aug 17, 2026
Models9
Model coverage9
MetricScore
EvidenceB
LiveCodeBench v5 Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score75.6% | Percentile100.0% | Participants9 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score63.9% | Percentile87.5% | Participants9 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score61.4% | Percentile75.0% | Participants9 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score60.5% | Percentile62.5% | Participants9 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score28.9% | Percentile50.0% | Participants9 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score25.7% | Percentile37.5% | Participants9 | EvidenceC | Evaluated |
| Rank07 | ModelGO | Score25.7% | Percentile25.0% | Participants9 | EvidenceC | Evaluated |
| Rank08 | ModelGO | Score18.6% | Percentile12.5% | Participants9 | EvidenceC | Evaluated |
| Rank09 | ModelGO | Score18.6% | Percentile0.0% | Participants9 | EvidenceC | Evaluated |
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.
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.
Ranking basisThis livecodebench v5 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.
- 01GOGemini 2.5 ProGoogle
- Score
- 75.6%
- Price
- $1.3 input / $10 output per 1M tokens
- Speed
- Up to 86 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
- 02GOGemini 2.5 FlashGoogle
- Score
- 63.9%
- Price
- $0.30 input / $2.5 output per 1M tokens
- Speed
- Up to 85 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
- 03ACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen Team
- Score
- 61.4%
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
- 04OPMiniCPM-SALAOpenBMB
- Score
- 60.5%
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
- 05GOGemini 2.0 Flash-LiteGoogle
- Score
- 28.9%
- Speed
- Up to 85 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 75.6%. 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?
What LiveCodeBench v5 measures and how its scores work.
LiveCodeBench is a holistic and contamination-free evaluation benchmark for large language models for code. It continuously collects new problems from programming contests (LeetCode, AtCoder, CodeForces) and evaluates four different scenarios: code generation, self-repair, code execution, and test output prediction. Problems are annotated with release dates to enable evaluation on unseen problems released after a model's training cutoff.
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
- Yes
- Evaluation key
- livecodebench-v5|llm-stats-current
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 75.6%.
What does LiveCodeBench v5 measure?
LiveCodeBench is a holistic and contamination-free evaluation benchmark for large language models for code. It continuously collects new problems from programming contests (LeetCode, AtCoder, CodeForces) and evaluates four different scenarios: code generation, self-repair, code execution, and test output prediction. Problems are annotated with release dates to enable evaluation on unseen problems released after a model's training cutoff.
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?
Yes. This benchmark can contribute to the current LLMBoard capability score.