reasoning benchmark
LiveCodeBench(01-09) Leaderboard
LiveCodeBench(01-09) is a benchmark for evaluating large language models on code using newly collected programming contest problems.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
LiveCodeBench(01-09) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelDE | Score41.80% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
LiveCodeBench(01-09) Highlights
The leading models and scores on this benchmark.
The Top AI Models for LiveCodeBench(01-09)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis livecodebench(01-09) AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01DEDeepSeek
- Score
- 41.80%
- Speed
- Up to 100.00 tok/s via DeepSeek
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures LiveCodeBench(01-09), not total model capability
Selection summary
Best AI Models for LiveCodeBench(01-09)
DeepSeek-V2.5 currently leads LiveCodeBench(01-09) with 41.80%. 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(01-09)?
What LiveCodeBench(01-09) measures and how its scores work.
LiveCodeBench is a contamination-free evaluation benchmark for large language models for code, with problems from LeetCode, AtCoder, and CodeForces annotated with release dates.
It evaluates code generation, self-repair, code execution, and test output prediction.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- LiveCodeBench(01-09)
- 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(01-09).
Which model scores highest on LiveCodeBench(01-09)?
DeepSeek-V2.5 is currently ranked first with 41.80%.
What are the top three models on LiveCodeBench(01-09)?
The current leaders are DeepSeek-V2.5 (41.80%).
Which LiveCodeBench(01-09) model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among LiveCodeBench(01-09) results?
The fastest matched records are DeepSeek-V2.5 (100.00 tok/s via DeepSeek).
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.