STEM & Reasoning Benchmark

LiveCodeBench v6

LiveCodeBench v6 - competitive programming evaluation with latest problems.

Category

STEM & Reasoning

Score type

percent

Scale

100%

higher is better

Models tested

37

What is LiveCodeBench v6?

LiveCodeBench v6 is a continuously refreshed competitive programming benchmark: it collects problems from Codeforces, AtCoder and LeetCode by publication date, so the model can never memorise the answers from training data. v6 is the edition with the newest problem window (2025).

What does it test?

LiveCodeBench v6 measures hard reasoning in science, technology, engineering and math. In detail, it checks:

  • competitive programming with correct solutions
  • no contamination: only problems newer than the model's cutoff
  • pass@1 on executable, test-based tasks
  • algorithmic skill across contest platforms

How to read the score

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Frequently asked questions

What is the LiveCodeBench v6 benchmark?

LiveCodeBench v6 is a continuously refreshed competitive programming benchmark: it collects problems from Codeforces, AtCoder and LeetCode by publication date, so the model can never memorise the answers from training data. v6 is the edition with the newest problem window (2025).

What does LiveCodeBench v6 test?

LiveCodeBench v6 mainly measures hard reasoning in science, technology, engineering and math. Concretely, it checks: competitive programming with correct solutions; no contamination: only problems newer than the model's cutoff; pass@1 on executable, test-based tasks.

How is the LiveCodeBench v6 score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get LiveCodeBench v6 data and scores?

The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/livecodebench-v6/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 37 models tested

Reset
# Model Score Date Source Verified
26 Qwen3-30B-A3B-Thinking-2507
Qwen
66%
31.07.2025 Report Verified
27 granite-4.2-3B
IBM
58.9%
— Report Verified
28 Qwen3-30B-A3B
Qwen
57.4%
29.04.2025 Report Verified
29 Qwen3.5-4B
Qwen
55.8%
01.02.2026 Report Verified
30 Gemma4-E4B
Google
52%
02.07.2026 Report Verified
31 Nemotron-3-Nano-4B
NVIDIA
50.7%
— Report Verified
32 Gemma4-E2B
Google
44%
02.07.2026 Report Verified
33 Qwen3-VL-30B-A3B
Qwen
42.6%
04.10.2025 Report Verified
34 LFM2.5-2.6B
LiquidAI
42.1%
— Report Verified
35 LFM2.5-8B-A1B
LiquidAI
39.8%
— Report Verified
36 Gemma3-27B
Google
29.1%
02.07.2026 Report Unverified
37 Qwen3.5-2B
Qwen Team (Alibaba Cloud)
20.2%
— Report Verified
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What now?

You've seen how models score on LiveCodeBench v6 — here's what to do next.