STEM & Reasoning Benchmark

OJBench

OJBench - competitive programming and reasoning benchmark.

Category

STEM & Reasoning

Score type

percent

Scale

relative

higher is better

Models tested

18

What is OJBench?

OJBench evaluates competitive programming and reasoning on olympiad-informatics style problems. The model has to write full programs that pass hidden judge tests — correctness and runtime limits both count.

What does it test?

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

  • algorithmic problem solving with strict test sets
  • runtime and memory limits, as in a real judge
  • complete program implementations
  • reasoning about edge cases and complexity

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 OJBench benchmark?

OJBench evaluates competitive programming and reasoning on olympiad-informatics style problems. The model has to write full programs that pass hidden judge tests — correctness and runtime limits both count.

What does OJBench test?

OJBench mainly measures hard reasoning in science, technology, engineering and math. Concretely, it checks: algorithmic problem solving with strict test sets; runtime and memory limits, as in a real judge; complete program implementations.

How is the OJBench score calculated?

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

Where do I get OJBench 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/ojbench/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 18 models tested

Reset
# Model Score Date Source Verified
1 Kimi K2.6
Moonshot AI
60.6%
23.08.2026 Report Verified
2 Kimi K2.5
Moonshot AI
54.7%
23.08.2026 Report Verified
3 Qwen3.5-27B
Qwen Team (Alibaba Cloud)
40.1%
01.02.2026 Report Unverified
4 Qwen3.5-122B-A10B
Qwen Team (Alibaba Cloud)
39.5%
01.02.2026 Report Verified
5 Qwen3.5-35B-A3B
Qwen Team (Alibaba Cloud)
36%
01.02.2026 Report Unverified
6 Qwen3-235B-A22B
Qwen Team (Alibaba Cloud)
32.7%
01.02.2026 Report Unverified
7 MiniCPM5-2B
OpenBMB
32.5%
— Report Verified
8 Qwen3-Next-80B-A3B-Thinking
Qwen
29.7%
10.09.2025 Report Verified
9 Qwen3-30B-A3B-Thinking-2507
Qwen
25.1%
31.07.2025 Report Verified
10 Qwen3.5-4B
Qwen
24.1%
01.02.2026 Report Verified
11 granite-4.2-3B
IBM
21.8%
— Report Verified
12 Qwen3-30B-A3B
Qwen
20.7%
29.04.2025 Report Verified
13 Nemotron-3-Nano-4B
NVIDIA
20%
— Report Verified
14 Gemma4-E4B
Google
19%
— Report Verified
15 Gemma4-E2B
Google
11.6%
— Report Verified
16 LFM2.5-2.6B
LiquidAI
11.2%
— Report Verified
17 LFM2.5-8B-A1B
LiquidAI
8.2%
— Report Verified
18 Qwen3.5-2B
Qwen Team (Alibaba Cloud)
2.6%
— Report Verified

What now?

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