IMOAnswerBench
IMOAnswerBench - International Mathematical Olympiad answer evaluation benchmark.
Category
STEM & Reasoning
Score type
percent
Scale
100%
higher is better
Models tested
19
What is IMOAnswerBench?
IMOAnswerBench evaluates on International Mathematical Olympiad problems, but only grades the final answer value (answer-only evaluation) instead of full proofs. That makes automated scoring objective and is a good indicator of mathematical ability without the subjectivity of proof grading.
What does it test?
IMOAnswerBench measures hard reasoning in science, technology, engineering and math. In detail, it checks:
- hard olympiad problems with exact final answers
- long chains of mathematical reasoning
- correct numeric results within tolerance-free grading
- a large, systematically selected olympiad problem set
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 IMOAnswerBench benchmark?
IMOAnswerBench evaluates on International Mathematical Olympiad problems, but only grades the final answer value (answer-only evaluation) instead of full proofs. That makes automated scoring objective and is a good indicator of mathematical ability without the subjectivity of proof grading.
What does IMOAnswerBench test?
IMOAnswerBench mainly measures hard reasoning in science, technology, engineering and math. Concretely, it checks: hard olympiad problems with exact final answers; long chains of mathematical reasoning; correct numeric results within tolerance-free grading.
How is the IMOAnswerBench 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 IMOAnswerBench 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/imoanswerbench/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Model scores 19 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
DeepSeek-V4-Pro
DeepSeek
|
93%
|
04.06.2026 | Report | Unverified |
| 2 |
Kimi K2.6
Moonshot AI
|
91.1%
|
04.06.2026 | Report | Unverified |
| 3 |
GLM-5.2
Zhipu AI
|
91%
|
17.06.2026 | Report | Verified |
| 4 |
DeepSeek-V4-Pro
DeepSeek
|
89.8%
|
26.06.2026 | Report | Verified |
| 5 |
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
NVIDIA
|
88.6%
|
04.06.2026 | Report | Verified |
| 6 |
DeepSeek-V4-Flash
DeepSeek
|
88.4%
|
26.06.2026 | Report | Verified |
| 7 |
Kimi K2.5
Moonshot AI
|
81.8%
|
23.08.2026 | Report | Verified |
| 8 |
Qwen3.6-27B
Qwen Team (Alibaba Cloud)
|
80.8%
|
22.04.2026 | Qwen Team (official model card) | Verified |
| 9 |
Qwen3.5-27B
Qwen Team (Alibaba Cloud)
|
79.9%
|
16.04.2026 | Qwen Team (official model card - comparison) | Unverified |
| 10 |
Qwen3.6-35B-A3B
Qwen Team (Alibaba Cloud)
|
78.9%
|
16.04.2026 | Qwen Team (official model card) | Verified |
| 11 |
Qwen3.5-35B-A3B
Qwen Team (Alibaba Cloud)
|
76.8%
|
16.04.2026 | Qwen Team (official model card - comparison) | Unverified |
| 12 |
Gemma4-31B-it
Google
|
74.5%
|
16.04.2026 | Qwen Team (official model card - comparison) | Unverified |
| 13 |
Gemma4-26B-A4B
Google
|
74.3%
|
16.04.2026 | Qwen Team (official model card - comparison) | Unverified |
| 14 |
Spark-X2.5-4B
SparkLLM (XHToken)
|
74.2%
|
— | Report | Verified |
| 15 |
Qwen3.5-4B
Qwen
|
68.5%
|
— | Report | Verified |
| 16 |
Gemma4-12B
Google
|
57.2%
|
— | Report | Verified |
| 17 |
Spark-X2.5-1.7B
SparkLLM (XHToken)
|
45.4%
|
— | Report | Verified |
| 18 |
Gemma4-E4B
Google
|
26.9%
|
— | Report | Verified |
| 19 |
Gemma4-E2B
Google
|
22.6%
|
— | Report | Verified |