STEM & Reasoning Benchmark

AIME 26

AIME 26 - American Invitational Mathematics Examination 2026 (I & II).

Category

STEM & Reasoning

Score type

percent

Scale

100%

higher is better

Models tested

33

What is AIME 26?

AIME 2025 uses the problems of the American Invitational Mathematics Examination 2025 (I & II) as a benchmark. These are competition math problems that only have their exact numeric answer graded. Because the problems are new and public, a model can barely rely on training-data memorisation — the year variants show whether a model really computes or just remembers.

What does it test?

AIME 26 measures hard reasoning in science, technology, engineering and math. In detail, it checks:

  • competition-level math problem solving
  • exact numeric answers (graded answers must be exact)
  • multi-step reasoning without tools (unless explicitly 'with tools')
  • fresh problems that defeat memorised answer lists

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 AIME 26 benchmark?

AIME 2025 uses the problems of the American Invitational Mathematics Examination 2025 (I & II) as a benchmark. These are competition math problems that only have their exact numeric answer graded. Because the problems are new and public, a model can barely rely on training-data memorisation — the year variants show whether a model really computes or just remembers.

What does AIME 26 test?

AIME 26 mainly measures hard reasoning in science, technology, engineering and math. Concretely, it checks: competition-level math problem solving; exact numeric answers (graded answers must be exact); multi-step reasoning without tools (unless explicitly 'with tools').

How is the AIME 26 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 AIME 26 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/aime-26/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 33 models tested

Reset
# Model Score Date Source Verified
1 GLM-5.2
Zhipu AI
99.2%
17.06.2026 Report Verified
2 Qwen3.8-27B
Qwen Team (Alibaba Cloud)
98.8%
21.10.2026 Report Unverified
3 Muse-Spark-Open-816B-A42B
Meta Superintelligence Lab
98.3%
— Report Unverified
4 Kimi K2.6
Moonshot AI
96.4%
23.08.2026 Report Verified
5 Kolibri-1
Aleph Alpha
96%
03.10.2026 Report Verified
6 Bonsai 2 27B — GGUF
Prism ML
95.83%
17.09.2026 Report Verified
7 Kimi K2.5
Moonshot AI
95.8%
23.08.2026 Report Verified
8 NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
NVIDIA
95.4%
— Report Unverified
9 Nanbeige4.3-33B
Nanbeige
95.2%
24.10.2026 Report Verified
10 Ripple-65B Preview
Ricursive Intelligence
95%
— Report Verified
11 Muse-Glimmer-30B
Meta Superintelligence Lab
94.7%
01.08.2026 Meta Superintelligence Lab (official model card); KRAFTON re-eval (Raon-1-mini-preview card, gpt-5.6-luna harness): 92.9 Verified
12 DeepSeek-V4-Pro
DeepSeek
94.6%
17.06.2026 Report Unverified
13 Qwen3.6-27B
Qwen Team (Alibaba Cloud)
94.1%
22.04.2026 Qwen Team (official model card) Verified
14 Raon-1 mini
KRAFTON AI
93.3%
21.10.2026 Report Verified
15 Qwen3.6-35B-A3B
Qwen Team (Alibaba Cloud)
92.7%
16.04.2026 Qwen Team (official model card); KRAFTON re-eval (Raon-1-mini-preview card, gpt-5.6-luna harness): 92.9 Verified
16 Qwen3.5-27B
Qwen Team (Alibaba Cloud)
92.6%
16.04.2026 Qwen Team (official model card - comparison) Unverified
17 Qwen3.5-35B-A3B
Qwen Team (Alibaba Cloud)
91%
16.04.2026 Qwen Team (official model card - comparison) Unverified
18 Spark-X2.5-4B
SparkLLM (XHToken)
90.7%
— Report Verified
19 Xing4.0-29B-A4B
China Telecom AI
90%
16.09.2026 Report Verified
20 Gemma4-31B-it
Google
89.2%
16.04.2026 Qwen Team (official model card - comparison) Unverified
21 Gemma4-26B-A4B
Google
88.3%
16.04.2026 Qwen Team (official model card - comparison); KRAFTON re-eval (Raon-1-mini-preview card, gpt-5.6-luna harness): 87.1 Unverified
22 MiniCPM5-2B
OpenBMB
86.5%
— Report Verified
23 granite-4.2-3B
IBM
83.5%
— Report Verified
24 Qwen3.5-4B
Qwen
83%
— Report Verified
25 Gemma4-12B
Google
82.1%
02.07.2026 Report Verified
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What now?

You've seen how models score on AIME 26 — here's what to do next.