AIME 2025
AIME 2025 problems
2025mathsaturated
Score in %
Definition
- Version
- 2025
- Category
- math
- Maintainer
- not in the notes
- Status
- saturated
- Home page
- not in the notes
Sources
- allenai/Olmo-3-32B-Think , Hugging Face huggingface.co https://huggingface.co/allenai/Olmo-3-32B-Think
- huggingface.co/microsoft/Phi-4-mini-flash-reasoning https://huggingface.co/microsoft/Phi-4-mini-flash-reasoning
- HuggingFaceTB/SmolLM3-3B , Hugging Face huggingface.co https://huggingface.co/HuggingFaceTB/SmolLM3-3B
Scores at a Glance
Score in %
Higher is better for this unit.
1
Falcon-H1R-7BTechnology Innovation Institute (TII)
Olmo 3 32B ThinkAllen AI
SmolLM3-3BHugging FaceCard 3-model comparison table; mode label not extracted
Phi-4-mini-flash-reasoningMicrosoft AI
Falcon-H1R-7BTechnology Innovation Institute (TII)83.1 %
vendor-reported2
Olmo 3 32B ThinkAllen AI72.5 %
vendor-reported3
SmolLM3-3BHugging FaceCard 3-model comparison table; mode label not extracted36.7 %
vendor-reported4
Phi-4-mini-flash-reasoningMicrosoft AI33.59 %
vendor-reported0255075100
Where this comes from
Each bar is one model, with its most independent recorded score. Hatched bars are vendor-reported; the word beside each bar says who ran it. Settings and dates differ between rows; the Scores table below has every result.
Scores
| Model | Score | Who ran it | Setting | View or population | Date | Source |
|---|---|---|---|---|---|---|
Trinity-Large-Thinking | 96.3 % | vendor-reported | – | Trinity-Large-Thinking model card | 1 Apr 2026 | huggingface.co |
MiMo-V2-Flash | 94.1 % | vendor-reported | – | MiMo-V2-Flash model card, post-trained model table | 16 Dec 2025 | huggingface.co |
DeepSeek-V3.1 | 88.4 % | vendor-reported | Thinking mode, Pass@1 | DeepSeek-V3.1 model card | 21 Aug 2025 | huggingface.co |
EXAONE 4.0 (32B) | 85.3 % | vendor-reported | Reasoning mode | EXAONE 4.0 model card | Jul 2025 | huggingface.co |
Falcon-H1R-7B | 83.1 % | vendor-reported | – | – | – | huggingface.co |
Olmo 3 32B Think | 72.5 % | vendor-reported | – | – | – | huggingface.co |
Llama 3.1 Nemotron Ultra 253B v1 | 72.5 % | vendor-reported | Reasoning on, pass@1 | Nemotron Ultra model card | Apr 2025 | huggingface.co |
Ling-1T | 70.42 % | vendor-reported | Average over 4,000 output tokens per problem | Ant Group claim reported by AI News | Oct 2025 | artificialintelligence-news.com |
Llama 3.3 Nemotron Super 49B v1 | 58.4 % | vendor-reported | Reasoning on, pass@1 | Nemotron Super model card | Mar 2025 | huggingface.co |
Olmo 3.1 32B Instruct | 57.9 % | vendor-reported | – | Olmo 3.1 32B Instruct model card | Dec 2025 | huggingface.co |
SmolLM3-3B | 36.7 % | vendor-reported | Card 3-model comparison table; mode label not extracted | – | – | huggingface.co |
Phi-4-mini-flash-reasoning | 33.59 % | vendor-reported | – | – | – | huggingface.co |
SmolLM3-3B | 9.3 % | vendor-reported | Card 5-model comparison table; mode label not extracted | – | – | huggingface.co |
Where this comes from
Scores from different settings, harnesses or dates are not directly comparable; the row says which. Sorted by score, highest first, as a reading aid, not a ranking.
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "AIME 2025", https://aurion.semai.id/benchmarks/aime-2025/, records of October 2026.





