MT-AIME2024
Qwen3-235B-A22B 80.8% leads since Apr 2025 Dropped Models solve the 30 AIME 2024 problems translated into 55 languages. A rule-based verifier checks each final answer.
It is a subset of the MCLM multilingual math benchmark.
- Level
- Competition The strongest students, in olympiad-style contests
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Short answer A number, word or short string matched to a key.
Qwen3-235B-A22B leads with 80.8% among models released by Apr 2025
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
The newest model with a score here came out in Apr 2025, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 1 Qwen3-235B-A22B 80.8%
- 2 Qwen3-32B 75%
- 3 Qwen3-30B-A3B 73.9%
- 4 Qwen3-14B 73.3%
- 5 Qwen3-8B 65.4%
- 6 Qwen3-4B 60.7%
- 7 Qwen3-1.7B 36.1%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Qwen3-235B-A22B | 80.8% | Apr 2025 | Model card | |
| 2 | Qwen3-32B | 75% | May 2025 | Model card | |
| 3 | Qwen3-30B-A3B | 73.9% | May 2025 | Model card | |
| 4 | Qwen3-14B | 73.3% | May 2025 | Model card | |
| 5 | Qwen3-8B | 65.4% | May 2025 | Model card | |
| 6 | Qwen3-4B | 60.7% | May 2025 | Model card | |
| 7 | Qwen3-1.7B | 36.1% | May 2025 | Model card |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No launch post has listed it since Apr 2025
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 29 Apr 2025 | Qwen3-235B-A22B | 80.8 | MT-AIME2024 |
7 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 14 May 2025 | Qwen3-8B technical report | 65.4 | MT-AIME2024, thinking mode (Table 17). Non-thinking 16.6 (Table 18) | Capabilities |
| 14 May 2025 | Qwen3-4B technical report | 60.7 | MT-AIME2024, thinking mode (Table 17). Non-thinking 13.9 (Table 18) | Capabilities |
| 14 May 2025 | Qwen3-32B technical report | 75 | MT-AIME2024, thinking mode (Table 13). Non-thinking 24.1 (Table 14) | Capabilities |
| 14 May 2025 | Qwen3-30B-A3B technical report | 73.9 | MT-AIME2024, thinking mode (Table 15). Non-thinking 24.6 (Table 16) | Capabilities |
| 14 May 2025 | Qwen3-235B-A22B technical report | 80.8 | MT-AIME2024, thinking mode (Table 11). Non-thinking 32.4 (Table 12) | Capabilities |
| 14 May 2025 | Qwen3-14B technical report | 73.3 | MT-AIME2024, thinking mode (Table 15). Non-thinking 23.2 (Table 16) | Capabilities |
| 14 May 2025 | Qwen3-1.7B technical report | 36.1 | MT-AIME2024, thinking mode (Table 19). Non-thinking 4.9 (Table 20) | Capabilities |
More in Multilingual
- MMMLU In use MMLU professionally translated into 14 languages. Multiple-choice accuracy. Claude Mythos Preview 92.7%
- WMT24++ In use English-to-55-language translation of WMT24 test data. Scored with automatic metrics such as MetricX or xCOMET.
K-EXAONE 90.5% - MMLU-ProX In use MMLU-Pro translated into up to 29 languages with expert review. Multiple-choice accuracy per language. Qwen3.7-Max 87%
- CLIcK In use Models answer 1,995 multiple-choice questions on Korean language and culture. Questions come from official Korean exams and textbooks in eleven categories.
Solar Open 2 90.7% - Global MMLU Lite 3.0 In use Models answer 400 human-translated MMLU questions per language in 23 languages. Version 3.0 adds Czech, Hungarian, Oriya, Slovak and Tajik and updates Italian. Accuracy.
Inkling 88.7% - MMMB In use Models answer multiple-choice questions about images in six languages across 15 categories. The set has about 12,000 questions. LFM2.5-VL-3B 83%