CMATH
ERNIE-4.5-300B-A47B 96.7% leads since June 2025 1.7K Chinese elementary-school math word problems. Final-answer accuracy.
Saturated.
- Made by
- Xiaomi AI Lab
- Released
- June 2023
- Kind
- Word problems
- Level
- School
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Strongest model tested
-
DeepSeek-V4-Pro #69 on the capability index - Last in a launch post
- April 2026, dropped after it saturated
- Last model added
- April 2026
In the authors’ words
We present the Chinese Elementary School Math Word Problems (CMATH) dataset, comprising 1.7k elementary school-level math word problems with detailed annotations, source from actual Chinese workbooks and exams. This dataset aims to provide a benchmark tool for assessing the following question: to what grade level of elementary school math do the abilities of popular large language models (LLMs) correspond? We evaluate a variety of popular LLMs, including both commercial and open-source options, and discover that only GPT-4 achieves success (accuracy ≥ 60%) across all six elementary school grades, while other models falter at different grade levels. Furthermore, we assess the robustness of several top-performing LLMs by augmenting the original problems in the CMATH dataset with distracting information. Our findings reveal that GPT-4 is able to maintains robustness, while other model fail. We anticipate that our study will expose limitations in LLMs' arithmetic and reasoning capabilities, and promote their ongoing development and advancement.
ERNIE-4.5-300B-A47B leads with 96.7% among models released by April 2026
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 April 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon - GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1 ERNIE-4.5-300B-A47B 96.7%
- 2 DeepSeek-V4-Pro 90.9%
- 3 DeepSeek-V3 90.7%
- 4 DeepSeek-V2 (MoE-236B, May 2024) 81.9%
- 5 Moonlight-16B-A3B 81.1%
- 6 DeepSeek LLM 67B 80.3%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | ERNIE-4.5-300B-A47B | 96.7% | Jun 2025 | Lab model card | |
| 2 | DeepSeek-V4-Pro | 90.9% | Apr 2026 | Lab model card | |
| 3 | DeepSeek-V3 | 90.7% | Dec 2024 | Lab model card | |
| 4 | DeepSeek-V2 (MoE-236B, May 2024) | 81.9% | May 2024 | Lab model card | |
| 5 | Moonlight-16B-A3B | 81.1% | Feb 2025 | Lab model card | |
| 6 | DeepSeek LLM 67B | 80.3% | Jan 2024 | Lab model card |
4 models have held number one in labs’ own numbers since its release in June 2023
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
DeepSeek’s own number for DeepSeek-V3 passed 85% in December 2024
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs headline it less often now, last in April 2026
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 |
|---|---|---|---|
| Apr 24, 2026 | DeepSeek-V4-Pro | 90.9 | CMath (EM) |
| Jun 30, 2025 | ERNIE-4.5-300B-A47B | 96.7 | CMath |
| Mar 16, 2025 | ERNIE 4.5 | CMath | |
| Feb 22, 2025 | Moonlight-16B-A3B | 81.1 | CMath |
| Dec 26, 2024 | DeepSeek-V3 | 90.7 | CMath (EM) |
3 system cards report it, from 2 labs
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 |
|---|---|---|---|---|
| Jun 29, 2025 | ERNIE-4.5-300B-A47B technical report | 96.7 | CMath (Table 5) | Capabilities |
| May 7, 2024 | DeepSeek-V2 (MoE-236B, May 2024) technical report | 81.9 | CMath 0-shot, DeepSeek-V2 Chat (RL) (Table 3) | Capabilities |
| Jan 5, 2024 | DeepSeek LLM 67B technical report | 80.3 | CMath, DeepSeek 67B Chat (Table 6). 85.4 with tool-integrated reasoning (Table 16) | Capabilities |
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