GLM-4-0414 model series README (GitHub) Apr 14, 2025
- AIME24 80.8
- AIME25 63.6
- Omni-MATH 68.4
- LCB (2408-2501) 59.1
- SysBench (ISR) 81.2
- IFEval 84.5
- ArenaHard 90.6
- BFCL (v3) 70.5
- SuperGPQA 52.6
- GPQA 66.1
GLM-Z1-32B-0414 ranks first on SysBench.
Open weights Mid-size
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SysBench | 81.2% | #1 of 6 | Lab model card | |
| Arena-Hard-Auto | 90.6% | #10 of 39 | Lab model card | |
| IFEval | 84.5% | #86 of 135 | Lab model card | |
| SuperGPQA | 52.6% | #29 of 35 | Lab model card |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Misguided Attention | 53.5% | #16 of 45 | Official leaderboard | |
| AIME 2024 | 80.8% | #38 of 88 | Lab model card | |
| GPQA Diamond | 66.1% | #201 of 302 | Lab model card | |
| AIME 2025 | 63.6% | #121 of 143 | Lab model card | |
| Omni-MATH | 68.4% | #4 of 4 | Lab model card |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveCodeBench v5 | 59.1% | #30 of 47 | Lab model card |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Berkeley Function Calling Leaderboard (BFCL) | 70.5% | #15 of 41 | Lab model card |
The Self-Reported Index fits one score to the 8 capability results Z.ai reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 130.8 to 134.9. How we compute it.
The benchmarks the lab chose to headline, with the scores it gave.