GLM-4-0414 model series README (GitHub) 14 Apr 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
GLM-Z1-32B-0414 ranks first on SysBench.
11
Benchmarks with a score
1
Ranked first, out of five or more models
1
In the top three
Z.ai Apr 2025
GLM-Z1-32B-0414
Open weights Mid-size
No Epoch Capabilities Index score yet
- SuperGPQA 52.6% #24 /26
- LiveCodeBench v5 59.1% #29 /44
- SysBench 81.2% #1 /6
Where it ranks
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.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SysBench | 81.2% | #1 of 6 | Model card | |
| Arena-Hard-Auto | 90.6% | #10 of 39 | Model card | |
| IFEval | 84.5% | #79 of 126 | Model card | |
| SuperGPQA | 52.6% | #24 of 26 | Model card |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Misguided Attention | 53.5% | #16 of 45 | Official leaderboard | |
| AIME 2024 | 80.8% | #38 of 87 | Model card | |
| GPQA Diamond | 66.1% | #189 of 284 | Model card | |
| AIME 2025 | 63.6% | #121 of 143 | Model card | |
| Omni-MATH | 68.4% | #4 of 4 | Model card |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveCodeBench v5 | 59.1% | #29 of 44 | Model card |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Berkeley Function Calling Leaderboard (BFCL) | 70.5% | #20 of 47 | Model card |
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.