GLM-4.5-Air places in the top three on SysBench.
Open weights
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 | |
|---|---|---|---|---|
| MMLU | 87.4% | #35 of 127 | Model card | |
| MMLU-Pro | 81.4% | #62 of 151 | Model card | |
| Vectara Hallucination Leaderboard (2025 dataset) | 9.30% | #49 of 104 | Official leaderboard | |
| LMArena (Elo) | 1,373 | #158 of 333 | Official leaderboard | |
| IFEval | 86.3% | #62 of 126 | Model card | |
| SysBench | 77.4% | #3 of 6 | Model card | |
| LongBench v2 | 48.6% | #18 of 33 | Official leaderboard | |
| Wer wird Millionär? LLM Benchmark | 1867.0 | #45 of 76 | Official leaderboard | |
| Humanity's Last Exam | 8.12% | #33 of 47 | Official leaderboard | |
| SimpleQA | 14.5% | #42 of 59 | Model card | |
| Vectara Hallucination Leaderboard (HHEM) | 1.90% | #129 of 148 | Official leaderboard | |
| MultiChallenge | 42.5% | #32 of 36 | Model card | |
| MultiNRC | 10.4% | #36 of 38 | Official leaderboard |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MATH-500 | 98.1% | #5 of 67 | Model card | |
| AIME 2024 | 89.4% | #21 of 87 | Model card | |
| ForecastBench | 61.6 | #31 of 86 | Official leaderboard | |
| GPQA Diamond | 75% | #141 of 284 | Model card | |
| BRUMO 2025 | 90% | #23 of 42 | Official leaderboard | |
| AIME 2025 | 83.3% | #31 of 53 | Official leaderboard | |
| HMMT 2025 | 69.2% | #31 of 53 | Official leaderboard | |
| CMIMC 2025 | 71.9% | #25 of 33 | Official leaderboard | |
| SMT 2025 | 77.4% | #32 of 40 | Official leaderboard | |
| Novel logical reasoning problems expert evaluation (Z.ai) | 53.4 | #2 of 2 | Model card |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveCodeBench v5 | 70.7% | #11 of 44 | Model card | |
| ArtifactsBench | 48.9% | #11 of 20 | Official leaderboard | |
| AutoCodeBench | 40.8% | #22 of 34 | Official leaderboard | |
| SWE-bench Verified | 57.6% | #113 of 150 | Model card | |
| SciCode | 37.3% | #36 of 47 | Model card | |
| GSO-Bench | 2.94% | #28 of 30 | Official leaderboard |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Berkeley Function Calling Leaderboard (BFCL) | 76.4% | #8 of 47 | Model card | |
| Galileo Agent Leaderboard v2 | 44% | #9 of 21 | Official leaderboard | |
| PinchBench | 69.4% | #24 of 48 | Official leaderboard | |
| SnakeBench | 24 | #93 of 183 | Official leaderboard | |
| LisanBench | 238.7 | #85 of 133 | Official leaderboard | |
| ClawBench V2 | 2.30% | #5 of 7 | Official leaderboard | |
| MCP-Universe | 19.5% | #26 of 30 | Official leaderboard | |
| Terminal-Bench | 30% | #21 of 22 | Model card | |
| BrowseComp | 21.3% | #77 of 77 | Model card |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SimpleSafetyTests | 99% | #38 of 75 | Official leaderboard | |
| Anthropic Red Team | 99% | #39 of 75 | Official leaderboard | |
| HELM Safety | 90.1 | #47 of 75 | Official leaderboard | |
| AIR-Bench 2024 | 57.1% | #56 of 82 | Official leaderboard | |
| FORTRESS | 63.2% | #65 of 66 | Official leaderboard | |
| SafetyBench | 87.8% | #2 of 2 | Model card |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HELM Capabilities | 67.0 | #28 of 60 | Official leaderboard | |
| Artificial Analysis Intelligence Index v2 | 64.8 | #2 of 2 | Model card |
Every result in the longer documents the lab published with it. 20 of them aren't in the launch post.