Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-4.5-Air
35
0/8 categoriesGranite-4.0-1B
~40
Winner · 1/8 categoriesGLM-4.5-Air· Granite-4.0-1B
Pick Granite-4.0-1B if you want the stronger benchmark profile. GLM-4.5-Air only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Granite-4.0-1B is clearly ahead on the aggregate, 40 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Granite-4.0-1B's sharpest advantage is in knowledge, where it averages 31.7 against 31. The single biggest benchmark swing on the page is HumanEval, 27% to 73%.
BenchLM keeps the benchmark table and the operator tradeoffs on the same page so a better score does not hide a materially slower, pricier, or smaller-context model.
Runtime metrics show N/A when BenchLM does not have a sourced snapshot for that exact model. The scoring rules and freshness policy are documented on the methodology page.
| Benchmark | GLM-4.5-Air | Granite-4.0-1B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 28% | — |
| OSWorld-Verified | 28% | — |
| Coding | ||
| HumanEval | 27% | 73% |
| SWE-bench Verified | 15% | — |
| LiveCodeBench | 15% | — |
| SWE-bench Pro | 14% | — |
| SWE-Rebench | 38.3% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 36% | — |
| OfficeQA Pro | 44% | — |
| Reasoning | ||
| MuSR | 31% | — |
| BBH | 63% | 59.7% |
| LongBench v2 | 47% | — |
| MRCRv2 | 51% | — |
| KnowledgeGranite-4.0-1B wins | ||
| MMLU | 35% | 59.7% |
| GPQA | 34% | 29.7% |
| SuperGPQA | 32% | — |
| MMLU-Pro | 51% | 32.9% |
| HLE | 4% | — |
| FrontierScience | 37% | — |
| SimpleQA | 33% | — |
| Instruction Following | ||
| IFEval | — | 78.5% |
| Multilingual | ||
| MGSM | — | 27.5% |
| Mathematics | ||
| AIME 2023 | 35% | — |
| AIME 2024 | 37% | — |
| AIME 2025 | 36% | — |
| HMMT Feb 2023 | 31% | — |
| HMMT Feb 2024 | 33% | — |
| HMMT Feb 2025 | 32% | — |
| BRUMO 2025 | 34% | — |
Granite-4.0-1B is ahead overall, 40 to 35. The biggest single separator in this matchup is HumanEval, where the scores are 27% and 73%.
Granite-4.0-1B has the edge for knowledge tasks in this comparison, averaging 31.7 versus 31. Inside this category, MMLU is the benchmark that creates the most daylight between them.
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