Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-5
75
0/8 categoriesHolo3-122B-A10B
~79
Winner · 1/8 categoriesGLM-5· Holo3-122B-A10B
Pick Holo3-122B-A10B if you want the stronger benchmark profile. GLM-5 only becomes the better choice if you want the cheaper token bill or you need the larger 200K context window.
Holo3-122B-A10B is clearly ahead on the aggregate, 79 to 75. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Holo3-122B-A10B's sharpest advantage is in agentic, where it averages 78.9 against 58.3. The single biggest benchmark swing on the page is OSWorld-Verified, 58% to 78.8%.
Holo3-122B-A10B is also the more expensive model on tokens at $0.40 input / $3.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-5. That is roughly Infinityx on output cost alone. GLM-5 gives you the larger context window at 200K, compared with 64K for Holo3-122B-A10B.
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-5 | Holo3-122B-A10B |
|---|---|---|
| AgenticHolo3-122B-A10B wins | ||
| Terminal-Bench 2.0 | 56.2% | — |
| BrowseComp | 62% | — |
| OSWorld-Verified | 58% | 78.8% |
| Coding | ||
| HumanEval | 80% | — |
| SWE-bench Verified | 77.8% | — |
| LiveCodeBench | 52% | — |
| SWE-bench Pro | 46% | — |
| SWE-Rebench | 62.8% | — |
| React Native Evals | 74.2% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 66% | — |
| OfficeQA Pro | 73% | — |
| Reasoning | ||
| MuSR | 82% | — |
| BBH | 83% | — |
| LongBench v2 | 77% | — |
| MRCRv2 | 73% | — |
| Knowledge | ||
| MMLU | 91.7% | — |
| GPQA | 86% | — |
| SuperGPQA | 84% | — |
| MMLU-Pro | 82% | — |
| HLE | 30.5% | — |
| FrontierScience | 74% | — |
| SimpleQA | 84% | — |
| Instruction Following | ||
| IFEval | 85% | — |
| Multilingual | ||
| MGSM | 84% | — |
| MMLU-ProX | 81% | — |
| Mathematics | ||
| AIME 2023 | 88% | — |
| AIME 2024 | 90% | — |
| AIME 2025 | 93.3% | — |
| HMMT Feb 2023 | 84% | — |
| HMMT Feb 2024 | 86% | — |
| HMMT Feb 2025 | 85% | — |
| BRUMO 2025 | 87% | — |
| MATH-500 | 97.4% | — |
Holo3-122B-A10B is ahead overall, 79 to 75. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 58% and 78.8%.
Holo3-122B-A10B has the edge for agentic tasks in this comparison, averaging 78.9 versus 58.3. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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