Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-5 (Reasoning)
82
Winner · 0/8 categoriesHolo3-122B-A10B
~79
1/8 categoriesGLM-5 (Reasoning)· Holo3-122B-A10B
Pick GLM-5 (Reasoning) if you want the stronger benchmark profile. Holo3-122B-A10B only becomes the better choice if agentic is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
GLM-5 (Reasoning) has the cleaner overall profile here, landing at 82 versus 79. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
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 (Reasoning). That is roughly Infinityx on output cost alone. GLM-5 (Reasoning) is the reasoning model in the pair, while Holo3-122B-A10B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GLM-5 (Reasoning) 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 (Reasoning) | Holo3-122B-A10B |
|---|---|---|
| AgenticHolo3-122B-A10B wins | ||
| Terminal-Bench 2.0 | 81% | — |
| BrowseComp | 80% | — |
| OSWorld-Verified | 74% | 78.8% |
| Coding | ||
| HumanEval | 88% | — |
| SWE-bench Verified | 62% | — |
| LiveCodeBench | 58% | — |
| SWE-bench Pro | 67% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 74% | — |
| OfficeQA Pro | 84% | — |
| Reasoning | ||
| MuSR | 90% | — |
| BBH | 91% | — |
| LongBench v2 | 86% | — |
| MRCRv2 | 87% | — |
| Knowledge | ||
| MMLU | 96% | — |
| GPQA | 94% | — |
| SuperGPQA | 92% | — |
| MMLU-Pro | 81% | — |
| HLE | 29% | — |
| FrontierScience | 83% | — |
| SimpleQA | 92% | — |
| Instruction Following | ||
| IFEval | 92% | — |
| Multilingual | ||
| MGSM | 89% | — |
| MMLU-ProX | 85% | — |
| Mathematics | ||
| AIME 2023 | 98% | — |
| AIME 2024 | 99% | — |
| AIME 2025 | 98% | — |
| HMMT Feb 2023 | 94% | — |
| HMMT Feb 2024 | 96% | — |
| HMMT Feb 2025 | 95% | — |
| BRUMO 2025 | 96% | — |
| MATH-500 | 92% | — |
GLM-5 (Reasoning) is ahead overall, 82 to 79. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 74% and 78.8%.
Holo3-122B-A10B has the edge for agentic tasks in this comparison, averaging 78.9 versus 78.3. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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