Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude 4.1 Opus
62
Winner · 0/8 categoriesGLM-5V-Turbo
~58
1/8 categoriesClaude 4.1 Opus· GLM-5V-Turbo
Pick Claude 4.1 Opus if you want the stronger benchmark profile. GLM-5V-Turbo only becomes the better choice if agentic is the priority.
Claude 4.1 Opus is clearly ahead on the aggregate, 62 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
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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 | Claude 4.1 Opus | GLM-5V-Turbo |
|---|---|---|
| AgenticGLM-5V-Turbo wins | ||
| Terminal-Bench 2.0 | 43.3% | — |
| BrowseComp | 62% | 51.9% |
| OSWorld-Verified | 57% | 62.3% |
| BrowseComp-VL | — | 51.9% |
| OSWorld | — | 62.3% |
| AndroidWorld | — | 75.7% |
| WebVoyager | — | 88.5% |
| Coding | ||
| HumanEval | 68% | — |
| SWE-bench Verified | 74.5% | — |
| LiveCodeBench | 40% | — |
| SWE-bench Pro | 47% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 82% | — |
| OfficeQA Pro | 79% | — |
| Design2Code | — | 94.8% |
| Flame-VLM-Code | — | 93.8% |
| Vision2Web | — | 31.0% |
| ImageMining | — | 30.7% |
| MMSearch | — | 72.9% |
| MMSearch-Plus | — | 30.0% |
| SimpleVQA | — | 78.2% |
| Facts-VLM | — | 58.6% |
| V* | — | 89.0% |
| Reasoning | ||
| MuSR | 72% | — |
| BBH | 81% | — |
| LongBench v2 | 71% | — |
| MRCRv2 | 71% | — |
| Knowledge | ||
| MMLU | 76% | — |
| GPQA | 76% | — |
| SuperGPQA | 74% | — |
| HLE | 11% | — |
| FrontierScience | 68% | — |
| SimpleQA | 74% | — |
| Instruction Following | ||
| IFEval | 83% | — |
| Multilingual | ||
| MGSM | 85% | — |
| MMLU-ProX | 80% | — |
| Mathematics | ||
| AIME 2023 | 76% | — |
| AIME 2024 | 78% | — |
| AIME 2025 | 77% | — |
| HMMT Feb 2023 | 72% | — |
| HMMT Feb 2024 | 74% | — |
| HMMT Feb 2025 | 73% | — |
| BRUMO 2025 | 75% | — |
| MATH-500 | 81% | — |
Claude 4.1 Opus is ahead overall, 62 to 58. The biggest single separator in this matchup is BrowseComp, where the scores are 62% and 51.9%.
GLM-5V-Turbo has the edge for agentic tasks in this comparison, averaging 58 versus 52.8. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
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