Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude 4.1 Opus Thinking
58
0/8 categoriesGLM-5V-Turbo
~58
1/8 categoriesClaude 4.1 Opus Thinking· GLM-5V-Turbo
Treat this as a split decision. Claude 4.1 Opus Thinking makes more sense if you want the stronger reasoning-first profile; GLM-5V-Turbo is the better fit if agentic is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Claude 4.1 Opus Thinking and GLM-5V-Turbo finish on the same overall score, so this is less about a single winner and more about where the edge shows up. The headline says tie; the benchmark table is where the real choice happens.
Claude 4.1 Opus Thinking is the reasoning model in the pair, while GLM-5V-Turbo 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.
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 | Claude 4.1 Opus Thinking | GLM-5V-Turbo |
|---|---|---|
| AgenticGLM-5V-Turbo wins | ||
| Terminal-Bench 2.0 | 43.3% | — |
| BrowseComp | 54% | 51.9% |
| OSWorld-Verified | 47% | 62.3% |
| BrowseComp-VL | — | 51.9% |
| OSWorld | — | 62.3% |
| AndroidWorld | — | 75.7% |
| WebVoyager | — | 88.5% |
| Coding | ||
| HumanEval | 68% | — |
| SWE-bench Verified | 74.5% | — |
| LiveCodeBench | 45% | — |
| SWE-bench Pro | 29% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 78% | — |
| OfficeQA Pro | 69% | — |
| 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 | 86% | — |
| LongBench v2 | 62% | — |
| MRCRv2 | 74% | — |
| Knowledge | ||
| MMLU | 76% | — |
| GPQA | 80.9% | — |
| SuperGPQA | 72% | — |
| MMLU-Pro | 76% | — |
| HLE | 8% | — |
| FrontierScience | 41% | — |
| SimpleQA | 36% | — |
| Instruction Following | ||
| IFEval | 88% | — |
| Multilingual | ||
| MGSM | 82% | — |
| MMLU-ProX | 73% | — |
| Mathematics | ||
| AIME 2023 | 38% | — |
| AIME 2024 | 40% | — |
| AIME 2025 | 90% | — |
| HMMT Feb 2023 | 34% | — |
| HMMT Feb 2024 | 36% | — |
| HMMT Feb 2025 | 35% | — |
| BRUMO 2025 | 37% | — |
| MATH-500 | 87% | — |
Claude 4.1 Opus Thinking and GLM-5V-Turbo are tied on overall score, so the right pick depends on which category matters most for your use case.
GLM-5V-Turbo has the edge for agentic tasks in this comparison, averaging 58 versus 47.3. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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