Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-5V-Turbo
~58
0/8 categoriesGPT-4.1
64
Winner · 1/8 categoriesGLM-5V-Turbo· GPT-4.1
Pick GPT-4.1 if you want the stronger benchmark profile. GLM-5V-Turbo only becomes the better choice if you want the cheaper token bill.
GPT-4.1 is clearly ahead on the aggregate, 64 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4.1's sharpest advantage is in agentic, where it averages 64.7 against 58. The single biggest benchmark swing on the page is BrowseComp, 51.9% to 73%.
GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $1.20 input / $4.00 output per 1M tokens for GLM-5V-Turbo. That is roughly 2.0x on output cost alone. GPT-4.1 gives you the larger context window at 1M, compared with 200K for GLM-5V-Turbo.
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-5V-Turbo | GPT-4.1 |
|---|---|---|
| AgenticGPT-4.1 wins | ||
| BrowseComp | 51.9% | 73% |
| OSWorld-Verified | 62.3% | 63% |
| BrowseComp-VL | 51.9% | — |
| OSWorld | 62.3% | — |
| AndroidWorld | 75.7% | — |
| WebVoyager | 88.5% | — |
| Terminal-Bench 2.0 | — | 61% |
| Coding | ||
| SWE-bench Verified | — | 54.6% |
| SWE-bench Pro | — | 51% |
| Multimodal & Grounded | ||
| 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% | — |
| MMMU-Pro | — | 70% |
| OfficeQA Pro | — | 78% |
| Reasoning | ||
| LongBench v2 | — | 80% |
| MRCRv2 | — | 82% |
| Knowledge | ||
| MMLU | — | 90.2% |
| GPQA | — | 66.3% |
| FrontierScience | — | 61% |
| Instruction Following | ||
| IFEval | — | 87.4% |
| Multilingual | ||
| MMLU-ProX | — | 69% |
| Mathematics | ||
| AIME 2024 | — | 26.4% |
GPT-4.1 is ahead overall, 64 to 58. The biggest single separator in this matchup is BrowseComp, where the scores are 51.9% and 73%.
GPT-4.1 has the edge for agentic tasks in this comparison, averaging 64.7 versus 58. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
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