Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-5V-Turbo
~58
0/8 categoriesGPT-5.4 mini
68
Winner · 1/8 categoriesGLM-5V-Turbo· GPT-5.4 mini
Pick GPT-5.4 mini if you want the stronger benchmark profile. GLM-5V-Turbo only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.4 mini is clearly ahead on the aggregate, 68 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 mini's sharpest advantage is in agentic, where it averages 65.6 against 58. The single biggest benchmark swing on the page is OSWorld-Verified, 62.3% to 72.1%.
GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $1.20 input / $4.00 output per 1M tokens for GLM-5V-Turbo. GPT-5.4 mini 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. GPT-5.4 mini gives you the larger context window at 400K, 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-5.4 mini |
|---|---|---|
| AgenticGPT-5.4 mini wins | ||
| BrowseComp | 51.9% | — |
| OSWorld-Verified | 62.3% | 72.1% |
| BrowseComp-VL | 51.9% | — |
| OSWorld | 62.3% | — |
| AndroidWorld | 75.7% | — |
| WebVoyager | 88.5% | — |
| Terminal-Bench 2.0 | — | 60% |
| MCP Atlas | — | 57.7% |
| Toolathlon | — | 42.9% |
| Tau2-Telecom | — | 93.4% |
| Coding | ||
| SWE-bench Pro | — | 54.4% |
| 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 | — | 76.6% |
| MMMU-Pro w/ Python | — | 78% |
| OmniDocBench 1.5 | — | 0.1263 |
| Reasoning | ||
| MRCRv2 | — | 40.7% |
| MRCR v2 64K-128K | — | 47.7% |
| MRCR v2 128K-256K | — | 33.6% |
| Graphwalks BFS 128K | — | 76.3% |
| Graphwalks Parents 128K | — | 71.5% |
| Knowledge | ||
| GPQA | — | 88% |
| HLE | — | 41.5% |
| HLE w/o tools | — | 28.2% |
| Instruction Following | ||
| IFEval | — | 87.4% |
| Multilingual | ||
| Coming soon | ||
| Mathematics | ||
| MATH-500 | — | 97.4% |
GPT-5.4 mini is ahead overall, 68 to 58. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 62.3% and 72.1%.
GPT-5.4 mini has the edge for agentic tasks in this comparison, averaging 65.6 versus 58. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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