Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3 Pro
78
Winner · 1/8 categoriesGLM-5V-Turbo
~58
0/8 categoriesGemini 3 Pro· GLM-5V-Turbo
Pick Gemini 3 Pro if you want the stronger benchmark profile. GLM-5V-Turbo only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Gemini 3 Pro is clearly ahead on the aggregate, 78 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro's sharpest advantage is in agentic, where it averages 71.1 against 58. The single biggest benchmark swing on the page is BrowseComp, 83% to 51.9%.
Gemini 3 Pro gives you the larger context window at 2M, 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 | Gemini 3 Pro | GLM-5V-Turbo |
|---|---|---|
| AgenticGemini 3 Pro wins | ||
| Terminal-Bench 2.0 | 68% | — |
| BrowseComp | 83% | 51.9% |
| OSWorld-Verified | 66% | 62.3% |
| BrowseComp-VL | — | 51.9% |
| OSWorld | — | 62.3% |
| AndroidWorld | — | 75.7% |
| WebVoyager | — | 88.5% |
| Coding | ||
| HumanEval | 91% | — |
| SWE-bench Verified | 59% | — |
| LiveCodeBench | 49% | — |
| SWE-bench Pro | 58% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 81% | — |
| OfficeQA Pro | 92% | — |
| 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 | 93% | — |
| BBH | 90% | — |
| LongBench v2 | 90% | — |
| MRCRv2 | 87% | — |
| ARC-AGI-2 | 31.1% | — |
| Knowledge | ||
| MMLU | 99% | — |
| GPQA | 97% | — |
| SuperGPQA | 95% | — |
| MMLU-Pro | 83% | — |
| HLE | 20% | — |
| FrontierScience | 86% | — |
| SimpleQA | 95% | — |
| Instruction Following | ||
| IFEval | 88% | — |
| Multilingual | ||
| MGSM | 89% | — |
| MMLU-ProX | 85% | — |
| Mathematics | ||
| AIME 2023 | 99% | — |
| AIME 2024 | 99% | — |
| AIME 2025 | 98% | — |
| HMMT Feb 2023 | 95% | — |
| HMMT Feb 2024 | 97% | — |
| HMMT Feb 2025 | 96% | — |
| BRUMO 2025 | 96% | — |
| MATH-500 | 91% | — |
Gemini 3 Pro is ahead overall, 78 to 58. The biggest single separator in this matchup is BrowseComp, where the scores are 83% and 51.9%.
Gemini 3 Pro has the edge for agentic tasks in this comparison, averaging 71.1 versus 58. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
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