Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude 3 Haiku
42
0/8 categoriesGLM-5V-Turbo
~58
Winner · 1/8 categoriesClaude 3 Haiku· GLM-5V-Turbo
Pick GLM-5V-Turbo if you want the stronger benchmark profile. Claude 3 Haiku only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GLM-5V-Turbo is clearly ahead on the aggregate, 58 to 42. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5V-Turbo's sharpest advantage is in agentic, where it averages 58 against 44. The single biggest benchmark swing on the page is OSWorld-Verified, 42% to 62.3%.
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 3 Haiku | GLM-5V-Turbo |
|---|---|---|
| AgenticGLM-5V-Turbo wins | ||
| Terminal-Bench 2.0 | 40% | — |
| BrowseComp | 53% | 51.9% |
| OSWorld-Verified | 42% | 62.3% |
| BrowseComp-VL | — | 51.9% |
| OSWorld | — | 62.3% |
| AndroidWorld | — | 75.7% |
| WebVoyager | — | 88.5% |
| Coding | ||
| HumanEval | 73% | — |
| SWE-bench Verified | 17% | — |
| LiveCodeBench | 20% | — |
| SWE-bench Pro | 19% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 70% | — |
| OfficeQA Pro | 67% | — |
| 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 | 52% | — |
| BBH | 74% | — |
| LongBench v2 | 63% | — |
| MRCRv2 | 63% | — |
| Knowledge | ||
| MMLU | 75.2% | — |
| GPQA | 56% | — |
| SuperGPQA | 54% | — |
| MMLU-Pro | 63% | — |
| HLE | 2% | — |
| FrontierScience | 50% | — |
| SimpleQA | 54% | — |
| Instruction Following | ||
| IFEval | 76% | — |
| Multilingual | ||
| MGSM | 73% | — |
| MMLU-ProX | 70% | — |
| Mathematics | ||
| AIME 2023 | 56% | — |
| AIME 2024 | 58% | — |
| AIME 2025 | 57% | — |
| HMMT Feb 2023 | 52% | — |
| HMMT Feb 2024 | 54% | — |
| HMMT Feb 2025 | 53% | — |
| BRUMO 2025 | 55% | — |
| MATH-500 | 71% | — |
GLM-5V-Turbo is ahead overall, 58 to 42. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 42% and 62.3%.
GLM-5V-Turbo has the edge for agentic tasks in this comparison, averaging 58 versus 44. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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