Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E2B
~39
0/8 categoriesGLM-5 (Reasoning)
82
Winner · 4/8 categoriesGemma 4 E2B· GLM-5 (Reasoning)
Pick GLM-5 (Reasoning) if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GLM-5 (Reasoning) is clearly ahead on the aggregate, 82 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5 (Reasoning)'s sharpest advantage is in reasoning, where it averages 90 against 19.1. The single biggest benchmark swing on the page is BBH, 21.9% to 91%.
GLM-5 (Reasoning) gives you the larger context window at 200K, compared with 128K for Gemma 4 E2B.
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 | Gemma 4 E2B | GLM-5 (Reasoning) |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 81% |
| BrowseComp | — | 80% |
| OSWorld-Verified | — | 74% |
| CodingGLM-5 (Reasoning) wins | ||
| LiveCodeBench | 44% | — |
| HumanEval | — | 88% |
| SWE-bench Verified | — | 62% |
| Multimodal & GroundedGLM-5 (Reasoning) wins | ||
| MMMU-Pro | 44.2% | 74% |
| OfficeQA Pro | — | 84% |
| ReasoningGLM-5 (Reasoning) wins | ||
| BBH | 21.9% | 91% |
| MRCRv2 | 19.1% | — |
| MuSR | — | 90% |
| KnowledgeGLM-5 (Reasoning) wins | ||
| GPQA | 43.4% | 94% |
| MMLU-Pro | 60% | 81% |
| MMLU | — | 96% |
| SuperGPQA | — | 92% |
| HLE | — | 29% |
| FrontierScience | — | 83% |
| SimpleQA | — | 92% |
| Instruction Following | ||
| Coming soon | ||
| Multilingual | ||
| MGSM | — | 89% |
| Mathematics | ||
| AIME 2023 | — | 98% |
| AIME 2024 | — | 99% |
| AIME 2025 | — | 98% |
| HMMT Feb 2023 | — | 94% |
| HMMT Feb 2024 | — | 96% |
| HMMT Feb 2025 | — | 95% |
| BRUMO 2025 | — | 96% |
| MATH-500 | — | 92% |
GLM-5 (Reasoning) is ahead overall, 82 to 39. The biggest single separator in this matchup is BBH, where the scores are 21.9% and 91%.
GLM-5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 73.7 versus 54.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GLM-5 (Reasoning) has the edge for coding in this comparison, averaging 62 versus 44. Gemma 4 E2B stays close enough that the answer can still flip depending on your workload.
GLM-5 (Reasoning) has the edge for reasoning in this comparison, averaging 90 versus 19.1. Inside this category, BBH is the benchmark that creates the most daylight between them.
GLM-5 (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 78.5 versus 44.2. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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