Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GLM-5.1
Coming soon
0/8 categoriesQwen3.5-27B
70
Winner · 0/8 categoriesGLM-5.1· Qwen3.5-27B
Benchmark data for GLM-5.1 and Qwen3.5-27B is coming soon on BenchLM.
BenchLM does not have sourced benchmark coverage for GLM-5.1 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Qwen3.5-27B has the larger context window at 262K, compared with 200K for GLM-5.1.
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-5.1 | Qwen3.5-27B |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 41.6% |
| BrowseComp | — | 61% |
| OSWorld-Verified | — | 56.2% |
| tau2-bench | — | 79% |
| Coding | ||
| SWE-bench Verified | — | 72.4% |
| LiveCodeBench | — | 80.7% |
| Multimodal & Grounded | ||
| MMMU-Pro | — | 75% |
| Reasoning | ||
| LongBench v2 | — | 60.6% |
| Knowledge | ||
| MMLU-Pro | — | 86.1% |
| SuperGPQA | — | 65.6% |
| GPQA | — | 85.5% |
| Instruction Following | ||
| IFEval | — | 95% |
| Multilingual | ||
| MMLU-ProX | — | 82.2% |
| Mathematics | ||
| Coming soon | ||
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
Qwen3.5-27B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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