Model card
GLM-4.5.
Zhipu AIopen-source
§ 02 · Benchmarks
Every benchmark GLM-4.5 has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | MMLU-Pro | Reasoning · Commonsense Reasoning | accuracy | 84.6% | #27 | 2025-08-08 | source ↗ |
| 02 | SWE-bench Verified | Agentic AI · SWE-bench | resolve-rate | 64.2% | #52 | — | source ↗ |
| 03 | HLE | Reasoning · Multi-step Reasoning | accuracy | 8.3% | #56 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where GLM-4.5 actually performs.
§ 05 · Related models
Other Zhipu AI models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
paperswithcode
1
result
editorial
1
result
scale-hle-official
1
result
2 of 3 rows marked verified.