Model card
GLM-4.7.
Zhipu AIopen-source
§ 02 · Benchmarks
Every benchmark GLM-4.7 has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | GPQA Diamond | Reasoning · Multi-step Reasoning | accuracy | 85.7% | #18 | — | source ↗ |
| 02 | HLE | Reasoning · Multi-step Reasoning | accuracy | 24.8% | #26 | — | source ↗ |
| 03 | PLCC | Natural Language Processing · Polish Cultural Competency | geography | 88.0% | #27 | — | source ↗ |
| 04 | PLCC | Natural Language Processing · Polish Cultural Competency | culture-and-tradition | 79.0% | #39 | — | source ↗ |
| 05 | PLCC | Natural Language Processing · Polish Cultural Competency | history | 85.0% | #40 | — | source ↗ |
| 06 | PLCC | Natural Language Processing · Polish Cultural Competency | average | 73.5% | #50 | — | source ↗ |
| 07 | PLCC | Natural Language Processing · Polish Cultural Competency | art-and-entertainment | 64.0% | #50 | — | source ↗ |
| 08 | PLCC | Natural Language Processing · Polish Cultural Competency | grammar | 66.0% | #61 | — | source ↗ |
| 09 | PLCC | Natural Language Processing · Polish Cultural Competency | vocabulary | 59.0% | #75 | — | 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-4.7 actually performs.
§ 04 · Papers
1 paper with results for GLM-4.7.
- 2025-08-08· 2 results
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
§ 05 · Related models
Other Zhipu AI models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
sdadas/PLCC
7
results
pwc-dump
2
results
7 of 9 rows marked verified.