GLM 5.1vsGLM-4.7
Across 6 shared benchmarks, GLM 5.1 leads overall: GLM 5.1 wins 6, GLM-4.7 wins 0, with 0 ties and an average score difference of +13.33.
GLM 5.16 wins(100%)(0%)0 winsGLM-4.7
Benchmark scores
Grouped by capability, sorted by largest gap within each. 6 shared benchmarks.
General Knowledge
GLM 5.1 2/2| Benchmark | GLM 5.1 | GLM-4.7 | Diff |
|---|---|---|---|
| HLE | 52.309 / 149Thinking (With Tools) | 42.8036 / 149thinking + 使用工具 | +9.50 |
| GPQA Diamond | 86.2039 / 175Thinking (No Tools) | 85.7041 / 175thinking | +0.50 |
AI Agent - Information Search
GLM 5.1 1/1| Benchmark |
|---|
Specs
| Field | GLM 5.1 | GLM-4.7 |
|---|---|---|
| Publisher | 智谱AI | 智谱AI |
| Release date | 2026-03-27 | 2025-12-22 |
| Model type | Reasoning model | AI model |
| Architecture | MoE | MoE |
| Parameters | 754.0 | 3580.0 |
| Context length | 200K | 200K |
| Max output | 128000 | 132072 |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | GLM 5.1 | GLM-4.7 |
|---|---|---|
| Text input | $1.4 / 1M tokens | 0.6 美元/100万 tokens |
| Text output | $4.4 / 1M tokens | 2.2 美元/100万 tokens |
| Cache read | $4.4 / 1M tokens | 0.11 美元/100万 tokens |
| Cache write | $0.26 / 1M tokens | Not public |
Summary
- GLM 5.1leads in:General Knowledge (2/2), AI Agent - Information Search (1/1), AI Agent - Tool Usage (1/1), Coding and Software Engineer (1/1), Math and Reasoning (1/1)
On average across the 6 shared benchmarks, GLM 5.1 scores 13.33 higher.
Largest single-benchmark gap: BrowseComp — GLM 5.1 79.30 vs GLM-4.7 52 (+27.30).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.