GLM 5.1vsGLM-4.6
Across 3 shared benchmarks, GLM 5.1 leads overall: GLM 5.1 wins 3, GLM-4.6 wins 0, with 0 ties and an average score difference of +19.80.
GLM 5.13 wins(100%)(0%)0 winsGLM-4.6
Benchmark scores
Grouped by capability, sorted by largest gap within each. 3 shared benchmarks.
General Knowledge
GLM 5.1 2/2| Benchmark | GLM 5.1 | GLM-4.6 | Diff |
|---|---|---|---|
| HLE | 52.3012 / 157Thinking (With Tools) | 30.4074 / 157 | +21.90 |
| GPQA Diamond | 86.2042 / 178Thinking (No Tools) | 82.9061 / 178 | +3.30 |
AI Agent - Information Search
GLM 5.1 1/1| Benchmark | GLM 5.1 | GLM-4.6 | Diff |
|---|---|---|---|
| BrowseComp | 79.3013 / 45Thinking (With Tools + Internet) | 45.1038 / 45 | +34.20 |
Specs
| Field | GLM 5.1 | GLM-4.6 |
|---|---|---|
| Publisher | 智谱AI | 智谱AI |
| Release date | 2026-03-27 | 2025-09-30 |
| Model type | Reasoning model | Chat model |
| Architecture | MoE | MoE |
| Parameters | 75.4B | 355B |
| Context length | 200K | 200K |
| Max output | 125K | 128K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | GLM 5.1 | GLM-4.6 |
|---|---|---|
| Text input | $1.4 / 1M tokens | Not public |
| Text output | $4.4 / 1M tokens | Not public |
| Cache read | $4.4 / 1M tokens | Not public |
| Cache write | $0.26 / 1M tokens | Not public |
One or both models have incomplete public pricing.
Summary
- GLM 5.1leads in:General Knowledge (2/2), AI Agent - Information Search (1/1)
On average across the 3 shared benchmarks, GLM 5.1 scores 19.80 higher.
Largest single-benchmark gap: BrowseComp — GLM 5.1 79.30 vs GLM-4.6 45.10 (+34.20).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.