GLM
Zhipu AI · China · Language & multimodal
China Open weights
Showing version: GLM-4.6 · 2025-09-30 · Version lineage ↓
01
Overview
GLM is Zhipu AI's (internationally Z.ai) model family; from GLM-4.5 it uses MoE architecture fusing agentic, reasoning and coding abilities, with weights open under MIT.
Context length204,800 tokensInput$0.50 USD / 1M tokensRelease date2025-09-30
02 / Provenance
Field checks and source notes
When sources disagree on a field, every reading is listed here with its own citation. We do not take a midpoint, invent a missing figure, or decide which side is right — follow the citation and judge for your case.
These field-level notes are recorded verbatim in Chinese in the source data. Open the Chinese version
03 / Plain layer
Plain-language benchmarks
Memory 204,800 tokens
Model size Not disclosed
Price / free $0.50 / $2.00 USD / 1M tokens
04
Practical facts
| Context length | 204,800 tokens |
|---|---|
| Max output | Not disclosed |
| Parameters | Not disclosed |
| Input | $0.50 USD / 1M tokens |
| Output price | $2.00 USD / 1M tokens |
| CNY | Not disclosed |
| Free tier | Not disclosed |
| Output speed | Not disclosed |
| Release date | |
| License | Not disclosed |
Show technical data
Technical benchmark table
This model is evaluated per reasoning tier; available tiers: non-reasoning / reasoning. Each row below shows the highest tier measured for that benchmark. Tier switching happens on the compare page.
No verified benchmark data (not tested / not disclosed / not applicable).
| Version | Release date | Status | Openness | Parameters | What changed | Detail | |
|---|---|---|---|---|---|---|---|
| GLM-4.6Showing version | Active | Open weights | Not disclosed | TBD | Detail | ||
| GLM-4.5 | Active | Open weights | Not disclosed | TBD | Detail | ||
| GLM-4 | Active | Open weights | Not disclosed | TBD | Detail |
Last updated: · Sources on detail page
06 / Compare