Chinese AI labs · General language
GLM-5.2
Same base model and same price as GLM-5.3 but under plain MIT and with thinking optionally off — the one to self-host, or to use when you need non-reasoning responses.
Open weights · Permissive (Apache, MIT, OpenMDW) · Data checked September 6, 2026 · Not a hands-on evaluation
Model ID glm-5.2
- Parameters
- 753B
- Architecture
- Not recorded
- Context window
- 1,000,000 tokensMaximum input
- Max output
- 131,072 tokensPer response
- Input price
- $1.40 per 1M tokens
- Output price
- $4.40 per 1M tokens
- Cached input
- $0.26 per 1M tokens
- Blended price
- $2.15 per 1M tokens3:1 input to output
- Knowledge cutoff
- Not recorded
- Released
- 2026-06-16
- Status
- ga
- Size band
- 120B and above
License and openness
GLM-5.2 is released under the MIT. This is a permissive license. It generally allows use, modification and redistribution, including commercial use, subject to attribution and notice requirements. License terms can change between versions; confirm the text published with the weights you download.
Capabilities
| Input modalities | text |
|---|---|
| Output modalities | text |
What it is for
At a three-to-one input-to-output ratio, GLM-5.2 costs $2.15 per million tokens blended. A workload of one million input and 330,000 output tokens per day would run about $85.56 per month at list price, before caching or batch discounts.
Cost at list price
| Input | $1.40 per 1M tokens |
|---|---|
| Output | $4.40 per 1M tokens |
| Cached input | $0.26 per 1M tokens |
| Blended, 3:1 | $2.15 per 1M tokens |
Sources
- Source: docs.z.ai ↗
- Chinese AI labs pricing ↗
- API docs ↗
- Full reference record for GLM-5.2 ↗
- Chinese AI labs in the reference ↗
Sources checked September 6, 2026. Specifications and prices change without notice; confirm against the provider before you commit.
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