China AI Hub
Models / GLM-5.2
GLM-5.2
GLM-5 family · Provider: zhipu-ai · Status: deprecated · Released: 2026-06-16
GLM-5.2 is a GLM-5 model developed by zhipu-ai, a Chinese AI company headquartered in Beijing Zhipu Huazhang Technology Co., Ltd. (北京智谱华章科技股份有限公司), Beijing, China, released 2026-06-16 with a 1,048,576-token context window and open weights.
| Key fact | Value |
|---|---|
| Model ID | glm-5.2 |
| Architecture | 744B total / 40B active (open weights, BF16/FP8) |
| Context window | 1,048,576 tokens |
| Max output | 163,840 tokens |
| Open weights | Yes |
| License | MIT (pure open, no regional limits per official model card) |
| Self-hosting | Yes |
| API available | Yes |
| API pricing | $1.4 input / $4.4 output per 1M tokens (USD) · provider pricing page |
| Regions | international, china |
| Cloud providers | Z.ai, BigModel |
Capabilities
| Capability | Supported |
|---|---|
| Reasoning | Yes |
| Coding | Yes |
| Math | Unknown |
| Chinese | Unknown |
| English | Unknown |
| Multilingual | Unknown |
| Vision | No |
| Audio | Unknown |
| Video | Unknown |
| Tool calling | Yes |
| Function calling | Unknown |
| Structured output | Unknown |
| Agent capability | Yes |
| RAG | Unknown |
| Computer use | Unknown |
Benchmark results
| Benchmark | Version | Score | Metric | Date | Source type | Source |
|---|---|---|---|---|---|---|
| HLE | — | 40.5 (text-only) | accuracy | 2026-06 | vendor_reported | link |
| HLE | — | 54.7 (w/ tools) | accuracy | 2026-06 | vendor_reported | link |
| SWE-bench Pro | — | 62.1 | resolved | 2026-06 | vendor_reported | link |
Benchmark scores are single data points, not universal rankings. Vendor-reported scores are labeled as such.
Known limitations
- Superseded by GLM-5.3 (same base model, improved post-training) but still listed on the API pricing page at the same price
- Text-only input; reasoning supports high/max only
GLM-5.2 (2026-06-16) is Zhipu’s previous flagship text model - a 744B-total / 40B-active open-weight model with 1M context. It has been superseded by GLM-5.3, which uses the same base model with improved post-training, but GLM-5.2 remains on the pricing page at the same price ($1.40 / $4.40 per 1M tokens, cached $0.26, as of 2026-09-20).
Provider
Pricing
Benchmarks with results for this model
Related models (same family)
API
Model family timeline
| Model | Released | Status |
|---|---|---|
| GLM-5.2 (this page) | 2026-06-16 | deprecated |
| GLM-5.3 | 2026-08-18 | active |
Data interpretation
| Field | Value | Evidence type |
|---|---|---|
| Context window | 1,048,576 tokens | Official |
| Architecture | 744B total / 40B active (open weights, BF16/FP8) | Official |
| Open weights | Yes | Official |
| License | MIT (pure open, no regional limits per official model card) | Official |
| API pricing | $1.4 / $4.4 per 1M tokens (USD) | Official |
| HLE | 40.5 (text-only) accuracy | Vendor-reported |
| HLE | 54.7 (w/ tools) accuracy | Vendor-reported |
| SWE-bench Pro | 62.1 resolved | Vendor-reported |
| Family position | 2 models in the GLM-5 family | China AI Hub analysis |
Evidence types: Official = vendor documentation, pricing pages or model cards. Vendor-reported = benchmark scores published by the vendor. China AI Hub analysis = derived from the database itself. See the sourcing policy.
Sources
Confidence and source hierarchy per the sourcing policy. Facts change; check the source before relying on this page.
What is the context window of GLM-5.2?
GLM-5.2 has a 1,048,576-token context window and a maximum output of 163,840 tokens.
Is GLM-5.2 open weight?
Yes — GLM-5.2 weights are openly available under the MIT (pure open, no regional limits per official model card) license.
How much does GLM-5.2 cost through the API?
$1.4 per 1M input tokens and $4.4 per 1M output tokens (USD).
Where does China AI Hub get its GLM-5.2 data?
From 4 sources (official pages first), last verified 2026-09-27. Benchmark scores are labeled by source type; see the sourcing policy for details.