On June 13, 2026, Z.ai quietly releasedGLM-5.2——There was no press conference, no overwhelming publicity, and no official benchmark scores were even released. But within a week, this open source programming model with approximately 753B parameters proved itself through third-party evaluation:The world's No. 1 front-end programming model, No. 1 overall open source ranking, and multiple long-term programming benchmarks surpassing GPT-5.5 at only one-sixth of the cost.
Following MiniMax M3,Kimi After K2.7, this is the third Chinese open source model to hit the global rankings this month. GLM-5.2's play style is very precise: it does not engage in universal dialogue or pursue multi-modality, but instead invests all resources inProgramming and Agent taskssuperior.
core competencies
Compared with GLM-5.1 (released in April, SWE-bench Pro 58.4%), the upgrades of GLM-5.2 are concentrated in three directions:
- 1 million Token context window:pass
glm-5.2[1m]Model identification is enabled, allowing the entire medium-sized code repository to be loaded in one go. The output limit is 131,072 Tokens. - Dual reasoning mode: Added two new levels: High and Max. Max mode is specially designed for deep inference. Agent Arena ranks 10th and open source model ranks 1st.
- Anthropic compatible API: Directly compatibleClaude With mainstream tools such as Code and Cline, developers can switch models by simply changing a Base URL.
Benchmark performance
Although Zhipu did not announce official benchmarks at the time of release, third-party reviews quickly filled the gap:
- Artificial Analysis Intelligence Index v4.1: Scored 51, surpassing the MiniMax-M3 (44) andDeepSeek V4 Pro（44），No. 1 open source model.
- FrontierSWE: 1st in open source, 3rd in the overall list, second only toClaude Opus 4.8. LLM Benchmark Dashboard Code v3 also ranked 3rd.
- Latent Space: Third-party front-end programming evaluationNo. 1 in the world. VentureBeat reported that it surpassed GPT-5.5 on multiple long-term programming benchmarks.
Pricing and access
GLM-5.2 adoptedMIT Open Source License(The weight is to be released). Two subscription and API methods are provided: Coding Plan Lite $18/month (annual payment starts at $12.60), Pro $72/month, Max $160/month; API is billed by volume, input $1.40/million Tokens, output $4.40/million Tokens. In comparison, GPT-5.5 andClaude Opus 4.8 is priced several times higher,The cost-effective advantage of GLM-5.2 is very significant. Open source deployment can also achieve zero marginal cost operation.
User experience and limitations
advantage: Anthropic API-compatible integration experience is smooth, inClaude You only need to modify the configuration file in Code to switch. 1M context performs stably in large code base scenarios, and the interruption rate of long-cycle Agent tasks is significantly lower than that of similar models. Chinese support is naturally excellent.
limitations: Does not provide multi-modal capabilities and is positioned as a pure text programming model. The quota system is complex and consumption doubles during peak periods. The lack of official benchmarks leaves early adopters to evaluate on their own. The fine-tuning function only supports self-deployment, and subscribed users cannot fine-tune directly on the platform.
Overall Score
| 维度 | Score | evaluate |
|---|---|---|
| functional completeness | 8.0 / 10 | Top-notch programming and agent capabilities, but lacks multi-modality and single-minded positioning |
| 易用性 | 8.5 / 10 | Anthropic compatible API seamlessly connects to mainstream tools, and the quota system is slightly complicated |
| Cost-effectiveness | 9.2 / 10 | MIT open source + API is low-priced, the lowest cost among similar capabilities, and self-deployment has zero marginal cost |
| 中文支持 | 8.5 / 10 | Domestic models have natural advantages and can understand and generate Chinese smoothly. |
| 输出质量 | 8.8 / 10 | The programming benchmark is close to Opus 4.8 in multiple approximations, and the long-term Agent has outstanding stability. |
Overall rating: 8.6/10
Summarize: GLM-5.2 is the most noteworthy Chinese open source programming model in June 2026. It uses the three pillars of MIT license, 1M context and Anthropic compatible API to directly challenge GPT-5.5 and GPT-5.5 in the programming and agent tracks.Claude Opus 4.8, while keeping the cost down to an irresistible level. For developers and enterprises with code generation and automation agent needs, this is a production-grade option that can be seriously considered.
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