GLM-5.2 Model Performance and Benchmarking

Model Capabilities and Specifications

GLM-5.2 is an iterative update to the GLM-5.1 model, featuring a 1 million token context window and a post-trained architecture. The model is intended to be released with open weights, likely under an MIT license, facilitating local hosting and zero-data-retention workflows. It is currently accessible via the Z AI Coding Plan and integrates with developer tools such as Claude Code, Codex, and OpenCode.

Benchmark Performance

The model achieves an aggregate score of 81.43 on the author's internal benchmark, placing it approximately 6% below the performance of Opus 4.8 and Fable. Specific task performance includes:

• Elevator Simulation: The model successfully generates a functional simulation with animations, though passenger alignment requires minor refinement.
• 3D Modeling: It demonstrates high proficiency in generating 3D folding table logic using 3JS, while struggling with the proportions of a contact lens case.
• Game Development: The model produces a functional, appropriately difficult bow and arrow simulator that avoids showing trajectory lines, meeting the author's specific design requirements.
• Local Fine-Tuning: It successfully executes a complex workflow to fine-tune a Gemma model with custom data and deploys a functional web UI to localhost in approximately 30 minutes.

Efficiency and Value

GLM-5.2 exhibits improved token efficiency compared to its predecessor, showing a more focused and streamlined output generation. At a price point of $8 per month, the model provides a cost-effective alternative to premium coding models, offering nearly comparable utility for a fraction of the subscription cost of enterprise-grade alternatives.