GLM-5.2

Name: GLM-5.2
Author: Z.ai

Z.aiOpen WeightsPending Human Review

GLM-5.2 expands the GLM engineering line to a million-token context and improves reliability on sustained coding tasks. IndexShare reuses sparse-attention indexing across groups of layers to lower long-context computation, while multi-token prediction improvements accelerate decoding. Training emphasizes maintaining goals and using noisy repository and tool context over extended sessions. Public MIT weights and official API access support deployment. The million-token limit is an input-context capability, not a guarantee of reliable retrieval or correct execution at every length. GLM-5.2 Fast is a faster-serving route with the same weights, grouped here rather than cataloged as a separate trained model.

2026-06-16

744B total, 40B activated

Mixture of Experts (MoE) with sparse attention and IndexShare

MIT

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Specifications

Parameters: 744B total, 40B activated
Architecture: Mixture of Experts (MoE) with sparse attention and IndexShare
License: MIT
Context Window: 1,048,576 tokens
Type: text
Modalities: text

Benchmark Scores

Advanced Specifications

Model Family: GLM
API Access: Available
Chat Interface: Not Available
Variants: GLM-5.2-Fast (same weights; high-throughput serving)

Capabilities & Limitations

Capabilities: reasoningcode generationtool uselong-context understanding
Known Limitations: Self-hosting the full MoE checkpoint requires substantial weight memory.Long-horizon agent results depend on the harness, tools, and reasoning budget.
Notable Use Cases: software engineering agentscoding assistantsresearch workflows
Function Calling Support: Yes
Tool Use Support: Yes

Resources

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