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Model details

GLM 5.2

GLM 5.2 is Z.ai's flagship model built specifically for long-horizon work, described as a substantial leap over its predecessor GLM 5.1 in sustaining quality across extended agent trajectories. Its design centers on making long-context interactions genuinely usable for coding agents, rather than merely accepting more tokens. The model is released under an MIT open-source license with weights hosted publicly on Hugging Face, reinforcing its positioning as a transparent, open-weights foundation for research and product work that needs long-running reasoning chains.

A key architectural contribution in GLM 5.2 is IndexShare, which reuses the same indexer across every four sparse attention layers, cutting per-token compute at long context lengths while preserving quality. The MTP layer is also refined for speculative decoding, raising acceptance length and improving inference efficiency. Coding capability is strengthened through configurable thinking effort levels, letting developers trade latency against reasoning depth depending on task complexity. Together these traits make GLM 5.2 well suited to long-running coding agents and tool-driven workflows where sustained context quality, flexible compute budgets, and open deployment matter more than peak single-turn latency.

ZenMuxz-ai/glm-5.2glm

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Provider
ZenMux
Model key
z-ai/glm-5.2
Release date
Jun 13, 2026
Last updated
Jun 13, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.98
Output token cost
$3.08

Limits

Output tokens
128,000 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about GLM 5.2

ZenMux

Official sourceAnnouncement

Z.ai announced GLM-5.2 on June 16, 2026 as its flagship model built for long-horizon tasks, introducing a solid 1-million-token context window designed to remain reliable across extended coding-agent trajectories. The release emphasizes that a long context must be engineering-usable, not merely wide, and the model ship Architecturally, GLM-5.2 introduces IndexShare, which reuses the same indexer across every four sparse attention layers, reducing per-token FLOPs by 2.9× at the 1M context length, along with an upgraded Multi-Token Prediction (MTP) layer that increases speculative-decoding acceptance length by up to 20%. The model is r

ZenMux

CoverageBenchmark

VentureBeat reported on June 16, 2026 that Z.ai (formerly Zhipu AI) released GLM-5.2, a 753-billion-parameter open-weights LLM targeted at long-horizon autonomous coding and engineering work, immediately available on Hugging Face, the Z.ai API, and more than 20 third-party coding environments. The model pairs a highly The report confirms the IndexShare optimization (one indexer reused across every four sparse attention layers, cutting per-token FLOPs by 2.9× at 1M context) and the upgraded Multi-Token Prediction layer for speculative decoding (up to 20% longer accepted token length). It also cites Z.ai's claim that GLM-5.2 beats GPT

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