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Model details

GLM-5.2

GLM-5.2 is Z.ai's latest flagship in the GLM family, positioned as a substantial leap over GLM-5.1 specifically for long-horizon tasks that previously broke context limits. Its headline improvement is a solid the cataloged API limit context designed to sustain quality across messy, extended coding-agent trajectories rather than merely accepting more tokens. The model is also the first in the line to ship with an architectural change called IndexShare, which reuses a shared indexer across every four sparse attention layers to cut per-token compute at long context, alongside an improved multi-token prediction layer that boosts speculative-decoding acceptance length.

Beyond raw context, GLM-5.2 emphasizes practical developer fit: stronger coding capability paired with multiple thinking effort levels so users can tune the trade-off between reasoning depth and latency, which is well suited to agentic workflows that mix fast tool calls with deeper deliberation. The model and its codebase are openly published on Hugging Face and GitHub under the zai-org organization, with no regional access restrictions, making it attractive for teams that need a transparent, self-hostable backbone for long-running coding or research assistants. On Vivgrid, GLM-5.2 is listed alongside Claude, GPT, DeepSeek, and Kimi variants as a supported coding model, reinforcing its role as a serious open alternative for production agent stacks that require very long context without sacrificing reasoning control.

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Quick Info

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Provider
Vivgrid
Model key
glm-5.2
Release date
Jun 13, 2026
Last updated
Jun 13, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.20
Output token cost
$4.20

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

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Coverage

NIST's Center for AI Standards and Innovation (CAISI) published an independent public assessment of Z.ai's GLM-5.2 on July 8, 2026, evaluating the model that was released as an open-weight release on June 16, 2026 by the PRC-based developer Z.ai (formerly Zhipu AI). CAISI concluded that GLM-5.2 was probably the most ca CAISI's safeguard and security assessment was mixed: GLM-5.2's safeguards allowed assistance with agentic cyber exploit development and blocked fewer sensitive biological questions than reference U.S. models, but the model appeared potentially more robust against agent hijacking and prompt-based jailbreaking attacks th

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Coverage

Digital Applied covered Z.ai's GLM-5.2 launch on June 13, 2026, describing it as Z.ai's new flagship model made available immediately to every GLM Coding Plan tier (Lite, Pro, Max, and Team) ahead of API, chatbot, and open-weights release. Z.ai's announcement led with three claims: powerful coding capabilities, a usabl The launch was unusual in sequencing: the GLM Coding Plan distribution channel shipped before benchmarks, the standalone API, and the chatbot, targeting existing Coding Plan subscribers who could switch via an environment-variable change. A June 16, 2026 update on the same page confirmed the benchmarks landed as promis

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CoverageBenchmark

Semgrep's security research team published a benchmark study on June 22, 2026 evaluating GLM 5.2 against popular open-source models on their IDOR benchmark, using the same dataset and prompt they apply to frontier coding agents. The headline finding, as titled, is that the best open-weight option (GLM 5.2) outperformed The benchmark positions GLM-5.2 as a credible open-weight alternative for security-relevant coding workflows that previously required frontier closed models, while attributing the model to its open-weight provenance rather than any serving host. Semgrep's IDOR benchmark and evaluation methodology (same dataset, same pr

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