GLM-5.2 is Z.ai's flagship GLM-5 series model, a 744-billion-parameter mixture-of-experts system with 40 billion active parameters, built for agentic engineering and long-horizon coding, with open weights published on Hugging Face. Its standout capability is a 1M-token context window, a roughly fivefold jump over the GLM-5.1 generation's 200K, letting it reason across entire repositories, long plan-then-execute traces, and book-length inputs in a single pass. The model introduces IndexShare, a sparse-attention design that reuses one indexer across every four attention layers, which Z.ai reports cuts per-token compute by 2.9 times at full 1M context while preserving long-range recall. Selectable thinking-effort levels, High and Max, let developers trade reasoning depth against latency, and Z.ai's own benchmarks put it at 62.1 on SWE-bench Pro, up from 58.4 for GLM-5.1. Released under an MIT license, GLM-5.2 suits developers building coding agents, repository-scale tools, and reasoning-intensive applications who want frontier capability with downloadable, self-hostable weights.
Call GLM-5.2 on Opper with the OpenAI SDK. Sign up without a credit card. Get started
GLM-5.2 runs on 18 different routes through the Opper gateway. Compare residency, zero data retention and training posture at a glance, with full data-handling detail per route below. In the EU it is served by evroc (Sweden), GreenPT, Inceptron and 4 more. See every GLM model hosted in the EU. One route also sells flex and priority processing: the same model at another price, picked per request with service_tier. How service tiers work.
GLM-5.2 runs on 5 independently monitored routes through the Opper gateway. A direct integration leaves you on one of them, the gateway serves whichever is healthy.
100%effective uptime, last 30 days
Averaged across these routes on their own, a single provider reached 95.53% over the same window.
Daily status through the gateway, which serves each request from whichever route is healthy.
5 monitored providers serve GLM-5.2.
Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. 13 further routes for this model are not on the board yet and are not counted above. See uptime for every provider Opper monitors.
Data handling per route
Each route hosting GLM-5.2 has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.
Zero data retention with abuse monitoring: prompts and outputs are kept for abuse monitoring only, for a window the provider does not state, and are not used for training. No training on customer data. GLOBAL; SCCs; DPA available.
Zero data retention with abuse monitoring: prompts and outputs are kept for abuse monitoring only, for a window the provider does not state, and are not used for training. No training on customer data. US; SCCs; DPA available.
Zero data retention with abuse monitoring: prompts and outputs are kept for up to 180 days for abuse monitoring only, and are not used for training. No training on customer data. GLOBAL; SCCs; DPA available.
Zero data retention
With abuse monitoring, 180-day window.
Training
No training on customer data.
Logging
Abuse monitoring (180-day retention)
Abuse monitoring
On by default, holds flagged content, 180 days, stored in Malaysia, a person can view samples
Zero data retention with abuse monitoring: nothing is logged or used for training; content flagged by abuse monitoring is held for review. No training on customer data. US; dpf sccs; DPA available.
Zero data retention
With abuse monitoring, flagged content held.
Training
No training on customer data.
Logging
None
Abuse monitoring
Always on, holds flagged content, stored in United States
Zero data retention with abuse monitoring: prompts and outputs are kept for up to 30 days for abuse monitoring only, and are not used for training. No training on customer data. US; SCCs; DPA available.
Zero data retention
With abuse monitoring, 30-day window.
Training
No training on customer data.
Logging
Abuse monitoring (30-day retention)
Abuse monitoring
On by default, holds flagged content, a person can view samples
Zero data retention with abuse monitoring: prompts and outputs are kept for up to 14 days for abuse monitoring only, and are not used for training. No training on customer data. EU; DPA available.
Zero data retention with abuse monitoring: nothing is logged or used for training; content flagged by abuse monitoring is held for review. No training on customer data. GLOBAL; unknown; DPA available.
Zero data retention
With abuse monitoring, flagged content held.
Training
No training on customer data.
Logging
None
Abuse monitoring
On by default, holds flagged content
Caching
Content cached for replay
Subprocessor access
Subprocessors may read content
GDPR DPA
DPA available
Transfer mechanism
unknown
Benchmarks
Independent benchmark scores — composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call GLM-5.2 through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.
GLM-5.2 is a premium model on Opper. Sign up needs no credit card: you get an API key straight away and the free models work in the playground and the API. Add a card to use premium models, pay-as-you-go with no minimum.
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