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Z.AI: GLM 5.2Active

z-ai/glm-5.2
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GLM-5.2 supports a larger context window and output length, with up to 1M context and 128K output tokens. It adds streaming output for tool calls via tool_stream=true, enabling real-time access to tool call arguments. Like the GLM-4.7 series, it supports deep thinking with thinking={ type: "enabled" }, where thinking is enforced once enabled, and introduces reasoning_effort to control reasoning intensity under chain-of-thought mode. It also delivers stronger coding performance and more advanced reasoning capabilities.

By:Z.aiInput Type:Output Type:Publish time:2026-06-17

Providers

Route requests across multiple providers. Copy a provider slug to set your preference.

ProviderCache Hit RateContext
Volcengine
volcengine
-$1.4/ M tokens$4.4/ M tokensRead:0.28/ M tokensWrite:0.0025/ M tokens1M--
Alibaba Cloud
alibaba
74.1%$1.4/ M tokens$4.4/ M tokensRead:0.14-0.28/ M tokensWrite:1.75/ M tokens1M3.29s26.8tps
Streamlake
streamlake
-$1.4/ M tokens$4.4/ M tokensRead:0.26/ M tokensWrite:-/ M tokens1M--
Baidu
baidu
37.5%$1.4/ M tokens$4.4/ M tokensRead:0.26/ M tokensWrite:-/ M tokens1M2.06s44.9tps
TencentCloud
tencent-cloud
-$1.4/ M tokens$4.4/ M tokensRead:0.28/ M tokensWrite:-/ M tokens1M1.92s32.1tps
BigModel
bigmodel
14.6%$1.4/ M tokens$4.4/ M tokensRead:0.26/ M tokensWrite:-/ M tokens1M1.61s43.0tps

Uptime

Direct request success rate on AI Gateway and per-provider.

Oct 26, 20:04
Alibaba Cloud100.00%
Baidu100.00%
TencentCloud-
BigModel-

Throughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

Oct 26, 19:00
Alibaba Cloud-
Baidu44.9 tps
TencentCloud-
BigModel-

Latency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

Oct 26, 19:00
Alibaba Cloud-
Baidu2.06s
TencentCloud-
BigModel-

Activity

Token volume and request traffic to this model over time.

Token Consumption
Oct 25
Volcengine-
Alibaba Cloud23.1M
Streamlake-
Baidu906.0K
TencentCloud-
BigModel224.3K

Token volume broken down by the provider that served each request. Larger segments indicate providers handling more of this model's traffic.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All

Token Ranking

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