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Z.AI: GLM 4.5 AirActive

z-ai/glm-4.5-air
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GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter size. GLM-4.5-Air also supports hybrid inference modes, offering a "thinking mode" for advanced reasoning and tool use, and a "non-thinking mode" for real-time interaction. Users can control the reasoning behaviour with the reasoning enabled boolean. Learn more in our docs

By:Z.aiInput Type:Output Type:Publish time:2025-07-25

Providers

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

ProviderCache Hit RateContext
Z.ai
z-ai
21.6%$0.1165-0.1747/ M tokens$0.2911-1.1645/ M tokensRead:0.0233-0.0349/ M tokensWrite:-/ M tokens128K--
BigModel
bigmodel
21.3%$0.1165-0.1747/ M tokens$0.2911-1.1645/ M tokensRead:0.0233-0.0349/ M tokensWrite:-/ M tokens128K--
SiliconFlowSunset
siliconflow
-$0.14/ M tokens$0.86/ M tokensRead:-/ M tokensWrite:-/ M tokens128K--

Uptime

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

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Throughput

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

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Latency

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

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Activity

Token volume and request traffic to this model over time.

Token Consumption
Oct 25
Z.ai272.1K
SiliconFlow-
BigModel205.5K

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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