GLM 4.5

ChatInput: TextReleased Jul 25, 2025

Built by Z.ai (Zhipu AI) · China · z.ai

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...

How to use

model: "zhipu/glm-4.5"

Cap quality here and save

Hard questions go to this model, easy ones drop to something cheaper. Set a savings target (0–0.8) and the router tunes itself until realized savings converge on it.

{
  "model": "celon/auto",
  "celon": {
    "anchor": "zhipu/glm-4.5",
    "savings_target": 0.4
  }
}

Naming a model directly gets you that model — savings controls don't apply.

Context

131K

Max output

98K

Input $/1M

$0.38

Output $/1M

$1.60

Features

Tool callingJSON

Serving providers

DeepInfraNovita

Providers

Price, latency, and uptime per provider serving this model. Celon routes each request to the fastest and cheapest of them. Click a row for regions and data policies.

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Performance

Benchmark quality scores, and measured speed per provider.

Quality

HLEHumanity's Last Exam

8.3%

At each model's best reasoning effort. Benchmarks it wasn't run on are omitted.

Speed

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