GLM 4.5v

ChatInput: TextInput: ImageReleased Aug 11, 2025

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

GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...

How to use

model: "zhipu/glm-4.5v"

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-4.5v",
    "savings_target": 0.4
  }
}

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

Context

66K

Max output

16K

Input $/1M

$0.60

Output $/1M

$1.80

Features

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Serving providers

Novita

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

Measured latency (lower is better) and throughput (higher is better) per provider.

Speed

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