GLM 4.6

ChatInput: TextReleased Sep 30, 2025

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

Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...

How to use

model: "zhipu/glm-4.6"

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-4.6",
    "savings_target": 0.4
  }
}

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

Context

205K

Max output

131K

Input $/1M

$0.50

Output $/1M

$2.00

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

Epoch Capabilities IndexComposite over 50+ benchmarks

140.9

Terminal-BenchAgentic terminal tasks

24.5%

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

Speed

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