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Deploy GLM

Text & Chat

GLM models from Zhipu AI are optimized for bilingual Chinese and English tasks. GLM-Z1 variants add deep reasoning capabilities, competing with DeepSeek R1 at up to 8x faster inference. All models use MIT license.

Deploy GLM in minutes

Starting at $0.53/hr on dedicated GPU

Available Variants (3)

ModelGPUVRAMPriceAction
GLM-4 9B
9B (Bilingual)
L424 GB$0.53/hrDeploy
GLM-Z1 9B
9B (Reasoning)
L424 GB$0.53/hrDeploy
GLM-Z1 32B
32B (Deep Reasoning)
RTX A600048 GB$0.66/hrDeploy

Prices include 30% service fee. Billed per minute while running.

Requirements

GLM requires 24–48GB VRAM depending on variant. Consumer GPUs like the RTX 5080 (16GB) or RTX 4090 (24GB) may not have enough memory for larger variants.

On ModelPilot, deploy on a dedicated cloud GPU (up to 80GB VRAM) starting at $0.53/hr with no setup required.

Includes OpenWebUI chat interface and OpenAI-compatible API endpoint.

Use Cases

  • Chinese-English bilingual AI
  • Bilingual customer support
  • Chinese content generation
  • Fast reasoning tasks

Related Models

Frequently Asked Questions

How much VRAM does GLM need?

GLM requires 24–48GB VRAM depending on the variant.

How much does it cost to run GLM?

Starting at $0.53/hr on a dedicated GPU. Billed per minute while running, with auto-stop when credits run out.

How long does GLM take to deploy?

Text models typically deploy in 5–15 minutes including model download.

Can I run GLM on my local GPU?

You can run smaller variants locally if your GPU has enough VRAM. For larger variants or sustained production use, cloud GPUs offer more capacity and reliability.

Ready to deploy GLM?

Pick your GPU and have it running in minutes. No infrastructure setup required.