LLM Reference
GCP Vertex AI

GLM-4 9B on GCP Vertex AI

GLM-4 · Tsinghua Knowledge Engineering Group (THUDM)

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Last refreshed 2026-05-19. Next refresh: weekly.

Why use GLM-4 9B on GCP Vertex AI?

GCP Vertex AI offers GLM-4 9B with pay-as-you-go pricing at $0.10/1M input tokens. Vertex AI is Google Cloud's managed AI platform, offering access to Gemini models and hundreds of partner models alongside tools for fine-tuning, grounding, vector search, and end-to-end MLOps pipelines.

Compare GLM-4 9B across 4 providers to find the best fit for your use case
Input / 1M
$0.10
Output / 1M
$0.10
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install google-cloud-aiplatform
Auth
export GOOGLE_CLOUD_PROJECT=...
Call
import os
import vertexai
from vertexai.generative_models import GenerativeModel
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")
Model ID
glm-4-9b

Request example

import os
import vertexai
from vertexai.generative_models import GenerativeModel

# Reads GOOGLE_CLOUD_PROJECT from env; authenticates via Application Default Credentials
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")
model = GenerativeModel("glm-4-9b")
response = model.generate_content("Hello")
print(response.text)

Gotchas

  • For Google-published models use the model name directly, e.g. "gemini-2.0-flash-001". For third-party publishers (Anthropic, Meta, etc.) use the full publisher path, e.g. "publishers/anthropic/models/claude-3-5-sonnet-v2@20241022".
  • The examples expect GOOGLE_CLOUD_PROJECT; rename it only if your application config maps the new variable.

Compare GLM-4 9B Across Providers

ProviderInput (per 1M)Output (per 1M)
Fireworks AI$0.20$0.20
Bitdeer AI$0.14$0.42
AWS Bedrock$0.10$0.10
GCP Vertex AI$0.10$0.10

Pricing

TypePrice (per 1M)
Input tokens$0.10
Output tokens$0.10

Capabilities

No model capability flags are currently sourced.

About GLM-4 9B

GLM-4 9B is Tsinghua Knowledge Engineering Group (THUDM)'s GLM-4 model. It offers a 128K-token context window.

FAQ

What does GLM-4 9B cost on GCP Vertex AI?

On GCP Vertex AI, GLM-4 9B costs $0.10 per 1M input tokens and $0.10 per 1M output tokens.

What is the context window for GLM-4 9B on GCP Vertex AI?

GLM-4 9B supports a 131k token context window on GCP Vertex AI.

How does GCP Vertex AI compare to other GLM-4 9B providers?

GLM-4 9B is available from 4 providers. The cheapest input pricing is $0.10/1M tokens from AWS Bedrock.

Who created GLM-4 9B?

GLM-4 9B was created by Tsinghua Knowledge Engineering Group (THUDM) as part of the GLM-4 model family.

Is GLM-4 9B open source?

GLM-4 9B is open source under MIT according to the seed data.

Get Started

Model Specs

Released2024-06-05
Parameters9B
Context131k
ArchitectureDecoder Only

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