Last refreshed 2026-05-19. Next refresh: weekly.
Why use GLM-4 9B on AWS Bedrock?
AWS Bedrock offers GLM-4 9B with pay-as-you-go pricing at $0.10/1M input tokens. AWS Bedrock is Amazon's fully managed foundation-model service, providing unified API access to top models from Anthropic, Meta, Mistral, and other leading AI labs with built-in tools for RAG, fine-tuning, and AI agent development.
Compare GLM-4 9B across 4 providers to find the best fit for your use caseSetup recipe
Python + curlpip install boto3export AWS_ACCESS_KEY_ID=...import boto3
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="glm-4-9b",glm-4-9bRequest example
import boto3
# Reads AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION from env
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="glm-4-9b",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Gotchas
- Use Amazon Bedrock model IDs, e.g. "anthropic.claude-3-opus-20240229-v1:0" for on-demand, or cross-region inference profile IDs like "us.anthropic.claude-opus-4-7-20251101-v1:0". These differ from the public model slug.
- The endpoint template includes a region segment; set the same region in your SDK/client configuration.
- The examples expect AWS_ACCESS_KEY_ID; rename it only if your application config maps the new variable.
Compare GLM-4 9B Across Providers
| Provider | Input (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
| Type | Price (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 AWS Bedrock?
On AWS Bedrock, 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 AWS Bedrock?
GLM-4 9B supports a 131k token context window on AWS Bedrock.
How does AWS Bedrock 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.