Using Qwen3-235B-A22B-Instruct-2507 on AWS Bedrock
Implementation guide · Qwen3 · Alibaba
AWS Bedrock exposes Qwen3-235B-A22B-Instruct-2507 through model ID qwen.qwen3-235b-a22b-2507-v1:0. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-10-19. Next refresh: weekly.
Quick Start
- 1
- 2Use the AWS Bedrock SDK or REST API to call
qwen.qwen3-235b-a22b-2507-v1:0— see the documentation for request format. - 3
Code Examples
pip install boto3AWS_ACCESS_KEY_IDqwen.qwen3-235b-a22b-2507-v1:0Use 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.
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="qwen.qwen3-235b-a22b-2507-v1:0",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Pricing on AWS Bedrock
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.22 |
| Output tokens | $0.88 |
Capabilities
No model capability flags are currently sourced.
About Qwen3-235B-A22B-Instruct-2507
Qwen3-235B-A22B-Instruct-2507 is Alibaba Qwen's July 2025 non-thinking update of Qwen3-235B-A22B, a mixture-of-experts model with 22B active of 235B total parameters. Qwen dropped the hybrid thinking mode and trained separate Instruct and Thinking models; this is the Instruct release, with Apache-2.0 open weights on Hugging Face.