Last refreshed 2026-10-19. Next refresh: weekly.
Why use Qwen3-235B-A22B-Instruct-2507 on AWS Bedrock?
AWS Bedrock offers Qwen3-235B-A22B-Instruct-2507 with pay-as-you-go pricing at $0.22/1M 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 Qwen3-235B-A22B-Instruct-2507 across 6 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="qwen.qwen3-235b-a22b-2507-v1:0",qwen.qwen3-235b-a22b-2507-v1:0Request 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="qwen.qwen3-235b-a22b-2507-v1:0",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Gotchas
- Use provider model ID "qwen.qwen3-235b-a22b-2507-v1:0", not the LLMReference slug "qwen3-235b-a22b-instruct-2507".
- 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 Qwen3-235B-A22B-Instruct-2507 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| AWS Bedrock | $0.22 | $0.88 |
| Novita AI | $0.09 | $0.58 |
| OpenRouter | $0.09 | $0.55 |
| GCP Vertex AI | $0.22 | $0.88 |
| Together AI | $0.20 | $0.60 |
Pricing
| 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.