Last refreshed 2026-06-01. Next refresh: weekly.
Why use Qwen3-30B-A3B on AWS Bedrock?
AWS Bedrock offers Qwen3-30B-A3B 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 Qwen3-30B-A3B 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="qwen3-30b-a3b",qwen3-30b-a3bRequest 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="qwen3-30b-a3b",
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 Qwen3-30B-A3B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Cloudflare Workers AI | $0.05 | $0.34 |
| OpenRouter | $0.08 | $0.28 |
| Fireworks AI | $0.50 | $0.50 |
| AWS Bedrock | $0.10 | $0.30 |
| Vercel AI Gateway | $0.08 | $0.29 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $0.30 |
Capabilities
About Qwen3-30B-A3B
Alibaba's Qwen3-30B with 3B active parameters via mixture-of-experts architecture. Delivers strong performance with efficient inference on Cloudflare Workers AI platform.
FAQ
What does Qwen3-30B-A3B cost on AWS Bedrock?
On AWS Bedrock, Qwen3-30B-A3B costs $0.10 per 1M input tokens and $0.30 per 1M output tokens.
What is the context window for Qwen3-30B-A3B on AWS Bedrock?
Qwen3-30B-A3B supports a 128k token context window on AWS Bedrock.
How does AWS Bedrock compare to other Qwen3-30B-A3B providers?
Qwen3-30B-A3B is available from 6 providers. The cheapest input pricing is $0.051/1M tokens from Cloudflare Workers AI.
Who created Qwen3-30B-A3B?
Qwen3-30B-A3B was created by Alibaba as part of the Qwen3 model family.
Is Qwen3-30B-A3B open source?
Qwen3-30B-A3B is open source under Apache 2.0 according to the seed data.