LLM Reference
AWS Bedrock

Qwen3-235B-A22B on AWS Bedrock

Qwen3 · Alibaba

Serverless

Last refreshed 2026-05-20. Next refresh: weekly.

Why use Qwen3-235B-A22B on AWS Bedrock?

AWS Bedrock offers Qwen3-235B-A22B with pay-as-you-go pricing at $0.40/1M 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 across 7 providers to find the best fit for your use case
Input / 1M
$0.40
Output / 1M
$1.20
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install boto3
Auth
export AWS_ACCESS_KEY_ID=...
Call
import boto3
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
    modelId="qwen3-235b-a22b",
Model ID
qwen3-235b-a22b

Request 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="qwen3-235b-a22b",
    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 Qwen3-235B-A22B Across Providers

ProviderInput (per 1M)Output (per 1M)
Fireworks AI$1.20$1.20
AWS Bedrock$0.40$1.20
OpenRouter$0.46$1.82
Venice AI
Novita AI$0.30$3.00
View all 7 providers →

Pricing

TypePrice (per 1M)
Input tokens$0.40
Output tokens$1.20

Capabilities

Structured Outputs

About Qwen3-235B-A22B

Qwen3-235B-A22B is Alibaba's Qwen3 model. It offers a 128K-token context window.

FAQ

What does Qwen3-235B-A22B cost on AWS Bedrock?

On AWS Bedrock, Qwen3-235B-A22B costs $0.40 per 1M input tokens and $1.20 per 1M output tokens.

What is the context window for Qwen3-235B-A22B on AWS Bedrock?

Qwen3-235B-A22B supports a 128,000 token context window on AWS Bedrock.

How does AWS Bedrock compare to other Qwen3-235B-A22B providers?

Qwen3-235B-A22B is available from 7 providers. The cheapest input pricing is $0.09/1M tokens from Novita AI.

Who created Qwen3-235B-A22B?

Qwen3-235B-A22B was created by Alibaba as part of the Qwen3 model family.

Is Qwen3-235B-A22B open source?

Qwen3-235B-A22B is open source under Apache 2.0 according to the seed data.

Get Started

Model Specs

Released2025-04-29
Parameters235B
Context128K
ArchitectureDecoder Only

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