Ann NgAnn Ng
5 min read

Use Qwen3 32B (dense) AWS Bedrock with your own API key on TypingMind

AWS Bedrock is a fully managed AWS service that gives you access to 100+ foundation models from leading AI providers — including Anthropic Claude, Meta Llama, Mistral, and more — through a single OpenAI-compatible API.

Here is how to use Qwen3 32B (dense) (qwen.qwen3-32b-v1:0) AWS Bedrock on TypingMind.

Qwen3 32B (dense) Overview

Model NameQwen3 32B (dense)
ProviderAWS Bedrock
Model IDqwen.qwen3-32b-v1:0
Release DateSep 18, 2025
Last UpdatedSep 18, 2025
Knowledge Cutoff2024-04
Context Window16,384 tokens
Max Output16,384 tokens
Pricing /1M tokens$0.15 input
$0.6 output
Input Modalitiestext
Output Modalitiestext
Capabilities
ReasoningTool CallingTemperature ControlOpen Weights

Complete Setup Guide

1

Create an AWS Account

Go to aws.amazon.com and create an AWS account if you don't have one. Amazon Bedrock provides automatic access to serverless foundation models in your AWS Region — no manual model enablement required.

2

Generate a Bedrock API Key

AWS Bedrock API keys console

AWS Bedrock supports two types of API keys:

  • Long-term key — Valid from 1 day up to 365 days (or never expires). Linked to a specific IAM user. Best for quick exploration.
  • Short-term key — Valid up to 12 hours. Uses AWS Signature V4. Best for secure, session-based access.

To generate a long-term API key:

  1. Go to the AWS Bedrock Console
  2. Navigate to API keys (under your account/settings area)
  3. Click Generate API key
  4. Set an expiration (or leave it for long-term)
  5. Copy and save the generated API key securely — you won't be able to see it again
Generate long-term API keys on AWS Bedrock

⚠️ Important: Keep your API key secure and never share it publicly. Store it safely as you'll need it to connect with TypingMind.

4

Add a Custom Model to TypingMind

Go to typingmind.com, click the Models tab on the left workspace bar, then click "Add Custom Model" in the top right corner.

TypingMind Models page with Add custom model button

Select "Create Manually" as the creation method.

Add Custom Model form in TypingMind

Fill in the following fields:

FieldValue
NameAWS Bedrock Qwen3 32B (dense)(or any name you prefer)
API TypeOpenAI Chat Completions API
Endpoint URLhttps://bedrock-mantle.{your-region}.api.aws/v1/chat/completions

Replace {your-region} with your AWS region, e.g. us-east-1

Example: https://bedrock-mantle.us-east-1.api.aws/v1/chat/completions

Model IDqwen.qwen3-32b-v1:0
Context Length16,384for Qwen3 32B (dense)

Scroll down to the Authentication section and set:

FieldValue
Authentication TypeAPI Key via HTTP Header
Header KeyAuthorization
Header ValueBearer {{API key}}
AWS Bedrock authentication settings in TypingMind

Under Model Capabilities, enable the features supported by your chosen model:

  • ✅ Support System Role — recommended for most models
  • ✅ Support Streaming Output — recommended for all models
  • ☑️ Support Plugins — enable if the model supports function/tool calling (e.g., Claude, Llama 3)
  • ☑️ Support Image Input — enable for vision-capable models (e.g., Claude)
  • ☑️ Support Thinking — enable for reasoning/thinking models (e.g., Claude with extended thinking)
  • ☑️ Support Prompt Caching — enable if the model supports prompt caching to reduce latency and cost
Model Capabilities settings in TypingMind

After filling in all fields, click "Test". If everything is set up correctly, you will see the message "Nice, the endpoint is working!"

Click "+ Add Model" to finish.

5

Use the Model

Now you can select your newly added Bedrock model from the model picker and start chatting!

  • Select Qwen3 32B (dense) from the model dropdown menu
  • Start typing your message in the chat input
  • Enjoy faster responses and better features than the official interface
  • Switch between different AI models as needed
typingmind.com
Chat with Qwen3 32B (dense) via AWS Bedrock on TypingMindAWS BedrockAWS BedrockAWS Bedrock Qwen3 32B (dense)

💡 Pro tips for better results:

AWS Bedrock FAQ

Why use Qwen3 32B (dense) on AWS Bedrock with TypingMind instead of the official AWS console?

The AWS Bedrock console is built for developers and API testing — not for everyday AI chat. TypingMind gives you a polished, full-featured chat interface on top of AWS Bedrock: conversation history, prompt library, AI agents, plugin support, file uploads, and more. You bring your own AWS Bedrock API key and pay only for what you use, with no TypingMind subscription required.

Do I need an AWS subscription to use Qwen3 32B (dense) on AWS Bedrock?

No subscription required. AWS Bedrock uses pay-as-you-go pricing — you only pay for the tokens you use. There are no monthly fees or minimum commitments. TypingMind is also a one-time purchase, not a subscription.

How much does it cost to use Qwen3 32B (dense) via AWS Bedrock?

Qwen3 32B (dense) on AWS Bedrock costs $0.15/1M input tokens and $0.6/1M output tokens. A typical conversation costs $0.01–0.10 depending on length. You can monitor usage directly in the AWS Console.

What is AWS Bedrock and how does it work with TypingMind?

AWS Bedrock is a fully managed AWS service that provides access to 100+ foundation models via a single OpenAI-compatible API. TypingMind lets you connect to AWS Bedrock using your own API key, so you can chat with models like Qwen3 32B (dense) directly — without any intermediary subscription.

Can I use other AWS Bedrock models besides Qwen3 32B (dense) in TypingMind?

Yes! AWS Bedrock gives you access to 100+ foundation models from Anthropic, Meta, Mistral, Amazon, and more. You can add multiple models as custom models in TypingMind and switch between them instantly in any conversation.

Is my data private when using AWS Bedrock with TypingMind?

Yes. TypingMind stores your conversations locally — in your browser (web) or on your device (desktop app). AWS Bedrock processes requests within your own AWS account with enterprise-grade security. Your data never passes through TypingMind servers.

Which AWS regions support AWS Bedrock?

AWS Bedrock is available in multiple regions including us-east-1 (N. Virginia), us-west-2 (Oregon), eu-west-1 (Ireland), ap-southeast-1 (Singapore), and more. Model availability may vary by region — check the AWS Bedrock documentation for the full list.

Can I use Qwen3 32B (dense) on AWS Bedrock for commercial projects?

Yes. Both AWS Bedrock and TypingMind support commercial use. Review the model provider's terms of service for any model-specific restrictions. AWS Bedrock's enterprise security and compliance features make it well-suited for production workloads.