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qwen.qwen3-32b-v1:0 Cost Calculator - AWS Bedrock

Calculate the cost of using qwen.qwen3-32b-v1:0 from AWS Bedrock for your AI applications

Pricing data last updated:

qwen.qwen3-32b-v1:0 Cost Calculator

Mode: Chat

Max: 131,072 tokens

Max: 16,384 tokens

Cost Breakdown

Input Cost$0.00015000
Output Cost$0.00060000
Total Cost$0.00075000

Pricing Details

Input: $0.0000001500 per token
Output: $0.0000006000 per token
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Model Specifications

Capabilities

Function Calling
Reasoning

Limits

Max Input Tokens131,072
Max Output Tokens16,384
Max Tokens16,384

About qwen.qwen3-32b-v1:0

qwen.qwen3-32b-v1:0 is a chat model from AWS Bedrock, one of 317 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.60 per 1M output tokens, ranking 471 out of 2292 chat models by cost and cheaper than 77% of models in this category. qwen.qwen3-32b-v1:0 supports function calling, reasoning. It accepts up to 131K input tokens.

Pricing Information

Input Cost$0.15 per 1M tokens
Output Cost$0.60 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens131,072
Maximum Output Tokens16,384
Maximum Total Tokens16,384

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 131,072 input tokens. The maximum output length is 16,384 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Advanced Reasoning - Complex problem-solving capabilities

How qwen.qwen3-32b-v1:0 Pricing Compares

At $0.15 per 1M input tokens and $0.60 per 1M output tokens, qwen.qwen3-32b-v1:0 ranks 471 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 77% of models in this category.

qwen.qwen3-32b-v1:0 is one of 317 AWS Bedrock chat models, with support for function calling, reasoning.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen.qwen3-32b-v1:0
Phi-4-reasoningAzure$0.13$0.50-17%
qwen3-next-80b-a3b-thinkingDashscope$0.15$1.200%
qwen3-vl-32b-thinkingDashscope$0.16$2.87+7%

Alternatives to qwen.qwen3-32b-v1:0

Similar chat models from other providers

Azure
Phi-4-reasoning
$0.13/1M input
-17% vs qwen.qwen3-32b-v1:0
Dashscope
qwen3-next-80b-a3b-thinking
$0.15/1M input
0% vs qwen.qwen3-32b-v1:0
Dashscope
qwen3-vl-32b-thinking
$0.16/1M input
+7% vs qwen.qwen3-32b-v1:0
Fireworks AI
deepseek-v4-flash
$0.14/1M input
-7% vs qwen.qwen3-32b-v1:0
Fireworks AI
gpt-oss-120b
$0.15/1M input
0% vs qwen.qwen3-32b-v1:0

Frequently Asked Questions

Is qwen.qwen3-32b-v1:0 cheaper than Phi-4-reasoning?

No. qwen.qwen3-32b-v1:0 costs $0.15 per 1M input tokens while Phi-4-reasoning costs $0.13 per 1M input tokens, making Phi-4-reasoning 17% more affordable for input. However, qwen.qwen3-32b-v1:0 may offer different capabilities or performance characteristics that justify the price difference.

How does qwen.qwen3-32b-v1:0 pricing compare to the average chat model?

qwen.qwen3-32b-v1:0 input pricing is $0.15 per 1M tokens, which is 73% below the median of $0.55 for chat models. It ranks 471 out of 2292 chat models by input cost, making it cheaper than 77% of models in this category. For output, it costs $0.60 per 1M tokens compared to the median of $1.50.

What makes qwen.qwen3-32b-v1:0 different from other AWS Bedrock models?

Among AWS Bedrock's 317 chat models, qwen.qwen3-32b-v1:0 ranks 31 by input cost.

What are the best alternatives to qwen.qwen3-32b-v1:0?

The most comparable chat models to qwen.qwen3-32b-v1:0 are: Phi-4-reasoning from Azure ($0.13/1M input tokens); qwen3-next-80b-a3b-thinking from Dashscope ($0.15/1M input tokens); qwen3-vl-32b-thinking from Dashscope ($0.16/1M input tokens); deepseek-v4-flash from Fireworks AI ($0.14/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.

How do I calculate qwen.qwen3-32b-v1:0 costs?

qwen.qwen3-32b-v1:0 is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.15 and generating 1M output tokens costs $0.60.