How much does Qwen3 32B cost?

Qwen3 32B costs $0.08 per million input tokens and $0.28 per million output tokens on standard pricing. A workload of 20M input and 5M output tokens a month is about $3.00.

What is the context length of Qwen3 32B?

Qwen3 32B accepts up to 131,072 tokens (131K) of input and can return up to 16,384 tokens in one response.

Does Qwen3 32B support tool calling and structured outputs?

Yes, Qwen3 32B supports function/tool calling and structured (JSON) outputs. Supported tools: Function calling, Structured outputs, JSON mode, Reasoning, Log probabilities, Deterministic seed.

What inputs and outputs does Qwen3 32B support?

Qwen3 32B accepts Text as input and produces Text as output.

When was Qwen3 32B released?

Qwen3 32B was released by Qwen in 2025-04-28.

Qwen3 32B

qwen3-32b

API Provider site

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for... Built by Qwen.

Prices updated recently

Input price

$0.08

per 1M tokens · Standard

Output price

$0.28

per 1M tokens · Standard

Input limit

131K

tokens

Output limit

16K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF

Compare

Qwen3 32B price history

2 price records since 9/25/2026

Qwen3 32B cost calculator

Input20M tokens

Output5M tokens

$3.00/month

Standard pricing

Overview

What is Qwen3 32B?

Qwen3 32B is a text & reasoning model from Qwen. Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for... Its 131K context window and $0.08 input price make it a candidate for cost-sensitive, high-throughput applications.

Content workflowsClassification

Rates

Qwen3 32B pricing

Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

Input · Standard

$0.08

Per 1M tokens

Cached input · Standard

Not available

No listed cached-input rate

Capabilities

Qwen3 32B Tools

Tools available when using Qwen3 32B through supported provider APIs.

Function calling

Supported

Structured outputs

Supported

JSON mode

Supported

Reasoning

Supported

Built-in web search

Not supported

Log probabilities

Supported

Deterministic seed

Supported

Parallel tool calls

Not supported

Prompt caching

Not supported

Strengths and limitations

Strengths

Low input cost at $0.08 per million tokens suits high-volume workloads.
A 131K context window covers most focused application workflows.
Supports text & reasoning workloads in one model.

Limitations

Generated tokens cost 4× more than input tokens, which matters for verbose responses.
The 131K context window is smaller than several long-context alternatives.
Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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