Qwen3 32B API

Alibaba's Qwen 3 32B is a multilingual model with instruction-following capabilities and enhanced reasoning.

Modalities: TextText
In / Out price: $0.3068/$0.6242per 1M
Context window: 131K tokens
Released: Sep 9, 2025

Qwen3 32B overview

Qwen3 32B by Alibaba Cloud

Alibaba Cloud's Qwen3-32B is a cutting-edge open-source language model optimized for multilingual reasoning, coding, and data processing. Featuring a 131K-token context window, it delivers exceptional performance with efficient resource utilization.

Qwen3 32B specs

Model ID: alibaba/qwen3-32b
Developer: Alibaba Cloud
Context window: 131,000 tokens
Max output: 16,384 tokens
Input: Text
Output: Text
API: OpenAI-compatible, base URL https://api.aimlapi.com/v1

Qwen3-32B by Alibaba Cloud is a state-of-the-art open-source language model optimized for multilingual reasoning, code generation, and data analytics. With a 131K-token context window, it achieves top-tier benchmarks: 73.9% on HumanEval, 86.2% on GSM8K (math), and 79.6% on MMLU. Key strengths include native English/Chinese fluency, advanced tool integration (JSON), and Apache 2.0 commercial flexibility. Ideal for multilingual applications, scientific research, full-stack development, and data engineering. Outperforms alternatives like GPT-3.5 Turbo in reasoning and Mixtral-8x22B in coding while offering greater accessibility than proprietary models.

Performance Metrics

Qwen3-32B demonstrates strong results, scoring 93.8 on ArenaHard and 81.4 on AIME'24, though it trails behind top performers like Gemini2.5-Pro in some tasks. Its performance in coding benchmarks (e.g., 1977 on CodeForces) highlights its competitive but not leading capabilities in programming-related assessments.

Key Capabilities

Qwen3-32B provides balanced performance for diverse AI applications:

Multilingual Mastery: Native fluency in English/Chinese with strong support for 10+ languages
Mathematical Reasoning: State-of-the-art performance on complex quantitative tasks
Code Generation: Robust capabilities for full-stack development and debugging
Tool Integration: Supports function calling, JSON output, and API orchestration
Open-Source Advantage: Apache 2.0 licensed for commercial/research flexibility

Comparison with Other Models

Vs. Claude 4 Opus: More accessible open-source alternative (Apache 2.0 license) with stronger multilingual support
Vs. OpenAI GPT-3.5 Turbo: Superior reasoning capabilities (86.2% vs 57.1% GSM8K)
Vs. Gemini 1.5 Flash: Higher efficiency in resource-constrained deployments
Vs. Mixtral-8x22B: Better coding performance (73.9% vs 54.2% HumanEval)

Limitations

Qwen3-32B demonstrates certain constraints despite its strong performance. While excelling in reasoning and multilingual tasks, its 131K context window falls short of newer 200K+ competitors, and performance may degrade near the context limit.

Use cases

Multilingual Applications: Cross-language translation and localization systems
Scientific Research: Technical paper analysis and quantitative problem-solving
Software Development: End-to-end code generation and legacy system modernization
Data Engineering: Large-scale text processing and structured data extraction
Education: Adaptive learning systems for STEM subjects

Capabilities

Function calling
Streaming
Structured outputs
Reasoning
Web search

Qwen3 32B benchmarks by Artificial Analysis

See how Qwen3 32B compares in generation speed and latency. Data retrieved Nov 3, 2026.

Speed#215 / 21925.8Output tokens / second Latency#108 / 2161.47Seconds to first token Humanity's Last Exam#250 / 4587.4%Score GPQA Diamond#239 / 43966.8%Score

Speed

Output tokens / second

Benchmark results

Compare 9 models available on AI/ML API across 5 independent benchmarks.

Humanity's Last Exam

Expert-written questions across academic subjects.

Qwen3 32B API pricing

Qwen3 32B pricing in US dollars
Usage	Price	Unit
Input	$0.3068	1M tokens
Output	$0.6242	1M tokens

Prices from the AI/ML API price list, checked on Nov 4, 2026.

Qwen3 32B vs other models: token prices

AI/ML API input and output rates for 5 models, per million tokens.

AI/ML API model prices in USD per million tokens
Model	Input	Output
Qwen3 32B	$0.3068	$0.6242
Qwen3.8 Omni Flash	$0.15	$0.47
Qwen3.8-Flash	$0.16	$0.47
Qwen 3.8 27B	$0.4761	$3.39
Qwen3.8 Max Prime	$4.23	$12.7

How to use the Qwen3 32B API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "alibaba/qwen3-32b",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "alibaba/qwen3-32b",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "alibaba/qwen3-32b",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

All posts

Qwen3 32B FAQ

What is the context window of Qwen3 32B?

Qwen3 32B has a 131,000 tokens context window and can return up to 16,384 tokens.

What inputs and outputs does Qwen3 32B support?

Qwen3 32B takes text as input and returns text.

What is the model ID for Qwen3 32B?

Use alibaba/qwen3-32b as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

When was Qwen3 32B released?

Qwen3 32B became available on September 9, 2025.

How much does Qwen3 32B cost?

Qwen3 32B costs $0.3068 input and $0.6242 output per 1M tokens on AI/ML API, billed as you go with no subscription.

Does Qwen3 32B support streaming?

Yes, Qwen3 32B can stream responses as they are generated.

Who created Qwen3 32B?

Qwen3 32B was built by Alibaba Cloud.

Does Qwen3 32B support function calling and tools?

Yes, it supports function calling, tool use, and parallel tool calls.

Start building with Qwen3 32B

Get API key

Qwen3 32B API

alibaba/qwen3-32b

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "alibaba/qwen3-32b",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "alibaba/qwen3-32b",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "alibaba/qwen3-32b",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

Docs for AI agents Plain-text index · llms.txt API documentation API reference and examples

Talk to our sales team

Thanks for reaching out

Qwen3 32B API

Qwen3 32B overview

Qwen3 32B by Alibaba Cloud

Qwen3 32B specs

Performance Metrics

Key Capabilities

Comparison with Other Models

Limitations

Use cases

Capabilities

Qwen3 32B benchmarks by Artificial Analysis

Speed

Benchmark results

Humanity's Last Exam

GPQA Diamond

Terminal-Bench 4.0

AA-LCR

SciCode

Qwen3 32B API pricing

Qwen3 32B vs other models: token prices

How to use the Qwen3 32B API

Build with your agent

1Get your API key

2Make your first request

Related articles

Qwen3 32B FAQ

Start building with Qwen3 32B

Qwen3 32B API

Build with your agent

1Get your API key

2Make your first request

Qwen3 32B API

Qwen3 32B overview

Qwen3 32B by Alibaba Cloud

Qwen3 32B specs

Performance Metrics

Key Capabilities

Comparison with Other Models

Limitations

Use cases

Capabilities

Speed

Benchmark results

Humanity's Last Exam

GPQA Diamond

Terminal-Bench 4.0

AA-LCR

SciCode

Qwen3 32B API pricing

Qwen3 32B vs other models: token prices

How to use the Qwen3 32B API

Build with your agent

1Get your API key

2Make your first request

Models similar to Qwen3 32B

Qwen3.8 Max Prime

Qwen3.8 Omni Flash

Qwen3.8-Flash

DeepSeek-V3

DeepSeek Chat (V4.1 Flash)

DeepSeek V4.1 Flash

Related articles

Best AI Models for Agentic Workflows and Tool Use in 2026

Best LLMs for Long-Context & Multimodal Tasks in 2026

Qwen3 32B FAQ

Start building with Qwen3 32B