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.
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.
Qwen3-32B provides balanced performance for diverse AI applications:
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.
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "alibaba/qwen3-32b", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = 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": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST 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":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| LiveCodeBench | 62.7% | Contamination-free competitive programming problems | Source | July 8, 2026 |
| AIME 2025 | 69.5% | Competition mathematics (AIME), 2025 | Source | July 8, 2026 |
| Intelligence | 7.3 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Math | 19.7 | Composite score across standardised mathematics evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Qwen3 32B This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Qwen3 32B has a 131,000 tokens context window and can return up to 16,384 tokens.
Qwen3 32B takes text as input and returns text.
Use alibaba/qwen3-32b as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Qwen3 32B became available on September 9, 2025.
Qwen3 32B is priced at input $0.208 / 1M tokens, output $0.832 / 1M tokens.
Yes, Qwen3 32B can stream responses as they are generated.
Qwen3 32B was built by Alibaba Cloud.
Yes, it supports function calling, tool use, and parallel tool calls.
