Requesty
DeepInfra Inc. logo
DeepInfra Inc.

Qwen/Qwen3-32B

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique ability to switch seamlessly between a thinking mode for complex reasoning and a non-thinking mode for efficient dialogue ensures versatile, high-quality performance. Significantly outperforming prior models like QwQ and Qwen2.5, Qwen3 delivers superior mathematics, coding, commonsense reasoning, creative writing, and interactive dialogue capabilities. The Qwen3-30B-A3B variant includes 30.5 billion parameters (3.3 billion activated), 48 layers, 128 experts (8 activated per task), and supports up to 131K token contexts with YaRN, setting a new standard among open-source models.

🔧Tool calling
Try Qwen/Qwen3-32BCompareDocs

Specifications

Context window40K tokens
Max output—
API typechat
AddedApr 28, 2025
Model IDdeepinfra/Qwen/Qwen3-32B
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US
Privacy policyDeepInfra Privacy Policy →

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the DeepInfra Inc. models overview.

Pricing

Input / 1M
$0.10
Output / 1M
$0.30
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0130
1M input + 100K output$0.13
10M input + 1M output$1.30

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to deepinfra/Qwen/Qwen3-32B.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="deepinfra/Qwen/Qwen3-32B",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other DeepInfra Inc. models

Kimi K2.5
262K ctx$0.45/1M
deepseek-ai/DeepSeek-V3.1
164K ctx$0.30/1M
zai-org/GLM-4.5-Air
131K ctx$0.20/1M
zai-org/GLM-4.5
131K ctx$0.60/1M
Qwen/Qwen3-Coder-480B-A35B-Instruct
262K ctx$0.40/1M
phi-4
16K ctx$0.07/1M

Frequently asked questions

How much does Qwen/Qwen3-32B cost?
Qwen/Qwen3-32B is priced at $0.10 per million input tokens and $0.30 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of Qwen/Qwen3-32B?
Qwen/Qwen3-32B has a context window of 40K tokens. That's roughly 53 words of input you can fit in a single prompt.
What can Qwen/Qwen3-32B do?
Qwen/Qwen3-32B supports tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use Qwen/Qwen3-32B with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "deepinfra/Qwen/Qwen3-32B". The Quickstart above shows Python, JavaScript and cURL snippets.

Access Qwen/Qwen3-32B through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

Get started freeAll DeepInfra Inc. models