Qwen/Qwen3-32B

Name: Qwen/Qwen3-32B
Brand: DeepInfra Inc.
SKU: deepinfra/Qwen/Qwen3-32B
Price: 0.1000 USD
Availability: InStock

DeepInfra Inc./🇺🇸 US/chat

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.More

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Which id to call

deepinfra/Qwen/Qwen3-32B

This exact deployment on DeepInfra Inc., with no routing and no failover. Send it as the model field.

Input /1M

$0.10

DeepInfra Inc.

Output /1M

$0.30

3.0x input

Context

41K

tokens

Added

Apr 2025

chat

Capabilities 1/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

Provider rates

What Qwen/Qwen3-32B costs

Provider prices per 1M tokens, updated September 11, 2026.more

These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.

Input /1M

$0.10

Output /1M

$0.30

Cache write /1M

Cache read /1M

What a workload costs

100K input + 10K output: $0.0130
1M input + 100K output: $0.13
10M input + 1M output: $1.30

At the rates above. This endpoint does not offer prompt caching, so repeated context is billed as new input every time.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to deepinfra/Qwen/Qwen3-32B. Existing OpenAI SDK code needs no other edit.

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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)

Reference

Specs and data terms

What the catalog reports for this deployment, and what the provider does with the traffic.

Context window41K tokens

Max output-

API typechat

AddedApr 2025

Model id

Data retentionNone

Used for trainingNo

Served from🇺🇸 US

Privacy policyDeepInfra Privacy Policy →

Released 2025-04-28

Benchmark scores

Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.

GPQA Diamondreasoning

53.5%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning

7.3%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from official model cards, Artificial Analysis and public leaderboards. They measure specific skills and do not capture every aspect of model quality, so test on your own workload.

Same provider

More from DeepInfra Inc.

Newest first, on the same provider and the same key.

glm-5.3-flash

1.0M ctx/$0.15/1M

glm-5.3

1.0M ctx/$1.20/1M

deepseek-v4-pro-0813

1.0M ctx/$1.30/1M

qwen3.8

262K ctx/$2.00/1M

deepseek-v4-flash-0731

1.0M ctx/$0.09/1M

deepseek-v4-flash-0731:flex

1.0M ctx/$0.07/1M

Reference

Qwen/Qwen3-32B 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. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

What is the context window of Qwen/Qwen3-32B?

Qwen/Qwen3-32B has a context window of 41K tokens. That's roughly 55 words of input you can fit in a single prompt.

How does Qwen/Qwen3-32B perform on benchmarks?

Qwen/Qwen3-32B scores 72.7% on MMLU Pro, 53.5% on GPQA Diamond, 28.8% on LiveCodeBench. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.

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.

Can I run Qwen/Qwen3-32B through Requesty?

Yes. Qwen/Qwen3-32B runs through Requesty's OpenAI-compatible API, served from DeepInfra Inc.. You do not host the model yourself: point base_url at Requesty, set the model to "deepinfra/Qwen/Qwen3-32B", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Call Qwen/Qwen3-32B through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.

All DeepInfra Inc. models