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Qwen/Qwen2.5-Coder-32B-Instruct

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/Qwen2.5-Coder-32B-InstructCompareDocs

Specifications

Context window16K tokens
Max output—
API typechat
AddedApr 28, 2025
Model IDdeepinfra/Qwen/Qwen2.5-Coder-32B-Instruct
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
$0.07
Output / 1M
$0.16
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0086
1M input + 100K output$0.0860
10M input + 1M output$0.86

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/Qwen2.5-Coder-32B-Instruct.

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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/Qwen2.5-Coder-32B-Instruct",
    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/Qwen2.5-Coder-32B-Instruct cost?
Qwen/Qwen2.5-Coder-32B-Instruct is priced at $0.07 per million input tokens and $0.16 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/Qwen2.5-Coder-32B-Instruct?
Qwen/Qwen2.5-Coder-32B-Instruct has a context window of 16K tokens. That's roughly 22 words of input you can fit in a single prompt.
What can Qwen/Qwen2.5-Coder-32B-Instruct do?
Qwen/Qwen2.5-Coder-32B-Instruct supports tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use Qwen/Qwen2.5-Coder-32B-Instruct 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/Qwen2.5-Coder-32B-Instruct". The Quickstart above shows Python, JavaScript and cURL snippets.

Access Qwen/Qwen2.5-Coder-32B-Instruct through Requesty

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

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