Using Qwen2.5-32B-Instruct on Featherless

Implementation guide · Qwen2.5 · Alibaba

ServerlessOpen Source

Featherless exposes Qwen2.5-32B-Instruct through model ID Qwen/Qwen2.5-32B-Instruct. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-09-24. Next refresh: weekly.

Quick Start

1
Create an account at Featherless and generate an API key.
2
Use the Featherless SDK or REST API to call Qwen/Qwen2.5-32B-Instruct — see the documentation for request format.
3
You'll be billed $0.68/1M input, $1.20/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install openai

API key

FEATHERLESS_API_KEY

Model ID

Qwen/Qwen2.5-32B-Instruct

Use exact Featherless catalog id in modelProvider.providerModelId (HF-style org/name). Not interchangeable with LLM Reference slugs.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.featherless.ai/v1",
    api_key=os.environ["FEATHERLESS_API_KEY"],
)
response = client.chat.completions.create(
    model="Qwen/Qwen2.5-32B-Instruct",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Pricing on Featherless

Type	Price (per 1M)
Input tokens	$0.68
Output tokens	$1.20

Capabilities

Structured Outputs

About Qwen2.5-32B-Instruct

Instruction-tuned 32B variant for advanced content creation, analytics, and vision-language pipelines on multi-GPU infrastructure.

Full model details →

Model Specs

Released2024-06-07

Parameters32.5B

Context128k

ArchitectureDecoder Only