LLM Reference
Featherless

Using Qwen2.5-72B-Instruct on Featherless

Implementation guide · Qwen2.5 · Alibaba

ServerlessOpen Source

Featherless exposes Qwen2.5-72B-Instruct through model ID Qwen/Qwen2.5-72B-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. 1
    Create an account at Featherless and generate an API key.
  2. 2
    Use the Featherless SDK or REST API to call Qwen/Qwen2.5-72B-Instruct — see the documentation for request format.
  3. 3
    You'll be billed $0.37/1M input, $0.40/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
FEATHERLESS_API_KEY
Model ID
Qwen/Qwen2.5-72B-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/Qwen2.5-72B-Instruct",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Pricing on Featherless

TypePrice (per 1M)
Input tokens$0.37
Output tokens$0.40

Capabilities

Structured Outputs

About Qwen2.5-72B-Instruct

Instruction-optimized flagship variant for demanding production applications requiring high-accuracy complex problem-solving across industries.

Model Specs

Released2024-06-07
Parameters72.7B
Context128k
ArchitectureDecoder Only

Provider

Featherless
Featherless