LLM Reference
Featherless

Using Qwen3.6-27B on Featherless

Implementation guide · Qwen3.6 · Alibaba

ServerlessOpen Source

Featherless exposes Qwen3.6-27B through model ID Qwen/Qwen3.6-27B. 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/Qwen3.6-27B — see the documentation for request format.
  3. 3
    You'll be billed $0.32/1M input, $2.70/1M output tokens. See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

Install
pip install openai
API key
FEATHERLESS_API_KEY
Model ID
Qwen/Qwen3.6-27B

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/Qwen3.6-27B",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Pricing on Featherless

TypePrice (per 1M)
Input tokens$0.32
Output tokens$2.70

Capabilities

VisionMultimodalReasoningJSON / Tool use

About Qwen3.6-27B

Open-weight dense Qwen3.6 27B model with native multimodal support across text, image, and video. Apache 2.0.

Full model details →

Model Specs

Released2026-04-27
Parameters27B
Context262k
ArchitectureDecoder Only

Also available on(4)

OpenRouter$0.32/1MAlibaba Cloud PAI-EAS$0.32/1MVercel AI Gateway$0.60/1M
Compare all providers →

Provider

Featherless
Featherless