LLM Reference
Featherless

Qwen3.5-27B on Featherless

Qwen3.5 · Alibaba

ServerlessOpen Source

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

Why use Qwen3.5-27B on Featherless?

Featherless offers Qwen3.5-27B with pay-as-you-go pricing at $0.30/1M input tokens. Featherless is a serverless inference provider for a large catalog of third-party open text-generation models (40,000+).

Compare Qwen3.5-27B across 5 providers to find the best fit for your use case
Input / 1M
$0.30
Output / 1M
$2.40
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export FEATHERLESS_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    base_url="https://api.featherless.ai/v1",
Model ID
Qwen/Qwen3.5-27B

Request example

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/Qwen3.5-27B",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "Qwen/Qwen3.5-27B", not the LLMReference slug "qwen3.5-27b".
  • Use exact Featherless catalog id in modelProvider.providerModelId (HF-style org/name). Not interchangeable with LLM Reference slugs.
  • The examples expect FEATHERLESS_API_KEY; rename it only if your application config maps the new variable.

Compare Qwen3.5-27B Across Providers

ProviderInput (per 1M)Output (per 1M)
DeepInfra$0.26$2.60
OpenRouter$0.20$1.56
Alibaba Cloud PAI-EAS$0.20$1.56
Novita AI$0.30$2.40
Featherless$0.30$2.40

Pricing

TypePrice (per 1M)
Input tokens$0.30
Output tokens$2.40

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured Outputs

About Qwen3.5-27B

Open-weight dense 27B multimodal Qwen3.5 model with native vision-language support. Apache 2.0.

Get Started

Model Specs

Released2026-02-24
Parameters27B
Context262k
ArchitectureDecoder Only

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