LLM Reference
Featherless

Using Qwen3-14B on Featherless

Implementation guide · Qwen3 · Alibaba

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Featherless exposes Qwen3-14B through model ID Qwen/Qwen3-14B. 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/Qwen3-14B — see the documentation for request format.
  3. 3
    You'll be billed $0.12/1M input, $0.24/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
FEATHERLESS_API_KEY
Model ID
Qwen/Qwen3-14B

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/Qwen3-14B",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Pricing on Featherless

TypePrice (per 1M)
Input tokens$0.12
Output tokens$0.24

Capabilities

Structured Outputs

About Qwen3-14B

Qwen3-14B is Alibaba's Qwen3 model. It offers a 40K-token context window.

Model Specs

Released2025-01-01
Parameters14B
Context40k
ArchitectureDecoder Only

Provider

Featherless
Featherless