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
- 2Use the Featherless SDK or REST API to call
Qwen/Qwen3-14B— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
FEATHERLESS_API_KEYModel ID
Qwen/Qwen3-14BUse 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
| Type | Price (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