Using DeepSeek V3.2 on Featherless

Implementation guide · DeepSeek V3 · DeepSeek

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Featherless exposes DeepSeek V3.2 through model ID deepseek-ai/DeepSeek-V3.2. 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
Create an account at Featherless and generate an API key.
2
Use the Featherless SDK or REST API to call deepseek-ai/DeepSeek-V3.2 — see the documentation for request format.
3
You'll be billed $0.26/1M input, $0.41/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install openai

API key

FEATHERLESS_API_KEY

Model ID

deepseek-ai/DeepSeek-V3.2

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="deepseek-ai/DeepSeek-V3.2",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Pricing on Featherless

Type	Price (per 1M)
Input tokens	$0.26
Output tokens	$0.41

Capabilities

Structured OutputsCode Execution

About DeepSeek V3.2

DeepSeek V3.2 is DeepSeek's DeepSeek V3 model. It offers a 160K-token context window with weights openly available for self-hosting and scores 70 on SWE-bench Verified.

Full model details →

Model Specs

Released2025-12-01

Parameters671B

Context160k

ArchitectureDecoder Only