LLM Reference
Featherless

DeepSeek V3.1 on Featherless

DeepSeek V3 · DeepSeek

ServerlessOpen Source

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

Why use DeepSeek V3.1 on Featherless?

Featherless offers DeepSeek V3.1 with pay-as-you-go pricing at $0.28/1M input tokens. Featherless is a serverless inference provider for a large catalog of third-party open text-generation models (40,000+).

Compare DeepSeek V3.1 across 9 providers to find the best fit for your use case
Input / 1M
$0.285
Output / 1M
$1.00
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
deepseek-ai/DeepSeek-V3.1

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="deepseek-ai/DeepSeek-V3.1",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "deepseek-ai/DeepSeek-V3.1", not the LLMReference slug "deepseek-v3.1".
  • 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 DeepSeek V3.1 Across Providers

ProviderInput (per 1M)Output (per 1M)
Microsoft Foundry——
Fireworks AI$0.56$1.68
NVIDIA NIM——
Together AI$0.60$1.70
AWS Bedrock$0.60$1.73
View all 9 providers →

Pricing

TypePrice (per 1M)
Input tokens$0.28
Output tokens$1.00

Capabilities

VisionMultimodalStructured OutputsCode Execution

About DeepSeek V3.1

Enhanced reasoning and grounded retrieval model from DeepSeek with multimodal text and image understanding.

Get Started