LLM Reference
Featherless

Phi-4 14B on Featherless

Phi-4 · Microsoft Research

ServerlessOpen Source

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

Why use Phi-4 14B on Featherless?

Featherless offers Phi-4 14B with pay-as-you-go pricing at $0.07/1M input tokens. Featherless is a serverless inference provider for a large catalog of third-party open text-generation models (40,000+).

Compare Phi-4 14B across 4 providers to find the best fit for your use case
Input / 1M
$0.070
Output / 1M
$0.14
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
microsoft/phi-4

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="microsoft/phi-4",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "microsoft/phi-4", not the LLMReference slug "phi-4".
  • 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 Phi-4 14B Across Providers

ProviderInput (per 1M)Output (per 1M)
OpenRouter$0.07$0.14
Fireworks AI$0.90$0.90
Microsoft Foundry——
Featherless$0.07$0.14

Pricing

TypePrice (per 1M)
Input tokens$0.07
Output tokens$0.14

Capabilities

Structured Outputs

About Phi-4 14B

Phi-4 14B is Microsoft Research's Phi-4 model. Weights are openly available for self-hosting and scores 56.1 on GPQA.

Get Started

Model Specs

Released2024-12-13
Parameters14B
Context16k
ArchitectureDecoder Only
Knowledge cutoff2024-06