Phi-4 Mini on Fireworks AI

Name: Phi-4 Mini on Fireworks AI
Brand: Microsoft Research
SKU: phi-4-mini-fireworks-ai

Phi-4 · Microsoft Research

Deprecated

Open Source

Last refreshed 2026-10-18. Next refresh: weekly.

Why use Phi-4 Mini on Fireworks AI?

Fireworks AI offers Phi-4 Mini. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.

Compare Phi-4 Mini across 4 providers to find the best fit for your use case

Input / 1M

Output / 1M

Cache

Not sourced

Batch

Not sourced

Setup recipe

Python + curl

Install

pip install openai

Auth

export FIREWORKS_API_KEY=...

Call

import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],

Model ID

phi-4-mini

Request example

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
    base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
    model="phi-4-mini",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.

Compare Phi-4 Mini Across Providers

Provider	Input (per 1M)	Output (per 1M)
Fireworks AI	—	—
NVIDIA NIM	—	—
Novita AI	$0.05	$0.15
Microsoft Foundry	$0.07	$0.30

Capabilities

No model capability flags are currently sourced.

About Phi-4 Mini

Phi-4 family model from Microsoft Research. Mini variant with efficient performance.

Get Started

Model Card Docs Portal Pricing

Model Specs

Released2024-12-13

Parameters3.8B

Context128K

Knowledge cutoff2024-06