Last refreshed 2026-06-04. Next refresh: weekly.
Why use Phi 4 Reasoning on Fireworks AI?
Fireworks AI offers Phi 4 Reasoning with pay-as-you-go pricing at $0.50/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Compare Phi 4 Reasoning across 2 providers to find the best fit for your use caseInput / 1M
$0.50
Output / 1M
$0.50
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FIREWORKS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],Model ID
phi-4-reasoningRequest 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-reasoning",
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 Reasoning Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $0.50 | $0.50 |
| Microsoft Foundry | — | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.50 |
| Output tokens | $0.50 |
Capabilities
Reasoning
About Phi 4 Reasoning
Phi 4 Reasoning is Microsoft Research's Phi-4 model focused on step-by-step reasoning. It offers a 128K-token context window with weights openly available for self-hosting and scores 65.8 on GPQA.
Get Started
Model Specs
Released2025-01-01
Parameters14B
Context128k
ArchitectureDecoder Only
Knowledge cutoff2025-03