Phi-4 is a 14B-parameter model from Microsoft Research, designed for complex reasoning tasks and efficient operation in low-memory or rapid-response scenarios. Trained on a mix of high-quality synthetic and curated data, it is optimized for English language inputs and demonstrates strong instruction following and safety standards. For more details, see the [Phi-4 Technical Report](https://arxiv.org/pdf/2412.08905).
Pricing
Pay-as-you-go rates for this model. More details can be found here.
Input Tokens (1M)
$0.04
Output Tokens (1M)
$0.07
Capabilities
Input Modalities
Output Modalities
Usage Analytics
Token usage across the last 30 active days
Uptime
Reliability over the last 7 days
Throughput
Time-To-First-Token (TTFT)
Code Example
Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.
Basic request example. Ensure API key permissions. For more details, see our documentation.
from openai import OpenAI
client = OpenAI(
base_url="https://api.naga.ac/v1",
api_key="YOUR_API_KEY",
)
resp = client.chat.completions.create(
model="phi-4",
messages=[
{{"role": "user", "content": "What's 2+2?"}}
],
temperature=0.2,
)
print(resp.choices[0].message.content)