Phi 4 Multimodal Instruct

About Phi 4 Multimodal Instruct

Phi-4 is Microsoft's latest small language model, pushing the boundaries of what's achievable with efficient architectures. Building on the Phi series' success, Phi-4 introduces significant improvements in reasoning, coding, and general capability while maintaining a practical parameter count. The model demonstrates state-of-the-art performance for its size class, often matching or exceeding much larger models on key benchmarks. Phi-4 features an extended context window and excels at mathematical reasoning, code generation, and complex analysis. Its efficient design enables deployment on consumer hardware and cost-effective cloud instances. The model represents Microsoft's continued research into efficient AI, showing that careful training can substitute for raw scale. For developers seeking cutting-edge capability with minimal resources, Phi-4 offers the latest advances in efficient model design. It's particularly valuable for local deployment, edge computing, and applications requiring strong capability without massive compute.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with Phi 4 Multimodal Instruct API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="microsoft/phi-4-multimodal-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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