Phi 4 Reasoning Plus

About Phi 4 Reasoning Plus

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

Microsoft Model Lineup

Compare all models from Microsoft to find the best fit

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Llama 3.3 70B Instruct

Meta

Input: $0.10

Output: $0.32

Context: 131k

Qwen3 30B A3B Instruct 2507

Alibaba Qwen

Input: $0.08

Output: $0.33

Context: 262k

Qwen2.5 Coder 32B Instruct

Alibaba Qwen

Input: $0.20

Output: $0.20

Context: 33k

Qwen2.5-VL 7B Instruct

Alibaba Qwen

Input: $0.20

Output: $0.20

Context: 33k

💡 Cheaper Alternatives

Same Brand (Microsoft)

Cross Brand

🚀 Quick Start

Get started with Phi 4 Reasoning Plus 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-reasoning-plus-04-30",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Continue Your Decision