Phi-3 Mini
Phi-3 Mini is Microsoft's entry in a crowded field. Context window: 0.128K tokens.
Context
128K
Input
Free (open)
Key Specifications
Arena Rank
Not disclosed
Context Window
128K
Input Price
per 1M tokens
Free (open)
Output Price
per 1M tokens
Free (open)
Parameters
3.8B
Open Source
Best For
About Phi-3 Mini
Phi-3 Mini, developed by Microsoft, is a compact open-source model with 3.8 billion parameters and a 128K token context window. The model demonstrates that high-quality training data can compensate for small parameter counts, achieving performance comparable to models several times its size on reasoning and coding benchmarks. Its minimal footprint enables deployment on mobile devices, edge hardware, and laptops without GPU acceleration. Phi-3 Mini is designed for on-device AI applications where network connectivity, latency, or data privacy requirements prevent cloud-based processing. Free and open-source, it supports fine-tuning and commercial use. The model has been influential in validating Microsoft's research thesis that data quality and training methodology matter more than raw scale, contributing to the broader industry trend toward efficient, compact models.
Pricing per 1M tokens
Input Tokens
Free (open)
Output Tokens
Free (open)
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