Phi-3 Mini Instruct 3.8B
Phi-3 Mini Instruct 3.8B is an API model from Microsoft. It’s positioned for general text tasks—work that benefits from iteration, not just one-shot answers.
Context
4K
Up to 4,096 tokens
Core Capabilities
Long Documents
Handles entire codebases, books, and multi-doc RAG.
Context Window
4k tokens
≈ short doc
4k This model 本模型
32k Long docs 长文档
128k Books 整本书
400k Multi-doc 多文档
1M Codebase 整个代码库
10M
Availability
API
Available
Product / App
Not available
Open Source
Not released
Enterprise
Contact sales
Pricing Model
Pay per token
Input and output billed separately.
Pay-per-token Capability / Performance
Where this model sits relative to the middle 60% of models in the tree. All scores are 0–10 (higher is better).
Lower 20% Upper 80% This model
Context / memory
Context window size · log-scaled
6.0
9.0
1.0
Lower 20% 20th percentile — 20% of models score below this This model Where the current model lands Upper 80% 80th percentile — only 20% of models score above this
Percentile boundaries are computed across every model in the tree that reports the underlying benchmark for each capability.
What it feels like
- Phi-3-mini (3.8B) runs entirely on a phone yet matches GPT-3.5-class quality on common reasoning benchmarks
- First widely-deployed open SLM that proved high-quality synthetic + filtered data beats raw scale
- Outperforms models same-size and one-tier-up on language, reasoning, coding, and math benchmarks
Best use cases
- On-device / phone / laptop deployments where no GPU is available
- Edge inference for IoT, mobile apps, offline assistants
- Reasoning-driven workflows where fine-tuned synthetic data beats general-knowledge breadth
Tools to try
Not ideal for
- Broad-knowledge chat — limited factual recall by design
- Multilingual production beyond English
Model Evolution
phi is Microsoft's language model family.