Phi 4 Mini Instruct
Phi 4 Mini Instruct from Microsoft is a lightweight open model with 128K context, synthetic data training, and strong instruction-following focus.
Model Overview
Capabilities, design details, and architectural traits
Phi 4 Mini Instruct - Lightweight Instruction Model
Phi 4 Mini Instruct is Microsoft’s lightweight open model in the Phi-4 family. Official material describes it as built from synthetic data and filtered public websites, with a focus on high-quality reasoning and instruction following.
Defining Characteristics
| Aspect | Official Characteristic |
|---|---|
| Model family | Part of Microsoft’s Phi-4 line. |
| Training data | Built on synthetic data and filtered public web data. |
| Context strategy | Supports a 128K-token context window. |
| Optimization focus | Emphasizes reasoning and precise instruction adherence. |
| Safety design | Documentation highlights safety-focused fine-tuning. |
Core Design
The model is documented as a compact open model rather than a large frontier system. Its positioning centers on high-quality data curation and instruction tuning, with a clear emphasis on reasoning-oriented behavior. Official sources also present it as a lightweight option for deployments that need long context and lower resource usage.
Benchmark Performance
Independent evaluations · Artificial Analysis
Accuracy & Capability Details
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| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | Microsoft | Anthropic | Anthropic |
| Release Date | February 26, 2024 | September 22, 2026 | September 28, 2026 |
| Knowledge Cutoff | - | - | Jun 2026 |
| Context & Limits | |||
| Context Window | 131K | 1M Best Context Window | 1M Best Context Window |
| Pricing (per 1M tokens) | |||
| Input Pricing | $0.07 Best Input Pricing | $4 | $2 |
| Output Pricing | $0.30 Best Output Pricing | $20 | $10 |
| Modalities | |||
| Inputs | text | textimagefile | textimagefile |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 6.3 | 57.6 Best Intelligence Index | 56.0 |
| Coding Index | 3.8 | - | - |
| Agentic Index | 0.3 | - | - |
Humanity's Last Exam
Extremely difficult logical reasoning and knowledge.
Long Context Reasoning
Logical reasoning over long context windows.
SciCode Benchmark
Scientific coding and mathematical modeling.
Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.
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