Author's Description
Phi-3 Mini is a powerful 3.8B parameter model designed for advanced language understanding, reasoning, and instruction following. Optimized through supervised fine-tuning and preference adjustments, it excels in tasks involving common sense, mathematics, logical reasoning, and code processing. At time of release, Phi-3 Medium demonstrated state-of-the-art performance among lightweight models. This model is static, trained on an offline dataset with an October 2023 cutoff date.
Key Specifications
Supported Parameters
This model supports the following parameters:
Features
This model supports the following features:
Performance Summary
Microsoft's Phi-3 Mini 128K Instruct demonstrates exceptional speed, consistently ranking among the fastest models available. It also offers highly competitive pricing, making it a cost-effective solution. Furthermore, the model exhibits outstanding reliability, providing usable responses with minimal technical failures, placing it in the 98th percentile. In terms of performance across categories, Phi-3 Mini shows a mixed profile. It excels in the Ethics (98.0% accuracy) and General Knowledge (93.4% accuracy) benchmarks, indicating strong capabilities in these areas. Its Email Classification accuracy is also respectable at 87.0%. However, the model struggles significantly with Instruction Following, achieving 0.0% accuracy, which is a critical weakness. Performance in Coding (59.0% accuracy) and Reasoning (38.0% accuracy) is below average, suggesting limitations in complex problem-solving and programming tasks. While its speed and cost efficiency are significant advantages, the model's inconsistent accuracy across different domains, particularly in instruction following and complex reasoning, should be considered for specific application requirements.
Model Pricing
Current Pricing
Feature | Price (per 1M tokens) |
---|---|
Prompt | $0.1 |
Completion | $0.1 |
Price History
Available Endpoints
Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
---|---|---|---|---|
Azure
|
Azure | microsoft/phi-3-mini-128k-instruct | 128K | $0.1 / 1M tokens | $0.1 / 1M tokens |
Benchmark Results
Benchmark | Category | Reasoning | Free | Executions | Accuracy | Cost | Duration |
---|
Other Models by microsoft
|
Released | Params | Context |
|
Speed | Ability | Cost |
---|---|---|---|---|---|---|---|
Microsoft: Phi 4 Reasoning Plus | May 01, 2025 | ~14B | 32K |
Text input
Text output
|
★ | ★★★ | $$$$ |
Microsoft: MAI DS R1 | Apr 20, 2025 | — | 163K |
Text input
Text output
|
★★★★ | ★★★★★ | $$ |
Microsoft: Phi 4 Multimodal Instruct | Mar 07, 2025 | ~5.6B | 131K |
Text input
Image input
Text output
|
★★ | ★★ | $$ |
Microsoft: Phi 4 | Jan 09, 2025 | ~14B | 16K |
Text input
Text output
|
★★★★ | ★★★★ | $$ |
Microsoft: Phi-3.5 Mini 128K Instruct | Aug 20, 2024 | ~3.8B | 128K |
Text input
Text output
|
★ | ★★ | $$ |
Microsoft: Phi-3 Medium 128K Instruct | May 23, 2024 | ~14B | 128K |
Text input
Text output
|
★★ | ★ | $$$$ |
WizardLM-2 8x22B | Apr 15, 2024 | 22B | 65K |
Text input
Text output
|
★★★ | ★★ | $$$ |