Activefastllm Open Source

Phi-3.5 Mini

by Microsoft· Released August 2024· Cutoff August 2024

Phi-3.5 Mini is a lightweight, state-of-the-art open model with 3.8B parameters, optimized for high-quality reasoning and instruction following. It is part of Microsoft's Phi-3 family, designed to run efficiently on edge devices while delivering strong performance on benchmarks comparable to larger models.

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

128K tokens

Max output

—

Modalities

text

Parameters

3.8B

License

MIT

Capabilities

Function CallingCode GenerationStreamingJSON ModeReasoningMultilingual Support

Best For

On-device and resource-constrained applications requiring strong reasoning and instruction following.

Strengths

Excellent performance-to-size ratio, outperforming many larger models on reasoning benchmarks
128K token context window enables long-document processing
Optimized for edge deployment with low latency and memory footprint

Limitations

Limited to text-only input; no vision or multimodal capabilities
Smaller parameter count may limit complex creative generation
Not suitable for tasks requiring deep domain expertise without fine-tuning

Use Cases

On-device chatbots and virtual assistants

Code generation and debugging in IDEs

Document summarization and question answering

Educational tutoring and homework help

Real-time language translation

Data extraction and structured output generation

Automated customer support for mobile apps

Improvements Over Previous Model

Increased context window from 4K to 128K tokens compared to Phi-3 Mini
Improved reasoning benchmarks (e.g., MMLU 69% vs 69%? Actually Phi-3.5 Mini scores higher on several reasoning tasks)
Enhanced multilingual support with better performance on non-English languages
Added function calling capability not present in Phi-3 Mini
Optimized for faster inference on edge devices

Back to all models

Activefastllm Open Source

Phi-3.5 Mini

by Microsoft· Released August 2024· Cutoff August 2024

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

128K tokens

Max output

—

Modalities

text

Parameters

3.8B

License

MIT

Capabilities

Function CallingCode GenerationStreamingJSON ModeReasoningMultilingual Support

Best For

On-device and resource-constrained applications requiring strong reasoning and instruction following.

Strengths

Excellent performance-to-size ratio, outperforming many larger models on reasoning benchmarks
128K token context window enables long-document processing
Optimized for edge deployment with low latency and memory footprint

Limitations

Limited to text-only input; no vision or multimodal capabilities
Smaller parameter count may limit complex creative generation
Not suitable for tasks requiring deep domain expertise without fine-tuning

Use Cases

On-device chatbots and virtual assistants

Code generation and debugging in IDEs

Document summarization and question answering

Educational tutoring and homework help

Real-time language translation

Data extraction and structured output generation

Automated customer support for mobile apps

Improvements Over Previous Model

Increased context window from 4K to 128K tokens compared to Phi-3 Mini
Improved reasoning benchmarks (e.g., MMLU 69% vs 69%? Actually Phi-3.5 Mini scores higher on several reasoning tasks)
Enhanced multilingual support with better performance on non-English languages
Added function calling capability not present in Phi-3 Mini
Optimized for faster inference on edge devices

Back to all models