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- Phi 4 Mini
Phi 4 Mini: API Pricing, Context Window & Benchmarks
Phi 4 Mini is a language model from Microsoft, released in February 2025.
Phi 4 Mini Instruct is a lightweight (3.8B parameters) open model built upon synthetic data and filtered web data, focusing on high-quality reasoning. It supports a 128K token context length and is enhanced for instruction adherence and
Phi 4 Mini benchmarks
Rankings
Quality Tracker
Phi 4 Mini Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
Phi 4 Mini model size
Phi 4 Mini has 3.8 billion parameters and was trained on 5 trillion tokens. See how it compares to other models in the same parameter range.
Phi 4 Mini API
API availability not verified
API availability for Phi 4 Mini has not been verified. It is not currently routed through the LLM Stats gateway.
Phi 4 Mini latency
Phi 4 Mini time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
Phi 4 Mini examples
Recent arena outputs from Phi 4 Mini, picked from the highest-ranked matchups.
Phi 4 Mini license
Phi 4 Mini is released under the MIT license, which permits commercial use, has 3.8B parameters, has a knowledge cutoff of June 2024.
- License
- MIT
- Commercial use allowed
- Parameters
- 3.8B
- Knowledge cutoff
- June 2024
MIT License - allows commercial use
Phi 4 Mini resources
Official sources for Phi 4 Mini: paper or system card, official launch post, model weights.
Phi 4 Mini vs other models
The most-compared alternatives to Phi 4 Mini are Claude 3 Opus, Llama 3.2 90B Instruct, Granite 3.3 8B Instruct. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Phi 4 Mini
Models ranked just above and below Phi 4 Mini by LLM Stats score.
FAQ
Common questions about Phi 4 Mini.