Phi-4-mini-instruct is a lightweight open model built upon synthetic data and filtered publicly available websites - with a focus on high-quality, reasoning dense data. The model belongs to the Phi-4...
Tested on 7 benchmarks · BenchGecko score 48.4. Top scores: IFEval (73.8%), BBH (HuggingFace) (38.7%), MMLU-PRO (32.6%).
Gemma 4 26B A4B scores 47.8 (99% as good) at $0.07/1M input · 16% cheaper
HuggingFace MuSR (Multi-Step Reasoning). Tests multi-hop reasoning requiring chaining multiple facts together.
HuggingFace evaluation of MATH Level 5 problems. Competition math requiring advanced reasoning and proof construction.
HuggingFace MMLU-Pro. Harder version of MMLU with 10 answer choices instead of 4 and more challenging questions.
HuggingFace evaluation of GPQA (Graduate-Level Google-Proof Q&A). PhD-level science questions that cannot be easily searched.
- Typetext
- Context131K tokens (~66 books)
- ReleasedOct 2025
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.001
Frequently Asked Questions
Key facts · as of 2026-06-22
- Phi 4 Mini Instruct by Microsoft. BenchGecko score 48.4, rank 156 of 312 scored models (normalized average of public benchmark scores).
- List price $0.0800 input · $0.35 output per 1M tokens (as of 2026-06-22).
How to cite · data as of 2026-06-22
Phi 4 Mini Instruct · benchmarks, pricing and providers. BenchGecko, data as of 2026-06-22. https://benchgecko.ai/model/phi-4-mini-instruct
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP