Microsoft model product
8B parameters) open model built upon synthetic data and filtered web data, focusing on high-quality reasoning.
Updated Aug 12, 2026. Default version: Phi 4 Mini
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Phi 4 Mini.
| OpenBookQA | 79.2% | 03 | 5 | 50.0% | C | |
| Social IQa | 72.5% | 03 | 9 | 75.0% | C | |
| TruthfulQA | 66.4% | 04 | 18 | 82.3% | C | |
| Multilingual MMLU | 49.3% | 05 | 5 | 0.0% | C | |
| BoolQ | 81.2% | 07 | 10 | 33.3% | C | |
| PIQA | 77.6% | 10 | 11 | 10.0% | C | |
| BIG-Bench Hard | 70.4% | 12 | 21 | 45.0% | C | |
| ARC-C | 83.7% | 15 | 34 | 57.6% | C | |
| Winogrande | 67.0% | 19 | 22 | 14.3% | C | |
| Arena Hard | 32.8% | 24 | 26 | 8.0% | C | |
| MGSM | 63.9% | 24 | 31 | 23.3% | C | |
| HellaSwag | 69.1% | 26 | 27 | 3.9% | C | |
| GSM8k | 88.6% | 32 | 48 | 34.0% | C | |
| MATH | 64.0% | 45 | 71 | 37.1% | C | |
| MMLU | 67.3% | 90 | 100 | 10.1% | C | |
| MMLU-Pro | 52.8% | 111 | 129 | 14.1% | C | |
| GPQA | 25.2% | 228 | 234 | 2.6% | C |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Provider-specific output speed and catalog latency for Phi 4 Mini. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Official vendor API pricing appears first, followed by individual provider offers.
| Nvidia | microsoft/phi-4-mini-instruct | global | N/A | N/A | 131.1K | |
| Azure Cognitive Services | phi-4-mini | global | $0.075 | $0.30 | 128K | |
| Azure | phi-4-mini | global | $0.075 | $0.30 | 128K | |
| NanoGPT | phi-4-mini-instruct | global | $0.17 | $0.68 | 128K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Available versions of this model. The score column identifies the version used in the overall ranking.
| Phi 4 Mini | 0.0 | 3.8B | 128K | 4.1K | Yes | MIT |
Key information about Phi 4 Mini and its available data.
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 safety via supervised fine-tuning and direct preference optimization.
Data as of 2026-08-11.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Common questions about Phi 4 Mini.
Phi 4 Mini's default version was released on Feb 1, 2025.
Phi 4 Mini's official API price is $0.075 per million input tokens and $0.30 per million output tokens via Azure. The lowest tracked third-party offer starts at $0.075 input and $0.30 output via Azure Cognitive Services.
Phi 4 Mini was created by Microsoft.
The default version has a 128K token context window.
Yes. The default version is marked as open weight under MIT.
4 provider offerings are linked to the default version.
Nearby ranked alternatives include Llama 3.1 8B, Qwen2 7B, ERNIE 4.5.