Microsoft model product
8B-parameter open model from Microsoft with a 128K-token context length.
Updated Sep 8, 2026. Default version: Phi 4 Mini
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Phi 4 Mini.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkOpenBookQA | Score79.20% | Rank03 | Participants5 | Percentile50.00% | EvidenceC | Evaluated |
| BenchmarkSocial IQa | Score72.50% | Rank03 | Participants9 | Percentile75.00% | EvidenceC | Evaluated |
| BenchmarkTruthfulQA | Score66.40% | Rank04 | Participants18 | Percentile82.35% | EvidenceC | Evaluated |
| BenchmarkMultilingual MMLU | Score49.30% | Rank05 | Participants5 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkBoolQ | Score81.20% | Rank07 | Participants10 | Percentile33.33% | EvidenceC | Evaluated |
| BenchmarkPIQA | Score77.60% | Rank10 | Participants11 | Percentile10.00% | EvidenceC | Evaluated |
| BenchmarkBIG-Bench Hard | Score70.40% | Rank12 | Participants21 | Percentile45.00% | EvidenceC | Evaluated |
| BenchmarkARC-C | Score83.70% | Rank15 | Participants34 | Percentile57.58% | EvidenceC | Evaluated |
| BenchmarkWinogrande | Score67.00% | Rank19 | Participants22 | Percentile14.29% | EvidenceC | Evaluated |
| BenchmarkArena Hard | Score32.80% | Rank24 | Participants26 | Percentile8.00% | EvidenceC | Evaluated |
| BenchmarkMGSM | Score63.90% | Rank24 | Participants31 | Percentile23.33% | EvidenceC | Evaluated |
| BenchmarkHellaSwag | Score69.10% | Rank26 | Participants27 | Percentile3.85% | EvidenceC | Evaluated |
| BenchmarkGSM8k | Score88.60% | Rank32 | Participants48 | Percentile34.04% | EvidenceC | Evaluated |
| BenchmarkMATH | Score64.00% | Rank45 | Participants71 | Percentile37.14% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score67.30% | Rank90 | Participants101 | Percentile11.00% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score52.80% | Rank119 | Participants138 | Percentile13.87% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score25.20% | Rank241 | Participants247 | Percentile2.44% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderNvidia | Provider model IDmicrosoft/phi-4-mini-instruct | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context131.1K | Updated |
| ProviderAzure Cognitive Services | Provider model IDphi-4-mini | Regionglobal | Input / 1M$0.075 | Output / 1M$0.30 | Context128K | Updated |
| ProviderAzure | Provider model IDphi-4-mini | Regionglobal | Input / 1M$0.075 | Output / 1M$0.30 | Context128K | Updated |
| ProviderNanoGPT | Provider model IDphi-4-mini-instruct | Regionglobal | Input / 1M$0.17 | Output / 1M$0.68 | Context128K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
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.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionPhi 4 Mini | Released | LLMBoard0.00 | Parameters3.8B | ContextN/A | Max outputN/A | Open weightsYes | LicenseMIT |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Phi 4 Mini and its available data.
Phi 4 Mini Instruct is a Microsoft open model built on synthetic data and filtered web data, with a focus on high-quality reasoning. It is enhanced for instruction adherence and safety through supervised fine-tuning and direct preference optimization.
Data as of 2026-09-08.
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.
A context window is not available for the default version.
Yes. The default version is marked as open weight under MIT.
4 provider offerings are linked to the default version.