#144
MI
Phi 3.5 mini
Microsoft
25.9 LLMBoard
Microsoft model product
Phi-4-mini-reasoning is designed for multi-step, logic-intensive mathematical problem-solving tasks under memory/compute constrained environments and latency bound scenarios. Some of the use cases include formal proof generation, symbolic computation, advanced word problems, and a wide range of mathematical reasoning scenarios. These models excel at maintaining context across steps, applying structured logic, and delivering accurate, reliable solutions in domains that require deep analytical thinking.
Updated Aug 10, 2026. Default version: Phi 4 Mini Reasoning
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
No published version under this unique model currently has enough benchmark coverage to calculate a score.
Published benchmark records for the scored version currently unavailable.
No published benchmark result is linked to the scored version.
Preference and agent-evaluation signals from published Arena datasets.
The default version has no published Arena rows, or its source alias has not been resolved.
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
| Azure Cognitive Services | phi-4-mini-reasoning | global | $0.075 | $0.30 | 128K | |
| Azure | phi-4-mini-reasoning | global | $0.075 | $0.30 | 128K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| Phi 4 Mini Reasoning | N/A | 3.8B | N/A | N/A | No | MIT |
A concise description based on the published model registry.
Phi-4-mini-reasoning is designed for multi-step, logic-intensive mathematical problem-solving tasks under memory/compute constrained environments and latency bound scenarios. Some of the use cases include formal proof generation, symbolic computation, advanced word problems, and a wide range of mathematical reasoning scenarios. These models excel at maintaining context across steps, applying structured logic, and delivering accurate, reliable solutions in domains that require deep analytical thinking.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
Recommendations prioritize the same model type and family, then the closest published LLMBoard score.
Common questions about Phi 4 Mini Reasoning.
Phi 4 Mini Reasoning's default version was released on Apr 30, 2025.
Phi 4 Mini Reasoning'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 Reasoning is published under Microsoft in the model registry.
The current registry does not publish a context window for the default version.
No. The default version is not marked as having publicly available weights.
2 published provider offerings are linked to the default version.
No nearby ranked alternatives are currently available.