Microsoft
Phi-4-mini-flash-reasoning is a lightweight open model built upon synthetic data with a focus on high-quality, reasoning dense data further finetuned for more advanced math reasoning capabilities. The model belongs to the Phi-4 model family and supports 64K token context length.
Running this yourself: consumer gpu should be enough.
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33.1
Quality Score
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Arena ELO
4B
Parameters
66K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
16 of 22 public signals
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1.4K
Downloads
284
Likes
Jun 2025
Released
5/5 signals
2/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
4B
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources