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A head-to-head benchmark comparison of Phi-4-Reasoning-plus across 11 evaluations.
We introduce Phi-4-reasoning, a 14-billion parameter reasoning model that achieves strong performance on complex reasoning tasks. Trained via supervised fine-tu.
Full Phi-4-Reasoning-plus specs →| Benchmark | Phi-4-Reasoning-plus |
|---|---|
| code | |
| Codeforces Elo | 1,723 |
| LiveCodeBench v5 | 51.7% |
| LiveCodeBench v6 | 47.1% |
| general | |
| IFEval | 84.9% |
| MMLU-Pro | 76% |
| MMLU-Redux | 90.8% |
| math | |
| AIME 2024 | 81.3% |
| AIME 2025 | 78% |
| HMMT February 2025 | 53.6% |
| Omni-MATH | 81.9 |
| reasoning | |
| GPQA Diamond | 69.3% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Phi-4-Reasoning-plus has the strongest result on Codeforces Elo among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 11 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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