PhiBench

PhiBench is an internal benchmark designed to evaluate diverse skills and reasoning abilities of language models, covering a wide range of tasks including coding (debugging, extending incomplete code, explaining code snippets) and mathematics (identifying proof errors, generating related problems). Created by Microsoft's research team to address limitations of standard academic benchmarks and guide the development of the Phi-4 model.

Phi 4 Reasoning Plus from Microsoft currently leads the PhiBench leaderboard with a score of 0.742 across 3 evaluated AI models.

Paper
About this benchmark

What PhiBench measures

PhiBench is a text benchmark that evaluates large language models on math, reasoning, and general tasks. LLM Stats tracks 3 models on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.7, with the leader reaching 0.7.

Compare leaders on the best AI for math, best AI for reasoning and best AI for general leaderboards.

Publication

Paper
Phi-4 Technical Report
Authors
Marah Abdin, Jyoti Aneja, Harkirat Behl, Sébastien Bubeck, and 23 others
Published

Abstract

We present phi-4, a 14-billion parameter language model developed with a training recipe that is centrally focused on data quality. Unlike most language models, where pre-training is based primarily on organic data sources such as web content or code, phi-4 strategically incorporates synthetic data throughout the training process. While previous models in the Phi family largely distill the capabilities of a teacher model (specifically GPT-4), phi-4 substantially surpasses its teacher model on STEM-focused QA capabilities, giving evidence that our data-generation and post-training techniques go beyond distillation. Despite minimal changes to the phi-3 architecture, phi-4 achieves strong performance relative to its size -- especially on reasoning-focused benchmarks -- due to improved data, training curriculum, and innovations in the post-training scheme.

MicrosoftPhi 4 Reasoning Plus leads with 74.2%, followed by MicrosoftPhi 4 Reasoning at 70.6% and MicrosoftPhi 4 at 56.2%.

Progress Over Time

Interactive timeline showing model performance evolution on PhiBench

State-of-the-art frontier
Open
Proprietary

PhiBench Leaderboard

3 models
ContextCostLicense
114B
214B
3
Microsoft
Microsoft
15B
Notice missing or incorrect data?

FAQ

Common questions about PhiBench.

What is the PhiBench benchmark?

PhiBench is an internal benchmark designed to evaluate diverse skills and reasoning abilities of language models, covering a wide range of tasks including coding (debugging, extending incomplete code, explaining code snippets) and mathematics (identifying proof errors, generating related problems). Created by Microsoft's research team to address limitations of standard academic benchmarks and guide the development of the Phi-4 model.

What is the PhiBench leaderboard?

The PhiBench leaderboard ranks 3 AI models based on their performance on this benchmark. Currently, Phi 4 Reasoning Plus by Microsoft leads with a score of 0.742. The average score across all models is 0.670.

What is the highest PhiBench score?

The highest PhiBench score is 0.742, achieved by Phi 4 Reasoning Plus from Microsoft.

How many models are evaluated on PhiBench?

3 models have been evaluated on the PhiBench benchmark, with 0 verified results and 3 self-reported results.

Where can I find the PhiBench paper?

The PhiBench paper is available at https://arxiv.org/abs/2412.08905. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does PhiBench cover?

PhiBench is categorized under math, reasoning, and general. The benchmark evaluates text models.

What is the best open-source model on PhiBench?

Phi 4 Reasoning Plus by Microsoft is the top-ranked open-source model on PhiBench, with a score of 0.742 (rank #1).

How recent are the PhiBench leaderboard results?

The PhiBench leaderboard was last updated in June 2026 and currently includes 3 evaluated models.

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