AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

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.

Evaluation context and evidence

Source
LLM Stats
Publisher
Not recorded
Benchmark release
Not recorded
Collected
2026-08-17
Modality
text

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 3

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
Phi 4 Reasoning Plus0.742Not recordedNot recorded2025-04-30 · model_announcementLLM Stats
Phi 4 Reasoning0.706Not recordedNot recorded2025-04-30 · model_announcementLLM Stats
Phi 40.562Not recordedNot recorded2024-12-12 · model_announcementLLM Stats