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math benchmark

PhiBench Leaderboard

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.

Updated Aug 17, 2026

Models3
Model coverage3
MetricScore
EvidenceB

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PhiBench Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMIPhi 4 Reasoning PlusMicrosoftScore74.2%Percentile100.0%Participants3EvidenceCEvaluatedAug 17, 2026
Rank02ModelMIPhi 4 ReasoningMicrosoftScore70.6%Percentile50.0%Participants3EvidenceCEvaluatedAug 17, 2026
Rank03ModelMIPhi 4MicrosoftScore56.2%Percentile0.0%Participants3EvidenceCEvaluatedAug 17, 2026

PhiBench Highlights

The leading models and scores on this benchmark.

Rank #1Phi 4 Reasoning Plus74.2%Rank #2Phi 4 Reasoning70.6%Rank #3Phi 456.2%

PhiBench Score Distribution

A closer view of the leading scores on this benchmark.

PhiBench

The Top AI Models for PhiBench

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis phibench AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    MI
    Phi 4 Reasoning PlusMicrosoft
    Score
    74.2%
    Price
    $0.13 input / $0.50 output per 1M tokens

    Strengths

    • Ranks #1 of 3 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures PhiBench, not total model capability
  2. 02
    MI
    Phi 4 ReasoningMicrosoft
    Score
    70.6%
    Price
    $0.13 input / $0.50 output per 1M tokens

    Strengths

    • Ranks #2 of 3 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures PhiBench, not total model capability
  3. 03
    MI
    Phi 4Microsoft
    Score
    56.2%
    Price
    $0.13 input / $0.50 output per 1M tokens
    Speed
    Up to 33 tok/s via DeepInfra

    Strengths

    • Ranks #3 of 3 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures PhiBench, not total model capability

Selection summary

Best AI Models for PhiBench

Phi 4 Reasoning Plus currently leads PhiBench with 74.2%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Benchmark rank #1Phi 4 Reasoning Plus74.2% · $0.13 input / $0.50 output per 1M tokensBenchmark rank #2Phi 4 Reasoning70.6% · $0.13 input / $0.50 output per 1M tokensBenchmark rank #3Phi 456.2% · $0.13 input / $0.50 output per 1M tokens

What is PhiBench?

What PhiBench measures and how its scores work.

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.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
PhiBench
Modality
text
Primary category
math
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
phibench|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about PhiBench.

Which model scores highest on PhiBench?

Phi 4 Reasoning Plus is currently ranked first with 74.2%.

What does PhiBench measure?

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.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.