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HomeBenchmarkslong contextFlenQA

long context benchmark

FlenQA

Flexible Length Question Answering dataset for evaluating the impact of input length on reasoning performance of language models, featuring True/False questions embedded in contexts of varying lengths (250-3000 tokens) across three reasoning tasks: Monotone Relations, People In Rooms, and simplified Ruletaker

Updated Aug 11, 2026

Models2
Model coverage2
MetricScore
EvidenceB

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  • FAQ

FlenQA Ranking

Higher score ranks better on this benchmark.

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1MIPhi 4 Reasoning PlusMicrosoft97.9%100.0%2CAug 11, 2026
2MIPhi 4 ReasoningMicrosoft97.7%0.0%2CAug 11, 2026

FlenQA Score Distribution

A closer view of the leading scores on this benchmark.

FlenQA

FlenQA Highlights

The leading models and scores on this benchmark.

Rank #1Phi 4 Reasoning Plus97.9%Rank #2Phi 4 Reasoning97.7%

What is FlenQA?

What FlenQA measures and how its scores work.

Flexible Length Question Answering dataset for evaluating the impact of input length on reasoning performance of language models, featuring True/False questions embedded in contexts of varying lengths (250-3000 tokens) across three reasoning tasks: Monotone Relations, People In Rooms, and simplified Ruletaker

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

Family
FlenQA
Modality
text
Primary category
long context
Score direction
higher
LLMBoard eligible
No
Evaluation key
flenqa|llm-stats-current

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

FAQ

Common questions about FlenQA.

Which model scores highest on FlenQA?

Phi 4 Reasoning Plus is currently ranked first with 97.9%.

What does FlenQA measure?

Flexible Length Question Answering dataset for evaluating the impact of input length on reasoning performance of language models, featuring True/False questions embedded in contexts of varying lengths (250-3000 tokens) across three reasoning tasks: Monotone Relations, People In Rooms, and simplified Ruletaker

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

2 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

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