long context benchmark
FlenQA Leaderboard
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 17, 2026
Models2
Model coverage2
MetricScore
EvidenceB
FlenQA Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score97.9% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelMI | Score97.7% | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
FlenQA Highlights
The leading models and scores on this benchmark.
FlenQA Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for FlenQA
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis flenqa 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.
- 01MIPhi 4 Reasoning PlusMicrosoft
- Score
- 97.9%
- Price
- $0.13 input / $0.50 output per 1M tokens
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures FlenQA, not total model capability
- 02MIPhi 4 ReasoningMicrosoft
- Score
- 97.7%
- Price
- $0.13 input / $0.50 output per 1M tokens
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures FlenQA, not total model capability
Selection summary
Best AI Models for FlenQA
Phi 4 Reasoning Plus currently leads FlenQA with 97.9%. 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.
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.