long context benchmark
FlenQA is a long-context question-answering benchmark with True/False questions in contexts of 250-3000 tokens across three reasoning tasks.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score97.90% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelMI | Score97.70% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What FlenQA measures and how its scores work.
FlenQA is a Flexible Length Question Answering dataset for evaluating language models on True/False questions embedded in contexts of varying lengths across Monotone Relations, People In Rooms, and simplified Ruletaker.
It measures reasoning performance as Score (ratio) across input contexts ranging from 250 to 3000 tokens.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about FlenQA.
Phi 4 Reasoning Plus is currently ranked first with 97.90%.
The current leaders are Phi 4 Reasoning Plus (97.90%) and Phi 4 Reasoning (97.70%).
Phi 4 Reasoning Plus has the lowest matched official input price at $0.13 input / $0.50 output per 1M tokens.
No matched runtime record is currently available.
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures reasoning performance as Score (ratio) across input contexts ranging from 250 to 3000 tokens.
Yes. Higher values rank better for this benchmark.
2 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis flenqa AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Phi 4 Reasoning Plus currently leads FlenQA with 97.90%. 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.