long context benchmark
CorpusQA Leaderboard
CorpusQA is a multi-document, free-form long-context question answering benchmark in which a model must retrieve and reason over information distributed across a large corpus to produce open-ended answers that are scored by an LLM judge.
Updated Aug 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
CorpusQA Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score82.0% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
CorpusQA Highlights
The leading models and scores on this benchmark.
The Top AI Models for CorpusQA
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis corpusqa 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.
- 01MIMAI-Thinking-1Microsoft
- Score
- 82.0%
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures CorpusQA, not total model capability
Selection summary
Best AI Models for CorpusQA
MAI-Thinking-1 currently leads CorpusQA with 82.0%. 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 CorpusQA?
What CorpusQA measures and how its scores work.
CorpusQA is a multi-document, free-form long-context question answering benchmark in which a model must retrieve and reason over information distributed across a large corpus to produce open-ended answers that are scored by an LLM judge.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- CorpusQA
- Modality
- text
- Primary category
- long context
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- corpusqa|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about CorpusQA.
Which model scores highest on CorpusQA?
MAI-Thinking-1 is currently ranked first with 82.0%.
What does CorpusQA measure?
CorpusQA is a multi-document, free-form long-context question answering benchmark in which a model must retrieve and reason over information distributed across a large corpus to produce open-ended answers that are scored by an LLM judge.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 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.