long context benchmark
CorpusQA
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 11, 2026
Models1
Model coverage1
MetricScore
EvidenceB
CorpusQA Ranking
Higher score ranks better on this benchmark.
| 01 | MI | 82.0% | 100.0% | 1 | C |
CorpusQA Highlights
The leading models and scores on this benchmark.
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.