reasoning benchmark
CorpusQA 1M
CorpusQA 1M is a long-context question answering benchmark designed to evaluate models at approximately 1 million token contexts. Models are scored on accuracy when retrieving and reasoning over information distributed across an extremely long input corpus.
Updated Aug 7, 2026
Published models2
Registry coverage2
MetricScore
EvidenceB
CorpusQA 1M leaderboard
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | DE | 62.0% | 100.0% | 2 | C | |
| 2 | DE | 60.5% | 0.0% | 2 | C |
Score distribution
Top published rows on the benchmark's original scale.
CorpusQA 1M highlights
The top published results on this benchmark's own scale.
What is CorpusQA 1M?
Definition and scoring fields from the benchmark registry.
CorpusQA 1M is a long-context question answering benchmark designed to evaluate models at approximately 1 million token contexts. Models are scored on accuracy when retrieving and reasoning over information distributed across an extremely long input corpus.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
- Family
- CorpusQA 1M
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- corpusqa-1m|llm-stats-current
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
FAQ
Common questions about CorpusQA 1M.
Which model scores highest on CorpusQA 1M?
DeepSeek-V4-Pro-Max is currently ranked first with 62.0%.
What does CorpusQA 1M measure?
CorpusQA 1M is a long-context question answering benchmark designed to evaluate models at approximately 1 million token contexts. Models are scored on accuracy when retrieving and reasoning over information distributed across an extremely long input corpus.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 unique published model results are currently shown.
Does this benchmark affect the overall score?
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.