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.
DeepSeek-V4-Pro-Max from DeepSeek currently leads the CorpusQA 1M leaderboard with a score of 0.620 across 2 evaluated AI models.
DeepSeek-V4-Pro-Max leads with 62.0%, followed by DeepSeek-V4-Flash-Max at 60.5%.
Progress Over Time
Interactive timeline showing model performance evolution on CorpusQA 1M
CorpusQA 1M Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  DeepSeek | 1.6T | 1.0M | $1.74 / $3.48 | ||
| 2 | DeepSeek | 284B | 1.0M | $0.14 / $0.28 |
FAQ
Common questions about CorpusQA 1M.
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