Benchmark profile
CorpusQA 1M
A million-token CorpusQA long-context question-answering benchmark reported in DeepSeek-V4 model evaluations.
Data verifiedBenchmark score on CorpusQA 1M — July 23, 2026
BenchLM mirrors the published score view for CorpusQA 1M. DeepSeek V4 Pro (Max) leads the public snapshot at 62.0% , followed by DeepSeek V4 Flash (Max) (60.5%) and DeepSeek V4 Flash (High) (59.3%). BenchLM does not use these results to rank models overall.
DeepSeek V4 Pro (Max)
DeepSeek
deepseek-v4-pro-max
DeepSeek V4 Flash (Max)
DeepSeek
deepseek-v4-flash-max
DeepSeek V4 Flash (High)
DeepSeek
deepseek-v4-flash-high
Benchmark score table (6 models)
ScoreThe published CorpusQA 1M snapshot places DeepSeek V4 Pro (Max) first at 62.0%. The third row is 2.7 points behind. The broader top-10 range is 46.5 points, so the table still separates the published systems.
6 models have been evaluated on CorpusQA 1M. The benchmark falls in the Reasoning category. This category carries a 17% weight in BenchLM.ai's overall scoring system. CorpusQA 1M is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About CorpusQA 1M
Year
2026
Tasks
Million-token corpus question answering
Format
Long-context QA accuracy
Difficulty
Million-token long context
CorpusQA 1M is tracked as a display-only provider-table row for long-context DeepSeek-V4 comparisons.
BenchLM freshness & provenance
Version
CorpusQA 1M 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does CorpusQA 1M measure?
A million-token CorpusQA long-context question-answering benchmark reported in DeepSeek-V4 model evaluations.
Which model scores highest on CorpusQA 1M?
DeepSeek V4 Pro (Max) by DeepSeek currently leads with a score of 62.0% on CorpusQA 1M.
How many models are evaluated on CorpusQA 1M?
6 AI models have been evaluated on CorpusQA 1M on BenchLM.
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