CorpusQA 1M
We show this table for reference; we do not rank on it.
A million-token CorpusQA long-context question-answering benchmark reported in DeepSeek-V4 model evaluations.
Benchmark score on CorpusQA 1M — October 29, 2026
We compile the CorpusQA 1M rows from provider self-reports. DeepSeek V4 Pro 0813 leads the table at 62.0%, followed by DeepSeek V4 Flash 0731 (60.5%) and DeepSeek V4 Flash (High) (59.3%). We do not use these results to rank models overall.
DeepSeek V4 Pro 0813
DeepSeek
DeepSeek V4 Flash 0731
DeepSeek
DeepSeek V4 Flash (High)
DeepSeek
6 modelsReasoningCurrentDisplay onlyUpdated October 29, 2026
Benchmark score table (6 models)
| Rank | Model / configuration | Score | Parameters (B) | Open / closed |
|---|---|---|---|---|
| 1 | DeepSeek V4 Pro 0813DeepSeek | 62.0% | Not reported | Open |
| 2 | DeepSeek V4 Flash 0731DeepSeek | 60.5% | Not reported | Open |
| 3 | DeepSeek V4 Flash (High)DeepSeek | 59.3% | Not reported | Open |
| 4 | DeepSeek V4 Pro (High)DeepSeek | 56.5% | Not reported | Open |
| 5 | DeepSeek V4 ProDeepSeek | 35.6% | Not reported | Open |
| 6 | DeepSeek V4 FlashDeepSeek | 15.5% | Not reported | Open |
Among the reported CorpusQA 1M rows, DeepSeek V4 Pro 0813 is 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. 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.
Freshness and 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.
Questions
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 0813 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 published results on CorpusQA 1M in the BenchLM catalog.
Compare top models on CorpusQA 1M
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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