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LLM Stats
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.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- text
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 3
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| DeepSeek-V4-Pro-Max | 0.62 | Not recorded | Not recorded | 2026-04-23 · model_announcement | LLM Stats |
| DeepSeek-V4-Flash-Max | 0.605 | Not recorded | Not recorded | 2026-04-23 · model_announcement | LLM Stats |
| DeepSeek-V4-Flash-0423 | 0.593 | Not recorded | Not recorded | 2026-04-23 · model_announcement | LLM Stats |