CorpusQA (1M) - Financial (English): leaderboard
English financial-filing domain of CorpusQA (Lu et al., Tongyi Lab, 2026) at the 1M-token scale (concatenated corpora of about 905K tokens, run only on models that accept million-token input): 83 analytical questions (filters, rankings, counts and computed values) answered over the whole concatenated corpus of English financial filings, with reference answers computed by SQL over fields extracted from every document. Accuracy in percent as judged by DeepSeek-V3 against the reference; higher is better.
Metric: Accuracy (%; 83 questions over English financial filings, 1M-token corpora, DeepSeek-V3 judge). Source: arxiv.org. Saturation forecast: Estimated already saturated. 3 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro | 48.19 | #262 |
| 2 | Gemini 2.5 Flash | 43.37 | #452 |
| 3 | MiniMax M1 80k | 9.64 | #926 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=corpusqa-1m-financial-english · How It Works · Data refreshed daily, snapshot 2026-11-12.