CorpusQA (128K) - Financial (English): leaderboard

English financial-filing domain of CorpusQA (Lu et al., Tongyi Lab, 2026) at the 128K-token scale (concatenated corpora of about 92K tokens): 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, 128K-token corpora, DeepSeek-V3 judge). Source: arxiv.org. Saturation forecast: Estimated already saturated. 8 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro80.72#262
2GPT-578.31#163
3GPT-5 Mini (2025-08-07)78.31#341
4Gemini 2.5 Flash74.7#452
5Qwen 3 235B A22B 2507 (Thinking)74.7#460
6DeepSeek R1 052873.49#425
7MiniMax M1 80k67.07#926
8Qwen 3 30B A3B 2507 (Thinking)61.45#759

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=corpusqa-128k-financial-english · How It Works · Data refreshed daily, snapshot 2026-11-12.