FinReasoning (Deep Insight) - Factuality and Contextualization: leaderboard

Metric: Rubric score (0-100): a judge score fused from DeepSeek-V3 and Qwen3-235B on three indicators scored 0 to 5 and weighted 40/30/30, comparing the model's open-ended analysis with an expert-verified reference answer (fact density, computational rigor, contextual analysis), on the 300 factuality items of FinReasoning's Deep Insight track (open-ended analysis of events in research-report excerpts); Chinese-language tasks built from A-share research reports, news and market data (2023 to 2025); zero-shot at temperature 0.1; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 19 models tracked.

Top models

#ModelScoreOverall rank
1GLM-4.688.1#246
2Kimi K287.4#236
3Seed 1.887.2#136
4Claude Sonnet 4.587.1#138
5GPT-584.6#91
6DeepSeek R184.6#245
7Intern-S182.1#278
8DeepSeek V381#312
9Gemini 3 Pro79#77
10GPT-4o77.6#333
11Qwen 3 Max76#201
12Qwen 3 235B A22B63.8#304
13Qwen 3 32B61.7#424
14Qwen 3 8B51.1#667
15Llama 3.1 70B36.5#578

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=finreasoning-deep-insight-factuality-and-contextualization · How It Works · Data refreshed daily, snapshot 2026-10-11.