FinReasoning (Deep Insight) - Architectural Richness and Strictness: 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 (framework completeness, logical hierarchy, expression granularity), on the 300 architecture 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
1Seed 1.893.5#136
2Kimi K293.4#236
3GLM-4.692.6#246
4GPT-592.4#91
5Claude Sonnet 4.592.2#138
6DeepSeek R188#245
7Qwen 3 Max85.8#201
8Intern-S184.4#278
9Gemini 3 Pro82.1#77
10DeepSeek V382#312
11GPT-4o80#333
12Qwen 3 235B A22B75.4#304
13Qwen 3 32B73.6#424
14Qwen 3 8B69.3#667
15Llama 3.1 70B42.6#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-architectural-richness-and-strictness · How It Works · Data refreshed daily, snapshot 2026-10-11.