FinRiskAtlas - Evidence-Grounded Processing - Case Classification: leaderboard

FinRiskAtlas fixed-evidence review operation: routing a full case record to its procedure category from a fixed candidate set, scored by accuracy (FinRiskAtlas, arXiv 2608.25325v1, Appendix Table 9). Percent; higher is better. Reported for 33 archived model configurations under zero-shot direct-answer inference.

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 33 models tracked.

Top models

#ModelScoreOverall rank
1Kimi K2.588.09#152
2GPT-5.6 Sol87.42#22
3Kimi K387.19#35
4GPT-5.486.29#83
5DeepSeek V4 Pro85.62#112
6GPT-5.4 Mini85.62#228
7GPT-5.6 Terra85.62#40
8Seed 2.0 Lite85.62#161
9Qwen 3.7 Max85.39#85
10Claude Opus 4.785.17#51
11Gemini 3 Flash (Preview)84.94#90
12GLM-5.284.94#80
13Qwen3-Next-80B84.94#321
14GLM-584.72#149
15GPT-5.6 Luna84.04#79

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=finriskatlas-evidence-grounded-processing-case-classification · How It Works · Data refreshed daily, snapshot 2026-11-05.