FinRiskAtlas - Applied Review - Decision-View Generation: leaderboard

Open-ended FinRiskAtlas review generation: writing a recommended review opinion for the question presented to the reviewer, scored by a fixed semantic rubric for correctness, coverage and evidence use with DeepSeek-V4-Flash as evaluator (FinRiskAtlas, arXiv 2608.25325v1, Appendix Table 10). Percent; higher is better. The evaluator's own self-scored row is excluded, as in the paper's comparisons.

Metric: Rubric Score (%; DeepSeek-V4-Flash judge). Source: arxiv.org. Saturation forecast: Around February 2027. 32 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V3 (0324)71.31#349
2Gemini 2.5 Flash65.27#255
3Gemini 3 Flash (Preview)64.61#90
4Kimi K364.13#35
5GPT-5.462.91#83
6Kimi K2.562.74#152
7GPT-5.6 Sol62.25#22
8Seed 2.0 Lite58.73#161
9GLM-5.258.59#80
10Qwen 3.7 Max57.84#85
11GLM-557.16#149
12Ling-2.6-1T55.69#307
13GPT-5.6 Terra54.72#40
14DeepSeek V4 Pro54.48#112
15Qwen3-Next-80B53.1#321

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

Interactive version: theaggregate.ai/benchmark?slug=finriskatlas-applied-review-decision-view-generation · How It Works · Data refreshed daily, snapshot 2026-11-05.