FinRiskAtlas - Domain Knowledge - Trade: leaderboard

Macro-averaged accuracy on the Trade group of FinRiskAtlas domain-knowledge task families, a subset of the 42-family knowledge layer used for coarse screening of financial-review models (FinRiskAtlas, arXiv 2608.25325v1, Appendix Table 8). Percent; higher is better; zero-shot direct answers from 33 archived configurations.

Metric: Macro-Averaged Accuracy (%). Source: arxiv.org. Saturation forecast: Around February 2027. 33 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash (Preview)83.8#90
2Kimi K383.05#35
3GPT-5.6 Sol83#22
4Qwen 3.7 Max82.49#85
5Claude Opus 4.782.15#51
6Kimi K2.581.95#152
7GPT-5.6 Terra81.58#40
8GPT-5.481.17#83
9Seed 2.0 Lite80.36#161
10GPT-5.4 Mini79.48#228
11GLM-5.279.18#80
12Qwen 3 235B A22B79.02#323
13Qwen3-Next-80B78.97#321
14Ling-2.6-1T78.96#307
15GLM-578.14#149

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

Interactive version: theaggregate.ai/benchmark?slug=finriskatlas-domain-knowledge-trade · How It Works · Data refreshed daily, snapshot 2026-11-05.