FIRE (Finance, Qualification Exams) - Risk Manager (FRM): leaderboard

Metric: Accuracy (%) on the Risk Manager (FRM) questions of FIRE's financial-qualification set (about 14,000 multiple-choice questions from 14 professional certification exams); exact option match; each model with its recommended inference settings, else temperature 0.6 and top-p 0.8; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 14 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro92.29#77
2GPT-5.291.65#105
3Kimi K2 (Thinking)91.43#236 (Kimi K2)
4Qwen 3 235B A22B 2507 (Thinking)90.79#253 (Qwen 3 235B A22B 2507)
5Seed-1.690.57#257
6GLM-4.688.87#246
7DeepSeek V3.288.22#198
8GPT-OSS-120B85.86#330
9Seed-OSS-36B-Instruct83.51#348
10Qwen 3 Max82.8#201
11Claude Sonnet 4.582.01#138

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

Interactive version: theaggregate.ai/benchmark?slug=fire-finance-qualification-exams-risk-manager-frm · How It Works · Data refreshed daily, snapshot 2026-10-11.