FIRE (Finance, Qualification Exams): leaderboard
Metric: Accuracy (%) over all exams, weighted by question count, on 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
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Seed-1.6 | 91.78 | #257 |
| 2 | Gemini 3 Pro | 91.43 | #77 |
| 3 | Seed-OSS-36B-Instruct | 87.55 | #348 |
| 4 | Qwen 3 235B A22B 2507 (Thinking) | 87.31 | #253 (Qwen 3 235B A22B 2507) |
| 5 | DeepSeek V3.2 | 86.1 | #198 |
| 6 | Kimi K2 (Thinking) | 85.95 | #236 (Kimi K2) |
| 7 | Qwen 3 Max | 85.88 | #201 |
| 8 | GPT-5.2 | 83 | #105 |
| 9 | GLM-4.6 | 81.7 | #246 |
| 10 | Claude Sonnet 4.5 | 79.01 | #138 |
| 11 | GPT-OSS-120B | 68.94 | #330 |
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 · How It Works · Data refreshed daily, snapshot 2026-10-11.