Flame Corporate Finance - Apply: leaderboard

Textbook-grounded five-option multiple-choice problems at the Bloom Apply level (questions that ask the model to apply a method or formula to a new case) from the 685-problem Flame Corporate Finance benchmark (Islam et al., 2026). The paper's Bloom-level weighted accuracy in percent, zero-shot at temperature 0; higher is better.

Metric: Accuracy (%; the paper's Bloom-level weighted accuracy on the Apply problems of the 685-problem textbook-grounded Corporate Finance multiple-choice set, zero-shot, temperature 0). Source: arxiv.org. Saturation forecast: Estimated already saturated. 12 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)97#91
2Claude Opus 4.694#100
3GPT-5.484#121
4Qwen 3 32B68#960
5GPT-4.1 Mini66#775
6Claude Haiku 4.553#568
7Gemini 2.5 Flash Lite49#958
8DeepSeek R1 Distill Qwen 32B42#1780
9DeepSeek R1 Distill Qwen 14B35#2594
10Gemma 3 27B (IT)32#1306
11Qwen 3 8B32#1838
12Gemma 3 12B (IT)23#1849

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=flame-corporate-finance-apply · How It Works · Data refreshed daily, snapshot 2026-11-12.