Leaderboard
FinResearchBench
Measures how well deep-research agents write financial research outputs (stock, event, sector, morning brief, post-market recap and similar). An Agent-as-a-Judge first extracts a logic tree of arguments and evidence, then scores the output against it.
FinResearchBench arXiv v3 (2025-10-20)
Final Score (0-100), higher is better. 8 models.
Updated 20 Oct 2025
- Gemini76.6
- OpenAI74.2
- Cashcat Pro70.7
- Minimax*67.7
- Reportify67.2
- Perplexity67.0
- Genspark*64.3
- AutoGLM60.0
FinResearchBench arXiv v3 (2025-10-20)
Final Score (0-100), higher is better. 8 models.
Updated 20 Oct 2025
- 1Gemini76.6
- 2OpenAI74.2
- 3Cashcat Pro70.7
- 4Minimax*67.7
- 5Reportify67.2
- 6Perplexity67.0
- 7Genspark*64.3
- 8AutoGLM60.0
| 1 | Gemini | 76.6 | all 70 questions | Paper Table 1 Reported by the authors, 20 Oct 2025 | |
|---|---|---|---|---|---|
| 2 | OpenAI | OpenAI | 74.2 | all 70 questions | Paper Table 1 Reported by the authors, 20 Oct 2025 |
| 3 | Cashcat Pro | Not stated | 70.7 | all 70 questions | Paper Table 1 Reported by the authors, 20 Oct 2025 |
| 4 | Minimax* | MiniMax | 67.7 | all 70 questions | Paper Table 1 Reported by the authors, 20 Oct 2025 |
| 5 | Reportify | Not stated | 67.2 | all 70 questions | Paper Table 1 Reported by the authors, 20 Oct 2025 |
| 6 | Perplexity | Perplexity | 67.0 | all 70 questions | Paper Table 1 Reported by the authors, 20 Oct 2025 |
| 7 | Genspark* | Not stated | 64.3 | all 70 questions | Paper Table 1 Reported by the authors, 20 Oct 2025 |
| 8 | AutoGLM | Zhipu AI | 60.0 | all 70 questions | Paper Table 1 Reported by the authors, 20 Oct 2025 |
