reasoning benchmark
Finance Agent is a benchmark for evaluating AI models on agentic financial analysis tasks, testing their ability to process financial data, perform calculations, and generate accurate analyses across various financial domains.
Updated Aug 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | AN | 64.4% | 100.0% | 8 | C | |
| 2 | AN | 63.3% | 85.7% | 8 | C | |
| 3 | AN | 60.7% | 71.4% | 8 | C | |
| 4 | OP | 60.0% | 57.1% | 8 | C | |
| 5 | GO | 57.9% | 42.9% | 8 | C | |
| 6 | OP | 56.0% | 28.6% | 8 | C | |
| 7 | AN | 53.9% | 14.3% | 8 | C | |
| 8 | NV | 53.7% | 0.0% | 8 | C |
Top published rows on the benchmark's original scale.
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
Finance Agent is a benchmark for evaluating AI models on agentic financial analysis tasks, testing their ability to process financial data, perform calculations, and generate accurate analyses across various financial domains.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
Common questions about Finance Agent.
Claude Opus 4.7 is currently ranked first with 64.4%.
Finance Agent is a benchmark for evaluating AI models on agentic financial analysis tasks, testing their ability to process financial data, perform calculations, and generate accurate analyses across various financial domains.
Yes. Higher values rank better for this benchmark.
8 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.