reasoning benchmark
Finance Agent
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 11, 2026
Models8
Model coverage8
MetricScore
EvidenceB
Finance Agent Ranking
Higher score ranks better on this benchmark.
| 01 | AN | 64.4% | 100.0% | 8 | C | |
| 02 | AN | 63.3% | 85.7% | 8 | C | |
| 03 | AN | 60.7% | 71.4% | 8 | C | |
| 04 | OP | 60.0% | 57.1% | 8 | C | |
| 05 | GO | 57.9% | 42.9% | 8 | C | |
| 06 | OP | 56.0% | 28.6% | 8 | C | |
| 07 | AN | 53.9% | 14.3% | 8 | C | |
| 08 | NV | 53.7% | 0.0% | 8 | C |
Finance Agent Score Distribution
A closer view of the leading scores on this benchmark.
Finance Agent Highlights
The leading models and scores on this benchmark.
What is Finance Agent?
What Finance Agent measures and how its scores work.
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. This benchmark is not independently verified and has an evidence level of B.
- Family
- Finance Agent
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- finance-agent|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Finance Agent.
Which model scores highest on Finance Agent?
Claude Opus 4.7 is currently ranked first with 64.4%.
What does Finance Agent measure?
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.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
8 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.