reasoning benchmark
Finance Agent v1.1 Leaderboard
Finance Agent v1.1 is an agentic financial-analysis benchmark for evaluating models on real-world finance workflows.
Updated Sep 5, 2026
Models2
Model coverage2
MetricScore
EvidenceB
Finance Agent v1.1 Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score60.70% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score56.00% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
Finance Agent v1.1 Highlights
The leading models and scores on this benchmark.
Finance Agent v1.1 Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Finance Agent v1.1
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is Finance Agent v1.1?
What Finance Agent v1.1 measures and how its scores work.
Finance Agent v1.1 is a benchmark that evaluates models on financial-analysis workflows, including retrieving and reasoning over financial documents and performing multi-step calculations.
It measures Score, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Finance Agent v1.1
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Finance Agent v1.1.
Which model scores highest on Finance Agent v1.1?
Seed 2.1 Pro is currently ranked first with 60.70%.
What are the top three models on Finance Agent v1.1?
The current leaders are Seed 2.1 Pro (60.70%) and Seed 2.1 Turbo (56.00%).
Which Finance Agent v1.1 model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among Finance Agent v1.1 results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.