reasoning benchmark
Big Finance Bench Leaderboard
Big Finance Bench evaluates models on complex financial-analysis tasks involving financial documents and multi-step quantitative work.
Updated Sep 5, 2026
Models3
Model coverage3
MetricScore
EvidenceB
Big Finance Bench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score53.00% | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelOP | Score51.00% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score36.00% | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
Big Finance Bench Highlights
The leading models and scores on this benchmark.
Big Finance Bench Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Big Finance Bench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is Big Finance Bench?
What Big Finance Bench measures and how its scores work.
Big Finance Bench is a reasoning benchmark for evaluating models on financial-analysis tasks that require retrieving and reasoning over financial documents.
It measures model performance using the Score metric, reported as a ratio, on tasks involving multi-step quantitative work.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Big Finance Bench
- 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 Big Finance Bench.
Which model scores highest on Big Finance Bench?
GPT-5.6 Sol is currently ranked first with 53.00%.
What are the top three models on Big Finance Bench?
The current leaders are GPT-5.6 Sol (53.00%), GPT-5.6 Terra (51.00%), and GPT-5.6 Luna (36.00%).
Which Big Finance Bench model has the lowest official input price?
GPT-5.6 Luna has the lowest matched official input price at $0.20 input / $1.2 output per 1M tokens.
Which models are fastest among Big Finance Bench results?
The fastest matched records are GPT-5.6 Terra (99.35 tok/s via OpenAI), GPT-5.6 Luna (41.87 tok/s via OpenAI), and GPT-5.6 Sol (2.36 tok/s via OpenAI).
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.