math benchmark
FinQA is a dataset for numerical reasoning over financial data, featuring question-answering pairs written by financial experts and annotated gold reasoning programs.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAM | Score77.20% | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelAM | Score73.60% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelAM | Score65.20% | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What FinQA measures and how its scores work.
FinQA is a dataset of financial question-answering pairs involving numerical reasoning and heterogeneous representations.
It measures numerical reasoning over financial data using the Score metric, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about FinQA.
Nova Pro is currently ranked first with 77.20%.
The current leaders are Nova Pro (77.20%), Nova Lite (73.60%), and Nova Micro (65.20%).
Nova Micro has the lowest matched official input price at $0.04 input / $0.14 output per 1M tokens.
No matched runtime record is currently available.
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures numerical reasoning over financial data using the Score metric, reported as a ratio.
Yes. Higher values rank better for this benchmark.
3 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis finqa AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Nova Pro currently leads FinQA with 77.20%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.