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math benchmark

FinQA

A large-scale dataset for numerical reasoning over financial data with question-answering pairs written by financial experts, featuring complex numerical reasoning and understanding of heterogeneous representations with annotated gold reasoning programs for full explainability

Updated Aug 11, 2026

Models3
Model coverage3
MetricScore
EvidenceB

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FinQA Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

Show columns

01AMNova ProAmazon77.2%100.0%3CAug 11, 2026
02AMNova LiteAmazon73.6%50.0%3CAug 11, 2026
03AMNova MicroAmazon65.2%0.0%3CAug 11, 2026

FinQA Score Distribution

A closer view of the leading scores on this benchmark.

FinQA

FinQA Highlights

The leading models and scores on this benchmark.

Rank #1Nova Pro77.2%Rank #2Nova Lite73.6%Rank #3Nova Micro65.2%

What is FinQA?

What FinQA measures and how its scores work.

A large-scale dataset for numerical reasoning over financial data with question-answering pairs written by financial experts, featuring complex numerical reasoning and understanding of heterogeneous representations with annotated gold reasoning programs for full explainability

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
FinQA
Modality
text
Primary category
math
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
finqa|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about FinQA.

Which model scores highest on FinQA?

Nova Pro is currently ranked first with 77.2%.

What does FinQA measure?

A large-scale dataset for numerical reasoning over financial data with question-answering pairs written by financial experts, featuring complex numerical reasoning and understanding of heterogeneous representations with annotated gold reasoning programs for full explainability

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.