Best AI for Finance
Which AI performs best on pro-level finance work? Ranked across investment memos and LBO underwriting challenges.
How Finance rankings are computed
Rankings are based on 20 models tested across 2 finance challenges. Each model is scored using a composite algorithm: 70% task coverage (how many challenges the model has responses for) and 30% duel performance (win rate in blind community votes on these specific challenges, with the global RIVAL Index as a fallback when vote counts are low). Gemini 3.1 Pro Preview currently leads with a score of 99.6/100. All ranking data is part of RIVAL's open dataset of 21,000+ human preference votes.
Head-to-Head
Full Rankings
20 models
What is the best AI for finance?
RIVAL ranks AI models for finance using two signals across 2 challenges: 70% is task coverage (did the model actually show up), and 30% is duel performance (how often it wins blind community votes on these challenges, falling back to the global RIVAL Index when duels are sparse). As of the latest refresh, Gemini 3.1 Pro Preview leads with a composite score of 99.6/100.
How are AI models ranked for finance on RIVAL?
Models are scored with a composite algorithm: 70% comes from how many finance challenges the model has responses for (coverage), and 30% comes from duel performance on those challenges (with global RIVAL Index as a fallback when sample sizes are small). Rankings are based on 20 models tested across 2 finance challenges. All duel votes are blind — voters see responses without knowing which model produced them.
Can I compare AI models for finance?
Yes. Each model in the ranking links to its profile page, and you can compare any two models side-by-side on RIVAL's Compare page to see their actual responses to finance challenges.
How often are the finance rankings updated?
Rankings are refreshed every few hours. They incorporate the latest RIVAL Index scores from community duels and any new model responses added to the platform. All ranking data is part of RIVAL's open dataset.