Benchmark profile
FinanceArena — FinanceQA Assumption-Based (FinanceArena)
An AfterQuery benchmark of open-ended financial analysis that requires models to read financial data, make assumptions, and return exact answers.
How to read this leaderboard
Operator receipt: 19 sourced rows are currently displayable on this page; the leading published row is o3 at 54.1%.
Honest limit: AfterQuery's page describes three FinanceQA task families, but its embedded leaderboard payload labels this table Assumption-Based without publishing a task count or row-level protocol fields. Read the table as an exact source mirror, not as a normalized finance ranking.
How we show FinanceArena
We mirror AfterQuery's FinanceQA, Assumption-Based table captured on July 18, 2026 snapshot. FinanceArena grades professional financial-analysis answers with exact-match accuracy and publishes 19 model rows in this view.
AfterQuery labels the table “FinanceQA, Assumption-Based,” while the embedded leaderboard payload does not expose a task count or per-row run settings. We preserve that source label and keep the scores display-only instead of merging them with other finance evaluations.
Exact-match accuracy on FinanceQA Assumption-Based — July 18, 2026 snapshot
BenchLM mirrors the published exact-match accuracy view for FinanceQA Assumption-Based. o3 leads the public snapshot at 54.1% , followed by Grok 4 (49.3%) and o4-mini (48.6%). BenchLM does not use these results to rank models overall.
o3
OpenAI
afterquery/finance-arena/o3
Grok 4
xAI
afterquery/finance-arena/grok-4
o4-mini
OpenAI
afterquery/finance-arena/o4-mini
Exact-match accuracy table (19 models)
ScoreThe published FinanceArena snapshot places o3 first at 54.1%. The third row is 5.5 points behind. The broader top-10 range is 11.2 points, so the table still separates the published systems.
19 models have been evaluated on FinanceArena. The benchmark falls in the Knowledge category. This category carries a 12% weight in BenchLM.ai's overall scoring system. FinanceArena is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About FinanceArena
Year
2025
Tasks
Professional financial-analysis questions
Format
Open-ended financial QA with exact-match grading
Difficulty
Professional finance reasoning
The mirrored AfterQuery table is labeled FinanceQA, Assumption-Based and reports exact-match accuracy. We keep it display-only because the embedded leaderboard rows do not expose the task count or per-row run configuration needed to merge them with other finance evaluations.
BenchLM freshness & provenance
Version
FinanceArena 2025
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does FinanceArena measure?
An AfterQuery benchmark of open-ended financial analysis that requires models to read financial data, make assumptions, and return exact answers.
Which model leads the published FinanceArena snapshot?
o3 currently leads the published FinanceArena snapshot with 54.1% exact-match accuracy. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on FinanceArena?
19 AI models are included in BenchLM's mirrored FinanceArena snapshot, based on the public leaderboard captured on July 18, 2026 snapshot.
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