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reasoning benchmark

Finance Agent Leaderboard

Finance Agent is a benchmark for evaluating AI models on agentic financial analysis tasks across various financial domains.

Updated Sep 5, 2026

Models8
Model coverage8
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

Finance Agent Ranking

Higher score ranks better on this benchmark.

8 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelANClaude Opus 4.7AnthropicScore64.40%Percentile100.00%Participants8EvidenceCEvaluatedSep 8, 2026
Rank02ModelANClaude Sonnet 4.6AnthropicScore63.30%Percentile85.71%Participants8EvidenceCEvaluatedSep 8, 2026
Rank03ModelANClaude Opus 4.6AnthropicScore60.70%Percentile71.43%Participants8EvidenceCEvaluatedSep 8, 2026
Rank04ModelOPGPT-5.5OpenAIScore60.00%Percentile57.14%Participants8EvidenceCEvaluatedSep 8, 2026
Rank05ModelGOGemini 3.5 FlashGoogleScore57.90%Percentile42.86%Participants8EvidenceCEvaluatedSep 8, 2026
Rank06ModelOPGPT-5.4OpenAIScore56.00%Percentile28.57%Participants8EvidenceCEvaluatedSep 8, 2026
Rank07ModelANClaude Opus 4.8AnthropicScore53.90%Percentile14.29%Participants8EvidenceCEvaluatedSep 8, 2026
Rank08ModelNVNemotron 3 Ultra (550B A55B)NVIDIAScore53.70%Percentile0.00%Participants8EvidenceCEvaluatedSep 8, 2026

Finance Agent Highlights

The leading models and scores on this benchmark.

Finance Agent Score Distribution

A closer view of the leading scores on this benchmark.

Finance Agent

The Top AI Models for Finance Agent

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is Finance Agent?

What Finance Agent measures and how its scores work.

Finance Agent is a benchmark that evaluates AI models on agentic financial analysis tasks.

It measures the ability to process financial data, perform calculations, and generate accurate analyses, reported as a Score in ratio units.

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

Family
Finance Agent
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 Finance Agent.

Which model scores highest on Finance Agent?

Claude Opus 4.7 is currently ranked first with 64.40%.

What are the top three models on Finance Agent?

The current leaders are Claude Opus 4.7 (64.40%), Claude Sonnet 4.6 (63.30%), and Claude Opus 4.6 (60.70%).

Which Finance Agent model has the lowest official input price?

Nemotron 3 Ultra (550B A55B) has the lowest matched official input price at $0.50 input / $2.5 output per 1M tokens.

Which models are fastest among Finance Agent results?

The fastest matched records are Gemini 3.5 Flash (210.94 tok/s via Google), GPT-5.5 (134.94 tok/s via OpenAI), and Claude Opus 4.6 (123.15 tok/s via Anthropic).

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.

What does Finance Agent measure?

It measures the ability to process financial data, perform calculations, and generate accurate analyses, reported as a Score in ratio units.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

8 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Claude Opus 4.764.40%
Rank #2Claude Sonnet 4.663.30%
Rank #3Claude Opus 4.660.70%
Rank #4GPT-5.560.00%

Ranking basisThis finance agent AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AN
    Claude Opus 4.7Anthropic
    Score
    64.40%
    Price
    $5.0 input / $25 output per 1M tokens
    Speed
    Up to 42.00 tok/s via Vertex AI

    Strengths

    • Ranks #1 of 8 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Finance Agent, not total model capability
  2. 02
    AN
    Claude Sonnet 4.6Anthropic
    Score
    63.30%
    Price
    $3.0 input / $15 output per 1M tokens
    Speed
    Up to 7.67 tok/s via Anthropic

    Strengths

    • Ranks #2 of 8 compared models
    • 86th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Finance Agent, not total model capability
  3. 03
    AN
    Anthropic
    Score
    60.70%
    Price
    $5.0 input / $25 output per 1M tokens
    Speed
    Up to 123.15 tok/s via Anthropic

    Strengths

    • Ranks #3 of 8 compared models
    • 71th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Finance Agent, not total model capability
  4. 04
    OP
    OpenAI
    Score
    60.00%
    Price
    $5.0 input / $30 output per 1M tokens
    Speed
    Up to 134.94 tok/s via OpenAI

    Strengths

    • Ranks #4 of 8 compared models
    • 57th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Finance Agent, not total model capability
  5. 05
    GO
    Google
    Score
    57.90%
    Price
    $1.5 input / $9.0 output per 1M tokens
    Speed
    Up to 210.94 tok/s via Google

    Strengths

    • Ranks #5 of 8 compared models
    • 43th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Finance Agent, not total model capability

Selection summary

Best AI Models for Finance Agent

Claude Opus 4.7 currently leads Finance Agent with 64.40%. 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.

Claude Opus 4.6
GPT-5.5
Gemini 3.5 Flash
Benchmark rank #1Claude Opus 4.764.40% · $5.0 input / $25 output per 1M tokens
Benchmark rank #2Claude Sonnet 4.663.30% · $3.0 input / $15 output per 1M tokens
Benchmark rank #3Claude Opus 4.660.70% · $5.0 input / $25 output per 1M tokens