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reasoning benchmark

Finance Agent Leaderboard

Finance Agent is a benchmark for evaluating AI models on agentic financial analysis tasks, testing their ability to process financial data, perform calculations, and generate accurate analyses across various financial domains.

Updated Aug 17, 2026

Models8
Model coverage8
MetricScore
EvidenceB

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  • FAQ

Finance Agent Ranking

Higher score ranks better on this benchmark.

8 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelANClaude Opus 4.7AnthropicScore64.4%Percentile100.0%Participants8EvidenceCEvaluatedAug 17, 2026
Rank02ModelANClaude Sonnet 4.6AnthropicScore63.3%Percentile85.7%Participants8EvidenceCEvaluatedAug 17, 2026
Rank03ModelANClaude Opus 4.6AnthropicScore60.7%Percentile71.4%Participants8EvidenceCEvaluatedAug 17, 2026
Rank04ModelOPGPT-5.5OpenAIScore60.0%Percentile57.1%Participants8EvidenceCEvaluatedAug 17, 2026
Rank05ModelGOGemini 3.5 FlashGoogleScore57.9%Percentile42.9%Participants8EvidenceCEvaluatedAug 17, 2026
Rank06ModelOPGPT-5.4OpenAIScore56.0%Percentile28.6%Participants8EvidenceCEvaluatedAug 17, 2026
Rank07ModelANClaude Opus 4.8AnthropicScore53.9%Percentile14.3%Participants8EvidenceCEvaluatedAug 17, 2026
Rank08ModelNVNemotron 3 Ultra (550B A55B)NVIDIAScore53.7%Percentile0.0%Participants8EvidenceCEvaluatedAug 17, 2026

Finance Agent Highlights

The leading models and scores on this benchmark.

Rank #1Claude Opus 4.764.4%Rank #2Claude Sonnet 4.663.3%Rank #3Claude Opus 4.660.7%Rank #4GPT-5.560.0%

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.

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

  1. 01
    AN
    Claude Opus 4.7Anthropic
    Score
    64.4%
    Price
    $5.0 input / $25 output per 1M tokens
    Speed
    Up to 42 tok/s via Anthropic

    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
    63.3%
    Price
    $3.0 input / $15 output per 1M tokens
    Speed
    Up to 15 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
    Claude Opus 4.6Anthropic
    Score
    60.7%
    Price
    $5.0 input / $25 output per 1M tokens
    Speed
    Up to 17 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
    GPT-5.5OpenAI
    Score
    60.0%
    Price
    $5.0 input / $30 output per 1M tokens

    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
    Gemini 3.5 FlashGoogle
    Score
    57.9%
    Price
    $1.5 input / $9.0 output per 1M tokens
    Speed
    Up to 1.2 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 64.4%. 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.

Benchmark rank #1Claude Opus 4.764.4% · $5.0 input / $25 output per 1M tokensBenchmark rank #2Claude Sonnet 4.663.3% · $3.0 input / $15 output per 1M tokensBenchmark rank #3Claude Opus 4.660.7% · $5.0 input / $25 output per 1M tokens

What is Finance Agent?

What Finance Agent measures and how its scores work.

Finance Agent is a benchmark for evaluating AI models on agentic financial analysis tasks, testing their ability to process financial data, perform calculations, and generate accurate analyses across various financial domains.

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
Yes
Evaluation key
finance-agent|llm-stats-current

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 64.4%.

What does Finance Agent measure?

Finance Agent is a benchmark for evaluating AI models on agentic financial analysis tasks, testing their ability to process financial data, perform calculations, and generate accurate analyses across various financial domains.

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?

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