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reasoning benchmark

Finance Agent v2 Leaderboard

Finance Agent v2 is an agentic financial-analysis benchmark from Vals that evaluates models on financial workflows.

Updated Sep 5, 2026

Models26
Model coverage26
MetricScore
EvidenceB

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Finance Agent v2 Ranking

Higher score ranks better on this benchmark.

26 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelGOGemini 3.5 FlashGoogleScore57.86%Percentile100.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank02ModelMEMuse Spark 1.1MetaScore57.20%Percentile96.00%Participants26EvidenceCEvaluatedSep 8, 2026
Rank03ModelANClaude Fable 5AnthropicScore56.31%Percentile92.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank04ModelANClaude Opus 4.8AnthropicScore53.92%Percentile88.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank05ModelOPGPT-5.5OpenAIScore51.76%Percentile84.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank06ModelANClaude Opus 4.7AnthropicScore51.51%Percentile80.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank07ModelANClaude Sonnet 4.6AnthropicScore51.03%Percentile76.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank08ModelACQwen3.7 MaxAlibaba Cloud / Qwen TeamScore48.35%Percentile72.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank09ModelMIMiniMax M3MiniMaxScore48.27%Percentile68.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank10ModelOPGPT-5.4 miniOpenAIScore45.36%Percentile64.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank11ModelMAKimi K2.6Moonshot AIScore44.87%Percentile60.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank12ModelZAGLM-5.1Zhipu AIScore44.79%Percentile56.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank13ModelGOGemini 3.1 ProGoogleScore42.98%Percentile52.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank14ModelGOGemini 3 FlashGoogleScore42.55%Percentile48.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank15ModelXIMiMo-V2.5-ProXiaomiScore41.50%Percentile44.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank16ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore40.85%Percentile40.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank17ModelOPGPT-5.4 nanoOpenAIScore38.22%Percentile36.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank18ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore38.22%Percentile32.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank19ModelXAGrok 4.3xAIScore37.71%Percentile28.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank20ModelNVNemotron 3 Ultra (550B A55B)NVIDIAScore37.53%Percentile24.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank21ModelXIMiMo-V2.5XiaomiScore36.73%Percentile20.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank22ModelMAMistral Medium 3.5Mistral AIScore32.10%Percentile16.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank23ModelANClaude Haiku 4.5AnthropicScore31.01%Percentile12.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank24ModelGOGemini 3.1 Flash-LiteGoogleScore29.99%Percentile8.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank25ModelXAGrok-4.20 Beta ReasoningxAIScore28.49%Percentile4.00%Participants26EvidenceBEvaluatedSep 8, 2026
Rank26ModelMIMiniMax M2.7MiniMaxScore27.89%Percentile0.00%Participants26EvidenceBEvaluatedSep 8, 2026

Finance Agent v2 Highlights

The leading models and scores on this benchmark.

Finance Agent v2 Score Distribution

A closer view of the leading scores on this benchmark.

Finance Agent v2

The Top AI Models for Finance Agent v2

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 v2?

What Finance Agent v2 measures and how its scores work.

Finance Agent v2 is a benchmark for evaluating models on financial-analysis workflows.

It measures the ability to retrieve and reason over financial documents, perform multi-step calculations, and produce accurate analyses, using the Score metric expressed as a ratio.

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

Family
Finance Agent v2
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 v2.

Which model scores highest on Finance Agent v2?

Gemini 3.5 Flash is currently ranked first with 57.86%.

What are the top three models on Finance Agent v2?

The current leaders are Gemini 3.5 Flash (57.86%), Muse Spark 1.1 (57.20%), and Claude Fable 5 (56.31%).

Which Finance Agent v2 model has the lowest official input price?

MiMo-V2.5 has the lowest matched official input price at $0.14 input / $0.28 output per 1M tokens.

Which models are fastest among Finance Agent v2 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 Gemini 3 Flash (124.32 tok/s via Google).

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 v2 measure?

It measures the ability to retrieve and reason over financial documents, perform multi-step calculations, and produce accurate analyses, using the Score metric expressed as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

26 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 #1Gemini 3.5 Flash57.86%
Rank #2Muse Spark 1.157.20%
Rank #3Claude Fable 556.31%
Rank #4Claude Opus 4.853.92%

Ranking basisThis finance agent v2 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
    GO
    Gemini 3.5 FlashGoogle
    Score
    57.86%
    Price
    $1.5 input / $9.0 output per 1M tokens
    Speed
    Up to 210.94 tok/s via Google

    Strengths

    • Ranks #1 of 26 compared models
    • 100th percentile on this benchmark
    • B evidence result

    Considerations

    • This result measures Finance Agent v2, not total model capability
  2. 02
    ME
    Muse Spark 1.1Meta
    Score
    57.20%
    Price
    $1.3 input / $4.3 output per 1M tokens
    Speed
    Up to 14.00 tok/s via Meta Model API

    Strengths

    • Ranks #2 of 26 compared models
    • 96th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Finance Agent v2, not total model capability
  3. 03
    AN
    Anthropic
    Score
    56.31%
    Price
    $10 input / $50 output per 1M tokens
    Speed
    Up to 43.18 tok/s via Anthropic

    Strengths

    • Ranks #3 of 26 compared models
    • 92th percentile on this benchmark
    • B evidence result

    Considerations

    • This result measures Finance Agent v2, not total model capability
  4. 04
    AN
    Anthropic
    Score
    53.92%
    Price
    $5.0 input / $25 output per 1M tokens
    Speed
    Up to 42.00 tok/s via Vertex AI

    Strengths

    • Ranks #4 of 26 compared models
    • 88th percentile on this benchmark
    • B evidence result

    Considerations

    • This result measures Finance Agent v2, not total model capability
  5. 05
    OP
    OpenAI
    Score
    51.76%
    Price
    $5.0 input / $30 output per 1M tokens
    Speed
    Up to 134.94 tok/s via OpenAI

    Strengths

    • Ranks #5 of 26 compared models
    • 84th percentile on this benchmark
    • B evidence result

    Considerations

    • This result measures Finance Agent v2, not total model capability

Selection summary

Best AI Models for Finance Agent v2

Gemini 3.5 Flash currently leads Finance Agent v2 with 57.86%. 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 Fable 5
Claude Opus 4.8
GPT-5.5
Benchmark rank #1Gemini 3.5 Flash57.86% · $1.5 input / $9.0 output per 1M tokens
Benchmark rank #2Muse Spark 1.157.20% · $1.3 input / $4.3 output per 1M tokens
Benchmark rank #3Claude Fable 556.31% · $10 input / $50 output per 1M tokens