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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 Oct 23, 2026

Models29
Model coverage29
MetricScore
EvidenceB

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Finance Agent v2 Ranking

Higher score ranks better on this benchmark.

29 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelINLing 3.0 Flash FinInclusionaiScore59.81%Percentile100.00%Participants29EvidenceCEvaluatedOct 22, 2026
Rank02ModelINLing 3.1 FlashInclusionaiScore57.87%Percentile96.43%Participants29EvidenceCEvaluatedOct 12, 2026
Rank03ModelGOGemini 3.5 FlashGoogleScore57.86%Percentile92.86%Participants29EvidenceBEvaluatedOct 22, 2026
Rank04ModelMEMuse Spark 1.1MetaScore57.20%Percentile89.29%Participants29EvidenceCEvaluatedOct 22, 2026
Rank05ModelANClaude Fable 5AnthropicScore56.31%Percentile85.71%Participants29EvidenceBEvaluatedOct 22, 2026
Rank06ModelMAMistral Large 4Mistral AIScore54.70%Percentile82.14%Participants29EvidenceCEvaluatedOct 22, 2026
Rank07ModelANClaude Opus 4.8AnthropicScore53.92%Percentile78.57%Participants29EvidenceBEvaluatedOct 22, 2026
Rank08ModelOPGPT-5.5OpenAIScore51.76%Percentile75.00%Participants29EvidenceBEvaluatedOct 22, 2026
Rank09ModelANClaude Opus 4.7AnthropicScore51.51%Percentile71.43%Participants29EvidenceBEvaluatedOct 22, 2026
Rank10ModelANClaude Sonnet 4.6AnthropicScore51.03%Percentile67.86%Participants29EvidenceBEvaluatedOct 22, 2026
Rank11ModelACQwen3.7 MaxAlibaba Cloud / Qwen TeamScore48.35%Percentile64.29%Participants29EvidenceBEvaluatedOct 22, 2026
Rank12ModelMIMiniMax M3MiniMaxScore48.27%Percentile60.71%Participants29EvidenceBEvaluatedOct 22, 2026
Rank13ModelOPGPT-5.4 miniOpenAIScore45.36%Percentile57.14%Participants29EvidenceBEvaluatedOct 22, 2026
Rank14ModelMAKimi K2.6Moonshot AIScore44.87%Percentile53.57%Participants29EvidenceBEvaluatedOct 22, 2026
Rank15ModelZAGLM-5.1Zhipu AIScore44.79%Percentile50.00%Participants29EvidenceBEvaluatedOct 22, 2026
Rank16ModelGOGemini 3.1 ProGoogleScore42.98%Percentile46.43%Participants29EvidenceBEvaluatedOct 22, 2026
Rank17ModelGOGemini 3 FlashGoogleScore42.55%Percentile42.86%Participants29EvidenceBEvaluatedOct 22, 2026
Rank18ModelXIMiMo-V2.5-ProXiaomiScore41.50%Percentile39.29%Participants29EvidenceBEvaluatedOct 22, 2026
Rank19ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore40.85%Percentile35.71%Participants29EvidenceBEvaluatedOct 22, 2026
Rank20ModelOPGPT-5.4 nanoOpenAIScore38.22%Percentile32.14%Participants29EvidenceBEvaluatedOct 22, 2026
Rank21ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore38.22%Percentile28.57%Participants29EvidenceBEvaluatedOct 22, 2026
Rank22ModelXAGrok 4.3xAIScore37.71%Percentile25.00%Participants29EvidenceBEvaluatedOct 22, 2026
Rank23ModelNVNemotron 3 Ultra (550B A55B)NVIDIAScore37.53%Percentile21.43%Participants29EvidenceBEvaluatedOct 22, 2026
Rank24ModelXIMiMo-V2.5XiaomiScore36.73%Percentile17.86%Participants29EvidenceBEvaluatedOct 22, 2026
Rank25ModelMAMistral Medium 3.5Mistral AIScore32.10%Percentile14.29%Participants29EvidenceBEvaluatedOct 22, 2026
Rank26ModelANClaude Haiku 4.5AnthropicScore31.01%Percentile10.71%Participants29EvidenceBEvaluatedOct 22, 2026
Rank27ModelGOGemini 3.1 Flash-LiteGoogleScore29.99%Percentile7.14%Participants29EvidenceBEvaluatedOct 22, 2026
Rank28ModelXAGrok-4.20 Beta ReasoningxAIScore28.49%Percentile3.57%Participants29EvidenceBEvaluatedOct 22, 2026
Rank29ModelMIMiniMax M2.7MiniMaxScore27.89%Percentile0.00%Participants29EvidenceBEvaluatedOct 22, 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?

Ling 3.0 Flash Fin is currently ranked first with 59.81%.

What are the top three models on Finance Agent v2?

The current leaders are Ling 3.0 Flash Fin (59.81%), Ling 3.1 Flash (57.87%), and Gemini 3.5 Flash (57.86%).

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 Claude Haiku 4.5 (100.00 tok/s via Vertex AI), Gemini 3.1 Pro (90.00 tok/s via Google), and Muse Spark 1.1 (73.08 tok/s via Meta Model API).

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?

29 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 #1Ling 3.0 Flash Fin59.81%
Rank #2Ling 3.1 Flash57.87%
Rank #3Gemini 3.5 Flash57.86%
Rank #4Muse Spark 1.157.20%

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
    IN
    Ling 3.0 Flash FinInclusionai
    Score
    59.81%

    Strengths

    • Ranks #1 of 29 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Finance Agent v2, not total model capability
  2. 02
    IN
    Ling 3.1 FlashInclusionai
    Score
    57.87%

    Strengths

    • Ranks #2 of 29 compared models
    • 96th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Finance Agent v2, not total model capability
  3. 03
    GO
    Google
    Score
    57.86%
    Price
    $1.5 input / $9.0 output per 1M tokens

    Strengths

    • Ranks #3 of 29 compared models
    • 93th percentile on this benchmark
    • B evidence result

    Considerations

    • This result measures Finance Agent v2, not total model capability
  4. 04
    ME
    Meta
    Score
    57.20%
    Price
    $1.3 input / $4.3 output per 1M tokens
    Speed
    Up to 73.08 tok/s via Meta Model API

    Strengths

    • Ranks #4 of 29 compared models
    • 89th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Finance Agent v2, not total model capability
  5. 05
    AN
    Anthropic
    Score
    56.31%
    Price
    $10 input / $50 output per 1M tokens

    Strengths

    • Ranks #5 of 29 compared models
    • 86th 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

Ling 3.0 Flash Fin currently leads Finance Agent v2 with 59.81%. 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.

Gemini 3.5 Flash
Muse Spark 1.1
Claude Fable 5
Benchmark rank #1Ling 3.0 Flash Fin59.81%
Benchmark rank #2Ling 3.1 Flash57.87%
Benchmark rank #3Gemini 3.5 Flash57.86% · $1.5 input / $9.0 output per 1M tokens