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knowledge benchmark

Vals Finance Agent v2 Leaderboard

Vals Finance Agent v2 evaluates AI agents on realistic financial analyst tasks.

Updated Sep 5, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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  • Ranking
  • Highlights
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  • About
  • FAQ

Vals Finance Agent v2 Ranking

Higher score ranks better on this benchmark.

1 row
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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelGOGemini 3.8 FlashGoogleScore61.40%Percentile100.00%Participants1EvidenceCEvaluatedSep 8, 2026

Vals Finance Agent v2 Highlights

The leading models and scores on this benchmark.

Rank #1Gemini 3.8 Flash61.40%

The Top AI Models for Vals Finance Agent v2

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

Ranking basisThis vals 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
    Google
    Score
    61.40%
    Price
    $0.75 input / $3.8 output per 1M tokens
    Speed
    Up to 51.56 tok/s via Google

    Strengths

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

    Considerations

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

Selection summary

Best AI Models for Vals Finance Agent v2

Gemini 3.8 Flash currently leads Vals Finance Agent v2 with 61.40%. 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.

What is Vals Finance Agent v2?

What Vals Finance Agent v2 measures and how its scores work.

Vals Finance Agent v2 is a knowledge benchmark for AI agents.

It measures performance on realistic financial analyst tasks 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
Vals Finance Agent v2
Modality
text
Primary category
knowledge
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 Vals Finance Agent v2.

Which model scores highest on Vals Finance Agent v2?

Gemini 3.8 Flash is currently ranked first with 61.40%.

What are the top three models on Vals Finance Agent v2?

The current leaders are Gemini 3.8 Flash (61.40%).

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

Gemini 3.8 Flash has the lowest matched official input price at $0.75 input / $3.8 output per 1M tokens.

Which models are fastest among Vals Finance Agent v2 results?

The fastest matched records are Gemini 3.8 Flash (51.56 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 Vals Finance Agent v2 measure?

It measures performance on realistic financial analyst tasks 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?

1 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.

Gemini 3.8 Flash
Benchmark rank #1Gemini 3.8 Flash61.40% · $0.75 input / $3.8 output per 1M tokens