reasoning benchmark
Finance Agent v2 Leaderboard
Finance Agent v2 is an agentic financial-analysis benchmark from Vals that evaluates models on real-world finance workflows, measuring their ability to retrieve and reason over financial documents, perform multi-step calculations, and produce accurate analyses.
Updated Aug 17, 2026
Models26
Model coverage26
MetricScore
EvidenceB
Finance Agent v2 Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score57.9% | Percentile100.0% | Participants26 | EvidenceB | Evaluated |
| Rank02 | ModelME | Score57.2% | Percentile96.0% | Participants26 | EvidenceC | Evaluated |
| Rank03 | ModelAN | Score56.3% | Percentile92.0% | Participants26 | EvidenceB | Evaluated |
| Rank04 | ModelAN | Score53.9% | Percentile88.0% | Participants26 | EvidenceB | Evaluated |
| Rank05 | ModelOP | Score51.8% | Percentile84.0% | Participants26 | EvidenceB | Evaluated |
| Rank06 | ModelAN | Score51.5% | Percentile80.0% | Participants26 | EvidenceB | Evaluated |
| Rank07 | ModelAN | Score51.0% | Percentile76.0% | Participants26 | EvidenceB | Evaluated |
| Rank08 | ModelAC | Score48.4% | Percentile72.0% | Participants26 | EvidenceB | Evaluated |
| Rank09 | ModelMI | Score48.3% | Percentile68.0% | Participants26 | EvidenceB | Evaluated |
| Rank10 | ModelOP | Score45.4% | Percentile64.0% | Participants26 | EvidenceB | Evaluated |
| Rank11 | ModelMA | Score44.9% | Percentile60.0% | Participants26 | EvidenceB | Evaluated |
| Rank12 | ModelZA | Score44.8% | Percentile56.0% | Participants26 | EvidenceB | Evaluated |
| Rank13 | ModelGO | Score43.0% | Percentile52.0% | Participants26 | EvidenceB | Evaluated |
| Rank14 | ModelGO | Score42.5% | Percentile48.0% | Participants26 | EvidenceB | Evaluated |
| Rank15 | ModelXI | Score41.5% | Percentile44.0% | Participants26 | EvidenceB | Evaluated |
| Rank16 | ModelAC | Score40.8% | Percentile40.0% | Participants26 | EvidenceB | Evaluated |
| Rank17 | ModelOP | Score38.2% | Percentile36.0% | Participants26 | EvidenceB | Evaluated |
| Rank18 | ModelAC | Score38.2% | Percentile32.0% | Participants26 | EvidenceB | Evaluated |
| Rank19 | ModelXA | Score37.7% | Percentile28.0% | Participants26 | EvidenceB | Evaluated |
| Rank20 | ModelNV | Score37.5% | Percentile24.0% | Participants26 | EvidenceB | Evaluated |
| Rank21 | ModelXI | Score36.7% | Percentile20.0% | Participants26 | EvidenceB | Evaluated |
| Rank22 | ModelMA | Score32.1% | Percentile16.0% | Participants26 | EvidenceB | Evaluated |
| Rank23 | ModelAN | Score31.0% | Percentile12.0% | Participants26 | EvidenceB | Evaluated |
| Rank24 | ModelGO | Score30.0% | Percentile8.0% | Participants26 | EvidenceB | Evaluated |
| Rank25 | ModelXA | Score28.5% | Percentile4.0% | Participants26 | EvidenceB | Evaluated |
| Rank26 | ModelMI | Score27.9% | Percentile0.0% | Participants26 | EvidenceB | Evaluated |
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.
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.
Ranking basisThis finance agent v2 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.
- 01GOGemini 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 #1 of 26 compared models
- 100th percentile on this benchmark
- B evidence result
Considerations
- This result measures Finance Agent v2, not total model capability
- 02MEMuse Spark 1.1Meta
- Score
- 57.2%
- Price
- $1.3 input / $4.3 output per 1M tokens
- Speed
- Up to 6.2 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
- 03ANClaude Fable 5Anthropic
- Score
- 56.3%
- Price
- $10 input / $50 output per 1M tokens
- Speed
- Up to 9.1 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
- 04ANClaude Opus 4.8Anthropic
- Score
- 53.9%
- Price
- $5.0 input / $25 output per 1M tokens
- Speed
- Up to 46 tok/s via Anthropic
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
- 05OPGPT-5.5OpenAI
- Score
- 51.8%
- Price
- $5.0 input / $30 output per 1M tokens
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 57.9%. 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 Finance Agent v2?
What Finance Agent v2 measures and how its scores work.
Finance Agent v2 is an agentic financial-analysis benchmark from Vals that evaluates models on real-world finance workflows, measuring their ability to retrieve and reason over financial documents, perform multi-step calculations, and produce accurate analyses.
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
- Yes
- Evaluation key
- finance-agent-v2|llm-stats-current
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 57.9%.
What does Finance Agent v2 measure?
Finance Agent v2 is an agentic financial-analysis benchmark from Vals that evaluates models on real-world finance workflows, measuring their ability to retrieve and reason over financial documents, perform multi-step calculations, and produce accurate analyses.
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?
Yes. This benchmark can contribute to the current LLMBoard capability score.