Finance Agent v2

Implementation

Progress Over Time

Interactive timeline showing model performance evolution on Finance Agent v2

State-of-the-art frontier
Open
Proprietary

Finance Agent v2 Leaderboard

25 models
ContextCostLicense
11.0M$1.50 / $9.00
21.0M$10.00 / $50.00
31.0M$5.00 / $25.00
4
OpenAI
OpenAI
1.1M$5.00 / $30.00
51.0M$5.00 / $25.00
6200K$3.00 / $15.00
7
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
1.0M$1.25 / $3.75
8
MiniMax
MiniMax
1.0M$0.30 / $1.20
9400K$0.75 / $4.50
10
Moonshot AI
Moonshot AI
1.0T262K$0.75 / $3.50
11
Zhipu AI
Zhipu AI
754B200K$1.40 / $4.40
121.0M$2.50 / $15.00
131.0M$0.50 / $3.00
141.0T1.0M$0.43 / $0.87
15
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
1.0M$0.50 / $3.00
16400K$0.20 / $1.25
16
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
1.0M$0.32 / $1.28
181.0M$1.25 / $2.50
19550B
20
Xiaomi
Xiaomi
311B1.0M$0.17 / $0.34
21128B256K$1.50 / $7.50
22200K$1.00 / $5.00
231.0M$0.25 / $1.50
24
25205K$0.30 / $1.20
Notice missing or incorrect data?
About this benchmark

What is Finance Agent v2?

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.

Finance Agent v2 is a text benchmark evaluating models on reasoning, finance, and agents tasks. LLM Stats tracks 25 models on this benchmark, scored on a 0–1 scale. The current average is 0.4, with the leader at 0.6.

Compare leaders on the best AI for reasoning, best AI for finance and best AI for agents leaderboards.

Current leaders

Gemini 3.5 Flash from Google currently leads the Finance Agent v2 leaderboard with a score of 0.579 across 25 evaluated AI models.

1Gemini 3.5 FlashGoogle57.9%
2Claude Fable 5Anthropic56.3%
3Claude Opus 4.8Anthropic53.9%
OSSMiniMax M3#8 open-weight48.3%

FAQ

Common questions about the Finance Agent v2 benchmark and leaderboard.

What is the Finance Agent v2 benchmark?

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.

What is the Finance Agent v2 leaderboard?

The Finance Agent v2 leaderboard ranks 25 AI models based on their performance on this benchmark. Currently, Gemini 3.5 Flash by Google leads with a score of 0.579. The average score across all models is 0.424.

What is the highest Finance Agent v2 score?

The highest Finance Agent v2 score is 0.579, achieved by Gemini 3.5 Flash from Google.

How many models are evaluated on Finance Agent v2?

25 models have been evaluated on the Finance Agent v2 benchmark, with 0 verified results and 0 self-reported results.

Where can I find the Finance Agent v2 dataset?

The Finance Agent v2 dataset is available at https://github.com/vals-ai/finance-agent.

What categories does Finance Agent v2 cover?

Finance Agent v2 is categorized under reasoning, finance, and agents. The benchmark evaluates text models.

What is the best open-source model on Finance Agent v2?

MiniMax M3 by MiniMax is the top-ranked open-source model on Finance Agent v2, with a score of 0.483 (rank #8).

Which model offers the best value on Finance Agent v2?

Among models scoring within 10% of the leader, Gemini 3.5 Flash from Google is the cheapest, at $1.50 per million input tokens with a score of 0.579.

How recent are the Finance Agent v2 leaderboard results?

The Finance Agent v2 leaderboard was last updated in July 2026 and currently includes 25 evaluated models.