Today, we're excited to announce the release of Fintool v3-flash. It delivers 23% faster responses on average, utilizes 175% more input tokens for deeper context understanding, and produces 23% more output tokens for more comprehensive answers. These enhancements combine to deliver more detailed, accurate, and insightful analysis. It's live on our Chat platform.
Our team has been focused on pushing the boundaries of what's possible with AI in financial analysis. V3-flash is not just way faster, but also significantly smarter in how it processes financial data and generates insights. The improvements in speed and reasoning capabilities represent a major leap forward for equity research professionals.
In finance, speed can make all the difference. Fintool v3-flash's architecture has been completely redesigned to deliver insights faster than ever, with a 23% improvement in average time to first token compared to v2.5-flash.
For straightforward queries like “What was $META's capital expenditure in 2024?”, Fintool v3-flash delivers responses up to 64% faster than its predecessor.
Fintool v3-flash utilizes 175% more input tokens than v2.5-flash, enabling it to process more context and provide more nuanced financial analysis. This expanded context window allows the model to consider more data points, historical trends, and document sections simultaneously.
Expanding the context window was one of our top priorities. We expanded token capacity by 175% while improving speed which is incredibly challenging from a technical perspective. This breakthrough allows analysts to process entire financial documents at once, making a huge difference when analyzing complex statements or comparing performance across multiple quarters.
With its expanded context window, v3-flash can analyze dozens of quarters of financial data simultaneously across multiple companies, enabling deeper comparative analysis and trend identification. This allows analysts to uncover long-term patterns and cross-company insights that may have been missed with more limited context windows.
Fintool v3-flash doesn't just process more information—it produces more thorough, detailed analyses. Our benchmarks show that v3-flash generates 23% more output tokens than v2.5-flash.
V3-flash is a reasoning model that excels at understanding complex financial relationships and drawing insightful conclusions from multiple data sources. This reasoning capability allows it to provide more nuanced analyses and actionable recommendations for equity research.
Fintool v3-flash represents a significant leap forward in AI reasoning capabilities for financial analysis. Unlike simpler models that follow rigid processes, v3-flash dynamically assesses each query and intelligently selects the most appropriate approach to deliver accurate, relevant insights.
When an analyst asks a question, v3-flash evaluates multiple potential paths:
In this example, v3-flash demonstrates its intelligent decision-making. It recognized that the user needed a clear, organized presentation of the data rather than additional external information. Instead of performing unnecessary searches, it intelligently reformatted the existing data into bullet points, making it instantly more digestible and actionable. This smart decision-making saves analysts valuable time, showing that v3-flash doesn't just process information—it understands the analyst's underlying needs.
Fintool v3-flash has been specifically optimized for equity research tasks. For instance, the model needs to accurately understand which public company the user is referencing. This is crucial when analysts ask about products, subsidiaries, or services without explicitly naming the parent company.
For example, in queries like “What is iPhone revenue?” or “How much did Instagram earn in Q2?”, the model needs to identify that these relate to Apple and Meta respectively. Similarly, it needs to understand company name changes, such as Square being renamed to Block, to provide accurate information. v3-flash is tailored for equity research and has reached 100% accuracy in our benchmark for this specific task.
This significant improvement in company resolution enables analysts to use more natural language when querying about companies, products, or services. They can refer to brands, products, or subsidiaries in the way they naturally think about them, without having to translate their thoughts into exact company names.
The true power of Fintool v3-flash becomes evident when used in real-world equity research scenarios. Let's look at a practical example that demonstrates both its speed and analytical capabilities.
In just 5 seconds, v3-flash delivered a comprehensive analysis that: Retrieved employee counts for Hilton across 5 years, calculated revenue per employee metrics, verified data accuracy across multiple sources, presented the information in a clear, structured format, and provided source citations for all data points.
Fintool v3-flash represents a significant advancement in AI-powered financial analysis tools. Here are the key advantages it brings to equity research professionals:
These improvements combine to create a financial analysis tool that not only processes information faster but also understands it more deeply, transforming how financial professionals approach equity research and analysis. Fintool v3-flash doesn't just answer questions—it elevates the entire analytical process.
Upgrade to Fintool v3-flash and transform your financial analysis capabilities with faster, more comprehensive insights.
Existing customers can upgrade immediately through their dashboard.