AlphaSense vs S&P Capital IQ Pro Pricing 2026
Complete pricing comparison between AlphaSense and S&P Capital IQ Pro. Find out which financial data tool is right for you.
AlphaSense pricing ranges from $10000–$100000/user/year, while S&P Capital IQ Pro ranges from $12000–$30000/user/year. Both products are similarly priced at comparable tiers.
Comparing AlphaSense and S&P Capital IQ Pro for Financial Data solutions in 2026. AlphaSense starts at $10000, making it more budget-friendly than S&P Capital IQ Pro at $12000. This comparison covers pricing tiers, features, and value for different business sizes.
Pricing Tier Comparison
| Tier | AlphaSense | S&P Capital IQ Pro |
|---|---|---|
| AI Search & Core Platform | Custom | $1K /user/year |
| Market Intelligence | Custom | $1.7K /user/year |
| Wall Street Insights | Custom | $2.1K /user/year |
| Expert Transcript Library (Tegus) | Custom | Custom |
| Enterprise Intelligence | Custom | — |
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Our Verdict
Choose AlphaSense if you want a more affordable entry point starting at $10000 with more pricing flexibility (5 tiers). Choose S&P Capital IQ Pro if their platform better fits your specific requirements.
Frequently Asked Questions
01 Which is cheaper: AlphaSense or S&P Capital IQ Pro?
AlphaSense is generally more affordable, starting at $10000 compared to S&P Capital IQ Pro at $12000. However, pricing varies based on features and team size, so compare plans at your specific usage level.
02 How does AlphaSense pricing compare to S&P Capital IQ Pro?
AlphaSense offers 5 pricing tiers starting with AI Search & Core Platform, while S&P Capital IQ Pro has 4 tiers beginning with Capital IQ Pro Essentials. AlphaSense's median price is around $20000 while S&P Capital IQ Pro's is $20000.
03 Which is better for small businesses: AlphaSense or S&P Capital IQ Pro?
Both platforms are primarily designed for mid-market to enterprise customers. Small businesses may find the pricing ($10000+ and $12000+ respectively) challenging. Consider if lower-cost alternatives in the Financial Data category might be more suitable.