Exa Developers
@ExaDevelopers
Jul 23
Vals AI independently tested 8 model/search combinations across real finance and legal research tasks.

The highest-scoring setup used Exa.
Vals AI
@ValsAI
Jul 23
We are excited to launch Web Search Index!

Web Search Index compares native provider search against independent web-search tools on real world tasks.
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Exa Developers
@ExaDevelopers
Jul 23
Replying to @ExaDevelopers
Claude Fable 5 + Exa scored 48.5% overall, ahead of the same model using native search at 46.9%.

The only variable Vals changed was the search layer.
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Exa Developers
@ExaDevelopers
Jul 23
Replying to @ExaDevelopers
The difference was clearest in finance. After controlling for task difficulty, agents using Exa scored 6.51 points higher than agents using native search.

Jul 23, 2026 · 6:13 PM UTC

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Exa Developers
@ExaDevelopers
Jul 23
Replying to @ExaDevelopers
The biggest gains came from tasks where finding the right underlying information matters most: Market Analysis: 54% vs. 36% Earnings Analysis: 73% vs. 59% Adjustments: 44% vs. 36%
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Exa Developers
@ExaDevelopers
Jul 23
Replying to @ExaDevelopers
This is why search is not just another tool call. As models get better, the quality of the context they can retrieve increasingly determines the quality of the work they produce.

Read the full Web Search Index from Vals AI: vals.ai/benchmarks/web…
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