Google's Gemini 4 Argon claims the lead on a finance research test
Google released Gemini 4 Argon, a frontier model built for long, complex professional workflows, with a one million token output limit, up from 64,000. Google says the model leads on the Vals Finance Agent v2 benchmark for multi-step financial research, among other domain tests. Introductory API pricing is $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 after a promotional period.
$2 / $10introductory price per million input / output tokens
NoteLabs are now competing on benchmarks built around real analyst work, not just chat quality, which signals where banks and asset managers piloting AI research agents will look next.