Market · AI in practice
Gemini 4 Carbon arrives with a focus on financial research
Google DeepMind released Gemini 4 Carbon for long, complex work, the kind with several steps and a long verification loop. The finance results, which the company describes as pre-release evaluations, show Carbon matching the best model tested on Hebbia's financial agent benchmark and ranking first out of 23 setups on Balyasny Asset Management's financial intelligence benchmark. The introductory API price is $2 per million input tokens and $10 per million output, the same as Argon, before it moves to $4 and $20.
What the sources report
Google DeepMind released Gemini 4 Carbon for long, complex work, the kind with several steps and a long verification loop. According to the company, Argon remains the choice for most software engineering and knowledge work, and Carbon comes in when the task tests the limits of the model.
The finance results are what stayed with me, and they come from pre-release evaluations. Carbon matched the best model tested on Hebbia's E2E Financial Agentic evaluation, and it ranked first out of 23 frontier model setups on Balyasny Asset Management's General Financial Intelligence benchmark, which covers legal expertise, tool use, coding and data engineering, and perception and context. The introductory API price is $2 per million input tokens and $10 per million output, the same as Argon, before it moves to $4 and $20. The model is available through the API, Google AI Studio and Gemini for business, for paying developers and enterprises.
My take
In finance, agents earn their keep on dense filings and long research. The introductory price makes this one easier to put to that test.