Gemini 4 Argon from @GoogleDeepMind is built for complex, multi-step work. We ran it against Gemini 3.1 Pro on real enterprise document tasks: pull the source files, reason across them, produce the actual deliverable.
→ Overall accuracy: 85% vs 71% (+14 points)
→ Data 23 points)
→ Life sciences: 88% vs 61% (+27 points)
→ Healthcare: 87% vs 57% (+30 points)
The gains land where the work has to be carried all the way through: reading evidence out of figures, covering the whole batch, and acting on its own findings.
→ Overall accuracy: 85% vs 71% (+14 points)
→ Data 23 points)
→ Life sciences: 88% vs 61% (+27 points)
→ Healthcare: 87% vs 57% (+30 points)
The gains land where the work has to be carried all the way through: reading evidence out of figures, covering the whole batch, and acting on its own findings.
Gemini 4 Argon is now globally available.
Built to solve your hardest problems from start to finish, the model brings frontier capabilities across coding, enterprise workflows, and cyber defense.
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