Enabling coding and enterprise workflows throughout domains
Gemini 4 Argon’s capabilities throughout coding, reasoning, and multimodality and its skill to maintain lengthy, multi-step duties allow it to excel throughout a spread of enterprise workflows.
Google engineers have been utilizing Argon for his or her day by day duties, from on a regular basis debugging to large-scale codebase migrations and algorithm designs. It units a brand new cutting-edge on DeepSWE v1.1 (77.9%), which measures a mannequin’s efficiency in real-world long-horizon software program engineering duties.
Past coding, Argon is the main mannequin on the Vals Index, which measures financial affect throughout finance, coding, authorized, and tax work, with each sector weighted by its contribution to U.S. GDP. We see equally main efficiency throughout different area particular evaluations, like Vals Finance Agent v2 (multi-step monetary analysis) and Harvey’s Authorized Agent Benchmark (authorized analysis and drafting). On AutomationBench, Zapier’s benchmark measuring end-to-end execution throughout core enterprise capabilities, Argon ranks #1 with a rating of 51.3%.
Argon can also be uniquely robust when information work requires visible understanding. It’s capable of drive skilled chart evaluation, determine particulars from lengthy movies, and take motion based mostly on a sequence of paperwork. For instance, on LVBench, which measures lengthy video understanding, Argon is cutting-edge with a rating of 91.7%.
