Gemini 4 Argon 全球发布，成为谷歌最强前沿模型

Google is rolling out Gemini 4 Argon globally, making its new flagship AI model available to developers, businesses, and consumers starting today. Gemini 4 Argon is accessible through the API in AI Studio and the Gemini platform , according to Google. Google AI Ultra subscribers can use the model in Google Antigravity , while AI Ultra and Pro subscribers get access through the Gemini app and Google Search's AI mode . Not everyone benefits equally, though. Free Gemini users and paying Plus subscribers now only have access to the weaker Flash models under a new model tier structure . Argon replaces the Gemini Pro class as Google's new frontier series. Google says more Gemini 4 models will follow, which likely means updated Flash variants that would eventually trickle down to free and Plus users as well. Internally, Google is reportedly already testing a potential successor codenamed " Carbon ," which is supposed to outperform Argon at coding in particular. Ad Pricing and benchmark results remain as previously reported : $2 per million input tokens and $10 per million output tokens at the introductory rate, with a 95 percent discount on cached inputs. Argon holds the top spot on the Vals Index, but it still trails Anthropic's Claude Opus 5.5 in independent overall rankings. And because Google waited roughly two weeks to ship, it now also sits behind Meta's Muse Wonder Full , which launched just yesterday. Ad *Google doesn't state this figure explicitly but says the cache is 95 percent cheaper than the regular input token price. Google shared some internal numbers with the launch, though they're self-reported. Software engineers using Argon increased agent-driven code submissions by more than 35 percent, while code rollbacks dropped by nearly a third, the company says. Ad In the Chromium project, Argon helped the Chrome team complete an architectural refactor across hundreds of files within the 40-million-line codebase. Work that would have taken months was finished in a few weeks. For users, the payoff is that web pages can move between tabs, sidebars, and floating windows without needing to reload. Working with Google's open-source Agent Development Kit , Argon ran autonomously overnight and found optimizations that cut session preparation time by 40 percent and sped up cold imports by 21 percent. Inference speed for the open Gemma models on an A100 via vLLM jumped by a factor of 2.85, from roughly 37,900 to over 108,000 tokens per second. The changes are visible in upstream pull requests . Ad Argon can also generate complex 3D models, games, and animations in pure code that run directly in the browser. One demo features a raytracing engine written entirely in Python with no external libraries. Google published the source code . Ad In the demo below, Argon starts from a single image in Antigravity and controls Blender via MCP in an autonomous loop. It modeled gothic architecture and set up audio-reactive lighting to produce a finished 3D scene, Google says. 3D remains a weak spot for Meta's Muse models, which according to Meta AI chief Alexandr Wang were not specifically trained for 3D demo games. Google is also offering 10,000 researchers the highest usage tier of Google Antigravity free for six months. Spots are awarded on a rolling basis depending on eligibility, capacity, and selection. Applications are open now.