Gemini 4 Argon generates up to 1 million tokens per response
DeepMind released its flagship Argon model, raising the single-response limit from 64,000 to 1 million tokens and scoring 77.9% on DeepSWE v1.1, aimed at long-horizon software engineering and enterprise research.
Google DeepMind launched Gemini 4 Argon. The flagship model can generate up to 1 million tokens in a single response, up from 64,000 in previous Gemini models. Built for long-horizon software engineering, enterprise research and cybersecurity. Argon scored 77.9% on DeepSWE v1.1, beating Claude Opus 5.5 and GPT-6 Astra. The biggest shift is not the benchmark score. It is the ability to reason, use tools and complete massive workflows without losing context. 🤖