Gemini 4 Argon vs GPT-6 Astra

Gemini 4 Argon in brief

Gemini 4 Argon: what Google announced on September 30, 2026, who can use it, its 1M-token output, claimed benchmarks, pricing status and how it compares with GPT-6 Astra.

• Complex reasoning and multi-step software engineering
• Defensive cybersecurity
• Output of up to 1 million tokens per response

GPT-6 Astra in brief

GPT-6 Astra specs and pricing: OpenAI's flagship SI model (September 2026) with a 1.05M-token context window at $10/$50 per million tokens, plus how it compares.

• Long-horizon agentic work and computer use
• Software engineering
• About 1.05M-token context with 128K output
• First model rated "Critical" for cyber capability under OpenAI's framework

Which should you choose?

Choose Gemini 4 Argon if you need: early evaluation by approved partners; defensive cybersecurity work.

Choose GPT-6 Astra if you need: the hardest multi-step agent tasks; large codebases and complex engineering; research and analysis where quality matters more than cost.

For most teams the best test is your own workload: run the same 20–50 real prompts through both models and compare quality, speed and cost. Benchmarks published by labs use different settings and rarely match everyday use.