比较模型

Gemini 4 Argon is Google's flagship reasoning model for software engineering, math and science problem-solving, and multi-step agent workflows, with output of up to 1M tokens versus 64K for earlier Gemini models. Google reports it beating GPT-6 Astra and Claude Opus 5.5 on 12 of 18 published benchmarks, though those results are company-reported.

GPT-6 Luna is the fast, low-cost tier of OpenAI's GPT-6 series (1.05M-token context, text, image, and file input, $0.10/$0.50 per million input/output tokens), released September 22, 2026 below GPT-6 Sol and the flagship GPT-6 Astra. It is built for high-volume tasks with a clear goal, such as summarization, extraction, classification, quick questions, and lightweight agentic steps.