Compare models
Put models side by side on price, context, capabilities, and benchmarks.
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-6.1 Sol is OpenAI's upgrade to GPT-6 Sol (1.05M-token context, $2/$10 per million input/output tokens), released September 29, 2026 at DevDay below the flagship GPT-6 Astra. OpenAI says it nearly matches Astra on agentic coding, computer use, and professional work at a fifth of the price, making it a strong default for coding agents and document-heavy workflows.
Benchmarks
Head-to-head scores across reasoning, coding, and agentic indices, plus per-domain rankings.