Gemini 4 Argon vs GPT-6 Sol
A direct, empirical evaluation of Gemini 4 Argon (Google DeepMind) against GPT-6 Sol (OpenAI).
Gemini 4 Argon
Developed by Google DeepMind · Frontier Coding & Security Engine on TPU v6e Ironclad parameters
Automated GitHub issue resolution (78.4% SWE-bench Verified), cybersecurity exploit auditing (91.4% CyberSecBench), 2M token context buffer, and aggressive $1.20/$4.80 API pricing.
GPT-6 Sol
Developed by OpenAI · Proprietary Frontier Workhorse parameters
High-efficiency agentic software development, OSWorld computer use, repository refactoring, and enterprise workflow execution at 80% lower cost per task than Claude Opus.
| Metric | Gemini 4 Argon | GPT-6 Sol |
|---|---|---|
| SWE-bench Verified | 78.4% | 68.8% |
| MMLU-Pro | 93.6% | 90.8% |
| MATH-500 | 97.6% | 96.4% |
| Context Window | 2,000,000 tokens | 1,000,000 tokens |
| Input Pricing (per 1M) | $1.20 | $2.00 |
| Output Pricing (per 1M) | $4.80 | $10.00 |