Gemini 4 Argon vs GPT-6 Luna
A direct, empirical evaluation of Gemini 4 Argon (Google DeepMind) against GPT-6 Luna (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 Luna
Developed by OpenAI · Proprietary High-Throughput Distillation parameters
High-throughput document extraction, sub-second routing, customer service triage, code autocomplete, and cost-optimized reasoning via Luna Pro mode.
| Metric | Gemini 4 Argon | GPT-6 Luna |
|---|---|---|
| SWE-bench Verified | 78.4% | 48.2% |
| MMLU-Pro | 93.6% | 74.6% |
| MATH-500 | 97.6% | 84.1% |
| Context Window | 2,000,000 tokens | 1,050,000 tokens |
| Input Pricing (per 1M) | $1.20 | $0.10 |
| Output Pricing (per 1M) | $4.80 | $0.50 |