Gemini 4 Argon vs Nano Banana 3 Pro
A direct, empirical evaluation of Gemini 4 Argon (Google DeepMind) against Nano Banana 3 Pro (Google DeepMind).
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.
Nano Banana 3 Pro
Developed by Google DeepMind · 2.8 Billion Parameters parameters
Zero-latency mobile on-device reasoning, 82ms TTFT, offline audio-visual tool execution, and local Android system integration.
| Metric | Gemini 4 Argon | Nano Banana 3 Pro |
|---|---|---|
| SWE-bench Verified | 78.4% | 58.6% |
| MMLU-Pro | 93.6% | 74.2% |
| MATH-500 | 97.6% | 82.5% |
| Context Window | 2,000,000 tokens | 131,072 tokens |
| Input Pricing (per 1M) | $1.20 | $0.00 |
| Output Pricing (per 1M) | $4.80 | $0.00 |