Gemini 4 Argon vs Llama 3.3 70B
A direct, empirical evaluation of Gemini 4 Argon (Google DeepMind) against Llama 3.3 70B (Meta AI).
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.
Llama 3.3 70B
Developed by Meta AI · 70.6B parameters
Self-hosted on-premise deployments and edge dense inference.
| Metric | Gemini 4 Argon | Llama 3.3 70B |
|---|---|---|
| SWE-bench Verified | 78.4% | 38.8% |
| MMLU-Pro | 93.6% | 68.3% |
| MATH-500 | 97.6% | 75.8% |
| Context Window | 2,000,000 tokens | 128,000 tokens |
| Input Pricing (per 1M) | $1.20 | $0.15 |
| Output Pricing (per 1M) | $4.80 | $0.60 |