Gemini 4 Argon vs Manus 2.0
A direct, empirical evaluation of Gemini 4 Argon (Google DeepMind) against Manus 2.0 (Manus 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.
Manus 2.0
Developed by Manus AI · Multi-Agent Autonomous Orchestration Hierarchy parameters
End-to-end multi-tab browser automation (74.8% GAIA), complex financial web extraction, asynchronous multi-agent coordination, and isolated microVM workflows.
| Metric | Gemini 4 Argon | Manus 2.0 |
|---|---|---|
| SWE-bench Verified | 78.4% | 74.8% |
| MMLU-Pro | 93.6% | 85.6% |
| MATH-500 | 97.6% | 89.4% |
| Context Window | 2,000,000 tokens | 500,000 tokens |
| Input Pricing (per 1M) | $1.20 | $3.50 |
| Output Pricing (per 1M) | $4.80 | $15.00 |