Llama 3.3 70B vs Manus 2.0
A direct, empirical evaluation of Llama 3.3 70B (Meta AI) against Manus 2.0 (Manus AI).
Llama 3.3 70B
Developed by Meta AI · 70.6B parameters
Self-hosted on-premise deployments and edge dense inference.
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 | Llama 3.3 70B | Manus 2.0 |
|---|---|---|
| SWE-bench Verified | 38.8% | 74.8% |
| MMLU-Pro | 68.3% | 85.6% |
| MATH-500 | 75.8% | 89.4% |
| Context Window | 128,000 tokens | 500,000 tokens |
| Input Pricing (per 1M) | $0.15 | $3.50 |
| Output Pricing (per 1M) | $0.60 | $15.00 |