Aleph Alpha Kolibri vs Manus 2.0
A direct, empirical evaluation of Aleph Alpha Kolibri (Aleph Alpha) against Manus 2.0 (Manus AI).
Aleph Alpha Kolibri
Developed by Aleph Alpha · 78.2 Billion Total Parameters (32 routed experts + 2 shared experts) parameters
EU AI Act and GDPR compliant enterprise deployments, European legal and technical translation, 1M context long-document analysis, and 3.46B parameter active inference efficiency.
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 | Aleph Alpha Kolibri | Manus 2.0 |
|---|---|---|
| SWE-bench Verified | 62.8% | 74.8% |
| MMLU-Pro | 86.4% | 85.6% |
| MATH-500 | 92.4% | 89.4% |
| Context Window | 1,048,576 tokens (1M) | 500,000 tokens |
| Input Pricing (per 1M) | $0.18 | $3.50 |
| Output Pricing (per 1M) | $0.55 | $15.00 |