Aleph Alpha Kolibri vs Xiaomi MiMo-V2.6 Pro
A direct, empirical evaluation of Aleph Alpha Kolibri (Aleph Alpha) against Xiaomi MiMo-V2.6 Pro (Xiaomi AI Lab (Fuli Luo)).
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.
Xiaomi MiMo-V2.6 Pro
Developed by Xiaomi AI Lab (Fuli Luo) · 1.02 Trillion (Sparse MoE) parameters
High-accuracy autonomous coding (71.9% DeepSWE), cybersecurity defense (94.0% CyberGym), multimodal document reasoning, and cost-effective agentic workflows.
| Metric | Aleph Alpha Kolibri | Xiaomi MiMo-V2.6 Pro |
|---|---|---|
| SWE-bench Verified | 62.8% | 71.9% |
| MMLU-Pro | 86.4% | 89.2% |
| MATH-500 | 92.4% | 93.8% |
| Context Window | 1,048,576 tokens (1M) | 128,000 tokens |
| Input Pricing (per 1M) | $0.18 | $0.10 |
| Output Pricing (per 1M) | $0.55 | $0.20 |