Aleph Alpha Kolibri vs MiniMax M3.1-Flash-Preview
A direct, empirical evaluation of Aleph Alpha Kolibri (Aleph Alpha) against MiniMax M3.1-Flash-Preview (MiniMax).
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.
MiniMax M3.1-Flash-Preview
Developed by MiniMax · Proprietary Sparse Coding MoE parameters
Low-latency interactive IDE code completions at 165 tokens/sec, SWE-bench Verified bug fixes (73.8%), terminal automation, and budget-optimized pull request reviews.
| Metric | Aleph Alpha Kolibri | MiniMax M3.1-Flash-Preview |
|---|---|---|
| SWE-bench Verified | 62.8% | 73.8% |
| MMLU-Pro | 86.4% | 81.2% |
| MATH-500 | 92.4% | 92.4% |
| Context Window | 1,048,576 tokens (1M) | 1,000,000 tokens |
| Input Pricing (per 1M) | $0.18 | $0.10 |
| Output Pricing (per 1M) | $0.55 | $0.40 |