DeepSeek-V3 vs Aleph Alpha Kolibri
A direct, empirical evaluation of DeepSeek-V3 (DeepSeek-AI) against Aleph Alpha Kolibri (Aleph Alpha).
DeepSeek-V3
Developed by DeepSeek-AI · 671B parameters
Cost-effective high-throughput general reasoning and bilingual generation.
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.
| Metric | DeepSeek-V3 | Aleph Alpha Kolibri |
|---|---|---|
| SWE-bench Verified | 49.2% | 62.8% |
| MMLU-Pro | 75.9% | 86.4% |
| MATH-500 | 90.2% | 92.4% |
| Context Window | 128,000 tokens | 1,048,576 tokens (1M) |
| Input Pricing (per 1M) | $0.14 | $0.18 |
| Output Pricing (per 1M) | $0.28 | $0.55 |