Aleph Alpha Kolibri vs Nano Banana 3 Pro
A direct, empirical evaluation of Aleph Alpha Kolibri (Aleph Alpha) against Nano Banana 3 Pro (Google DeepMind).
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.
Nano Banana 3 Pro
Developed by Google DeepMind · 2.8 Billion Parameters parameters
Zero-latency mobile on-device reasoning, 82ms TTFT, offline audio-visual tool execution, and local Android system integration.
| Metric | Aleph Alpha Kolibri | Nano Banana 3 Pro |
|---|---|---|
| SWE-bench Verified | 62.8% | 58.6% |
| MMLU-Pro | 86.4% | 74.2% |
| MATH-500 | 92.4% | 82.5% |
| Context Window | 1,048,576 tokens (1M) | 131,072 tokens |
| Input Pricing (per 1M) | $0.18 | $0.00 |
| Output Pricing (per 1M) | $0.55 | $0.00 |