Gemini 4 Pro (Leaked Benchmark) vs Aleph Alpha Kolibri
A direct, empirical evaluation of Gemini 4 Pro (Leaked Benchmark) (Google DeepMind) against Aleph Alpha Kolibri (Aleph Alpha).
Gemini 4 Pro (Leaked Benchmark)
Developed by Google DeepMind · Proprietary Omni-Modal Unified Diffusion Transformer parameters
Repository-scale 2M-token refactoring (88.7% DeepSWE v1.1), headless shell execution (95.3% Terminal-Bench 2.1), and multimodal desktop agent autonomy (86.8% OSWorld 2.0).
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 | Gemini 4 Pro (Leaked Benchmark) | Aleph Alpha Kolibri |
|---|---|---|
| SWE-bench Verified | 88.7% | 62.8% |
| MMLU-Pro | 93.8% | 86.4% |
| MATH-500 | 97.8% | 92.4% |
| Context Window | 2,000,000 tokens | 1,048,576 tokens (1M) |
| Input Pricing (per 1M) | $2.25 | $0.18 |
| Output Pricing (per 1M) | $11.25 | $0.55 |