AI Model Comparison
Side-by-side comparison of pricing, context window, benchmarks, capabilities, and license. Every figure comes from the developer's own pages, last checked on ; each model's page lists its sources. A figure we could not source shows as a dash.
Model A — Aleph Alpha
Kolibri is a mixture-of-experts reasoning model from Aleph Alpha for German and English, released on October 3, 2026 and built for public administration and industry, with deployment on customer-controlled infrastructure. It supports a reasoning mode and tool calling.
Model B — Google DeepMind
Gemini 4 Argon is a model from Google, made generally available in the Gemini API on October 13, 2026, which Google calls its flagship reasoning model, for complex software engineering, mathematical and scientific problem solving and autonomous agents. It takes text, image, video, audio and PDF input and returns text; its model card describes a sparse mixture-of-experts transformer with a March 2026 knowledge cutoff.
| Property | Kolibri | Gemini 4 Argon |
|---|---|---|
| Released | Oct 3, 2026 | Oct 13, 2026 |
| Developer | Aleph Alpha | Google DeepMind |
| Type | reasoning | reasoning |
| License | open-weight | proprietary |
| Context window | 1,048,576 | 1,048,576 |
| Parameters | 78B total, 3.46B active per token (Mixture-of-Experts) | — |
| Developer status | — | — |
| Input $/M tokens | — | $2.00 |
| Output $/M tokens | — | $10.00 |
Bold green values indicate the winner on that dimension where comparison is meaningful (lower price wins; bigger context wins; more open license wins; newer date wins). Prices are the ones each developer lists today; a model it no longer prices has none.
Programmatic access available at /api/ai/compare?a=aleph-alpha-kolibri&b=gemini-4-argon. CORS is open. Citation guidance: /about/editorial-process.