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 — 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.
Model B — Reflection AI
Beam is Reflection AI's first open-weight model, a 501B-parameter sparse mixture-of-experts model with 23B active parameters, built for coding, reasoning and agentic work. Announced on October 5, 2026, its weights were released on Hugging Face under Apache 2.0; it takes and returns text only.
| Property | Gemini 4 Argon | Beam 1.0 |
|---|---|---|
| Released | Oct 13, 2026 | Oct 16, 2026 |
| Developer | Google DeepMind | Reflection AI |
| Type | reasoning | llm |
| License | proprietary | open-weight |
| Context window | 1,048,576 | 1,000,000 |
| Parameters | — | 501B total, 23B active (sparse 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.
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