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 2.5 Pro is a model from Google, first released as an experimental model on March 25, 2025 and as a stable model (gemini-2.5-pro) on June 17, 2025. It takes text, image, audio, video and PDF input and returns text.
Model B — Meta
Llama 4 Scout is an open-weight mixture-of-experts model from Meta, released on April 5, 2025, with 17B active and 109B total parameters. It takes multilingual text and image input and returns text and code.
| Property | Gemini 2.5 Pro | Llama 4 Scout |
|---|---|---|
| Released | Jun 17, 2025 | Apr 5, 2025 |
| Developer | Google DeepMind | Meta |
| Type | multimodal | multimodal |
| License | proprietary | open-weight |
| Context window | 1,048,576 | 10,000,000 |
| Parameters | — | 109B total, 17B active (mixture of experts, 16 experts) |
| Developer status | Superseded | — |
| Input $/M tokens | $1.25 | — |
| 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=gemini-2-5-pro&b=llama-4-scout. CORS is open. Citation guidance: /about/editorial-process.