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 3.5 Flash-Lite is a low-latency, lower-cost Gemini model, made generally available on July 21, 2026, for subagent tasks, document parsing and high-volume workflows. It takes text, image, video, audio and PDF input and returns text.
Model B — Alibaba
Qwen3.8-27B is an open-weight 27-billion-parameter dense native vision-language model that understands images and videos, with thinking on by default and adjustable reasoning effort. It is released under Apache 2.0.
| Property | Gemini 3.5 Flash-Lite | Qwen3.8-27B |
|---|---|---|
| Released | Jul 21, 2026 | Aug 19, 2026 |
| Developer | Google DeepMind | Alibaba |
| Type | multimodal | multimodal |
| License | proprietary | open-weight |
| Context window | 1,048,576 | 262,144 |
| Parameters | — | 27B (dense) |
| Developer status | — | — |
| Input $/M tokens | $0.30 | $0.50 |
| Output $/M tokens | $2.50 | $3.00 |
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.
No exclusive capabilities
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