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 — Moonshot AI
Kimi K3 is Moonshot AI's 2.8-trillion-parameter open-weight Mixture-of-Experts model with native vision and a 1-million-token context window, built on Kimi Delta Attention and Attention Residuals. On the API it always reasons, with configurable reasoning effort.
| Property | Gemini 3.5 Flash-Lite | Kimi K3 |
|---|---|---|
| Released | Jul 21, 2026 | Jul 16, 2026 |
| Developer | Google DeepMind | Moonshot AI |
| Type | multimodal | multimodal |
| License | proprietary | open-weight |
| Context window | 1,048,576 | 1,048,576 |
| Parameters | — | 2.8T total, 104B activated (MoE; 16 of 896 experts per token) |
| Developer status | — | — |
| Input $/M tokens | $0.30 | $3.00 |
| Output $/M tokens | $2.50 | $15.00 |
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-3-5-flash-lite&b=kimi-k3. CORS is open. Citation guidance: /about/editorial-process.