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 — MiniMax
MiniMax-M3 is a native multimodal model with about 428B parameters (about 23B activated) and a 1M-token context window, built on MiniMax Sparse Attention. MiniMax positions it for agentic coding, tool use and long-context work.
| Property | Gemini 3.5 Flash-Lite | MiniMax-M3 |
|---|---|---|
| Released | Jul 21, 2026 | Jun 1, 2026 |
| Developer | Google DeepMind | MiniMax |
| Type | multimodal | multimodal |
| License | proprietary | open-weight |
| Context window | 1,048,576 | 1,000,000 |
| Parameters | — | ~428B total, ~23B activated (MoE) |
| Developer status | — | — |
| Input $/M tokens | $0.30 | $0.30 |
| Output $/M tokens | $2.50 | $1.20 |
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=minimax-m3. CORS is open. Citation guidance: /about/editorial-process.