Model Matrix
Built-in Model Matrix
AMC WebUI natively supports Google’s latest Gemini 3.x series, embodied robotics models, and dedicated multimodal endpoints.
Model Selection Guidelines
1. Primary Workhorse: gemini-3.8-flash
- Role: Default recommended model for daily programming, writing, tool invocation, and long-context processing.
- Highlights: Extremely low latency, full Thinking levels (Low / Medium / High), multimodal file analysis, and Live Artifacts generation.
2. Ultra-fast & Lightweight: gemini-3.5-flash-lite
- Role: High-throughput micro-queries, rapid classifications, and the dedicated background engine for real-time chain-of-thought translation.
- Highlights: Minimal token cost and latency with support for the
Minimalthinking level.
3. Advanced Reasoning: gemini-3.1-pro-preview
- Role: Complex mathematical reasoning, academic research, and massive cross-repository codebase refactoring.
- Highlights: 2M token context window and up to 32,768 thinking token budget.
4. Embodied & Spatial Intelligence: gemini-robotics-er-2-preview
- Role: Spatial geometry, 3D spatial relationship deduction, and robotic task planning.
- Key Requirement:
- Google requires the calling API Key to have API Restrictions applied in Google AI Studio. Unrestricted keys will be rejected with
403 Forbidden. - Recommended
Thinking Level: Mediumto balance spatial calculation accuracy with latency.
- Google requires the calling API Key to have API Restrictions applied in Google AI Studio. Unrestricted keys will be rejected with