Gemini Robotics-ER 1.6
Google · Gemini Robotics
Google DeepMind's robotics-tuned Gemini for embodied reasoning, spatial planning, and physical agent tasks.
Overview
Freshness note: Model capabilities, limits, and pricing can change quickly. This profile is a point-in-time snapshot last verified on June 8, 2026.
Gemini Robotics-ER 1.6 is Google’s robotics-tuned Gemini variant, published as gemini-robotics-er-1.6-preview. It is built as a vision-language model for advanced reasoning in the physical world: interpreting complex visual data, performing spatial reasoning, and planning actions from natural-language commands.
This is a specialized model. For typical chat or coding workflows, the standard Gemini 3.1 Pro line is the right reference. Robotics-ER 1.6 is the entry to consult when the question is “how does Google approach embodied reasoning for physical agents?”
Capabilities
Google’s current model and pricing docs highlight a specific capability profile:
- Embodied reasoning for robots and physical-world agents.
- Text, image, video, and audio inputs with text output.
- Spatial and physical reasoning for interpreting visual scenes and planning actions.
- Tool-oriented capabilities including function calling, code execution, file search, URL context, search grounding, Google Maps grounding, Computer Use, structured outputs, thinking, caching, batch, flex, and priority inference.
- No image generation, audio generation, or Live API support on the current model page.
Technical Details
Public anchors at this snapshot:
- Model ID:
gemini-robotics-er-1.6-preview - Input token limit: 131,072
- Output token limit: 65,536
- Inputs: text, images, video, and audio
- Output: text
- Designed as a planner and reasoning model for physical-world workflows, not as a generic chat model.
- Available through the Gemini API and Google AI Studio at this snapshot.
- Marked as a preview release; DeepMind may adjust capabilities and access before GA.
Google’s deprecation table lists no shutdown date for gemini-robotics-er-1.6-preview at this snapshot.
Pricing & Access
Google’s current pricing page lists a separate Robotics-ER 1.6 Preview tier:
- Input: $1.00 per 1M text, image, or video tokens
- Input: $2.00 per 1M audio tokens
- Output: $5.00 per 1M tokens
- Batch: 1.00 audio input, and $2.50 output per 1M tokens
Access options:
- Gemini API for developers
- Google AI Studio for prototyping
- Vertex AI / Gemini deployment paths where this preview model is enabled
Best Use Cases
Choose Gemini Robotics-ER 1.6 for:
- Industrial inspection workflows where reading analog gauges and instruments matters.
- Robotics planners that delegate motor control to VLA models while keeping high-level reasoning in a frontier model.
- Embodied agents that need spatial reasoning, multi-view understanding, and tool-call orchestration in one surface.
- Research and prototyping work around robotics planning, physical-scene interpretation, and tool-using embodied agents.
This is not the right model for general assistant work, chat, or non-physical agentic coding; the standard Gemini 3.1 Pro and Flash lines are better defaults there.
Comparisons
- Gemini Robotics-ER 1.5 (Google): Direct predecessor; 1.6 is the current documented Robotics-ER preview route.
- Gemini 3.5 Flash (Google): General-purpose fast Gemini model; Robotics-ER 1.6 is the robotics-specialized counterpart with embodied-reasoning positioning.
- Other embodied-AI research models: Typically narrower research demos; Robotics-ER 1.6 differentiates through Gemini API access, physical-world reasoning, and broad tool support.