Mode-Based Selection
Gemini reframes model selection as "mode" selection, presenting users with three performance tiers, Fast, Thinking, and Pro, each optimized for different task types and response complexity.

Gemini composer showing mode selector dropdown with three options: Fast (answers quickly), Thinking (solves complex problems), and Pro (advanced math & code)
What's happening
Gemini abstracts technical model selection into user-friendly "modes" that emphasize outcomes rather than specifications. Instead of exposing model versions or parameter counts, Gemini presents Fast, Thinking, and Pro tiers that align with user goals (speed vs. depth).
Patterns
Dropdown presenting three performance modes with outcome-based descriptions
Abstracted labels (Fast, Thinking, Pro) replace technical model names
UX Insights
- •Mode-based framing makes AI complexity more approachable for general users
- •Outcome descriptions ("Answers quickly", "Solves complex problems") guide selection by use case
- •Three-tier structure provides clear upgrade path from free to premium
- •Placement next to Tools icon creates a unified control center for customization
- •Selected mode displays inline (e.g., "Fast" button) for at-a-glance awareness
Design Decisions
Gemini deliberately avoids exposing model version numbers or technical details, instead presenting selection as a spectrum from speed to power. This design choice prioritizes accessibility and outcome-based thinking over technical transparency. The mode selector lives in the composer rather than settings, suggesting Google treats it as a per-session preference rather than a global configuration.
More case studies

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Tool Switching in Composer
DeepSeek composer: Instant/Expert tier toggle, DeepThink and Search chips in the card, and attach with tier-specific limits.

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Task composer & modes
Manus assignment bar: connector suggestions, + attach menu, skills, cloud computer, agent tiers, voice input, and mode-specific flows like Slides.