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Raycast vs Zhipu AI

Side-by-side comparison of features, pricing, and ratings

Raycast
Raycast

Extendable macOS launcher with built-in AI and cross-platform beta

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Zhipu AI
Zhipu AI

Chinese AI platform offering GLM models for text, image, and video generation via MaaS.

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Pricing
Freemium
Freemium
Plans
$0
$8/mo
$12/user/mo
$0
Usage-based
Rating
Popularity
5.4k views
4.5k views
Skill Level
Beginner-friendly
Intermediate
API Available
Platforms
Desktop
WebAPI
Categories
💻 Code & Development Productivity
💻 Code & Development
Features
AI Chat with multiple models (GPT-4o, Claude 3.5, BYOM)
Quick AI for instant web-augmented answers
Custom AI Commands for task automation
Clipboard history management (3 months on Free, unlimited on Pro)
Snippets with keyword expansion
Window management and resizing
File search with Spotlight replacement
Quicklinks for common searches
Calculator and unit conversion
Calendar integration with conference providers
System commands (sleep, shutdown, lock)
Emoji picker and symbol search
Pomodoro timer with menu bar display
Raycast Notes for quick note-taking (5 limit on Free)
Focus mode for distraction-free blocking
GLM-5 coding-optimized flagship model
GLM-5-Turbo for optimized agent core capabilities
GLM-4.6V visual reasoning with 128K context
AutoGLM autonomous agent with multi-step planning
GLM-PC computer control via screen input
Model fine-tuning in as little as 10 minutes
Pre-built agent apps (translation, PPT, poster)
AI search tool with multiple search engines
Code generation and code review assistance
Multimodal image and video generation
API-based MaaS with high concurrency support
GLM-Image for image generation tasks
Custom model training and deployment
Chinese language understanding and generation
Cross-app agent execution (AutoGLM)
Integrations
GitHub
Jira
Linear
Slack
Google Translate
Spotify
Arc
TinyPNG
1Password
Zoom
Notion
Todoist
Google Search
Obsidian
Google Chrome
CleanShot X
Granola (Auto Transcribe)
Hugging Face
LangChain
Alibaba Cloud
Tencent Cloud
Baidu Cloud
Intel (on-device inference)