Tools
Dify vs IO Intelligence
Dify or IO Intelligence? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In inglese
In short
- Both: Choice of models, API, Builds agents and workflows, Search over your data, Traces and evaluates
- Only Dify states: Self-hosted
- Only IO Intelligence states: Runs models for you
Dify
Dify lets teams build, test, deploy, and monitor AI apps, agents, workflows, and RAG pipelines in the cloud or on private infrastructure.
Plans
Sandbox
Free
- 200 message credits
- 1 Team Workspace
- 1 Team Member
- 5 Apps
- 50 Knowledge Documents
- 50MB Knowledge Data Storage
Professional
- $590 per workspace / year
- 5,000 message credits / month
- 1 Team Workspace
- 3 Team Members
- 50 Apps
- 500 Knowledge Documents
- 5GB Knowledge Data Storage
Enterprise
Price on request
- Enterprise-grade Scalable Deployment Solutions
- Commercial License Authorization
- Multiple Workspaces & Enterprise Management
- SSO
- Advanced Security & Controls
- Professional Technical Support
Prices checked 2026-09-25 by web search.
Capabilities
- Choice of models — “Credits are provided to help you easily try out different models from OpenAI, Anthropic, Gemini, xAI, Tongyi in Dify.” source
- Self-hosted — “Self-host or run in your VPC.” source
- API — “Publish Dify apps as hosted experiences, API endpoints, embeds, or MCP-compatible tools.” source
- Builds agents and workflows — “Build an agent by chatting or configuring it manually.” source
- Search over your data — “Prepare searchable knowledge bases” source
- Traces and evaluates — “Use logs, feedback, annotations, latency, and usage data to understand what happened and improve the app over time.” source
Latest updates
- v1.17.0 (v1.17.0)
Adds an E2B sandbox backend, build-time home snapshots, and skill management.
- v1.16.0 (v1.16.0)
Launches Dify Agent (Beta), with a UI builder for agents that run in a Linux sandbox.
IO Intelligence
IO Intelligence lets users access AI models, build agentic workflows, and deploy agents through io.net.
Plans
Standard
Free
- Free light daily access
- Pay-as-you-go (PAYG) beyond daily limit
- Continuous access with PAYG
- Shared credit pool across models
Professional
- $13.99 per month
- Includes $15/month in usage credits
- Credits refresh daily
- PAYG applies automatically after
- Cost-effective for daily personal use
- Great for long sessions, coding help, content creation, and research
Developer
- $135 per month
- Includes $150/month in usage credits
- Credits refresh every 8 hours
- PAYG applies automatically after
- Optimized for high-volume workloads
- Designed for agents and automation workflows
- Built for production workloads and scale
Prices checked 2026-09-25 by web search.
Capabilities
- Choice of models — “Access and seamlessly switch between 12+ open-source models, from one account with one key.” source
- API — “One API for every major frontier AI lab including Google, Microsoft, OpenAI, Alibaba, Mistral, DeepSeek, and more.” source
- Runs models for you — “Deploy in minutes with OpenAI compatible APIs across text, image, and speech modalities.” source
- Builds agents and workflows — “Build, connect, and execute powerful AI workflows using a visual, no-code interface.” source
- Search over your data — “Complete AI studio RAG with document upload, custom agents, deterministic parameter validation with a simple inference interface.” source
- Traces and evaluates — “Note: execution is managed by IO’s internal orchestration engine, ensuring retry logic, state management, and observability.” source
Latest updates
- A new tokenomics for a new era: The IDE is now live
The Incentive Dynamic Engine (IDE) ties the supply of $IO directly to how much people are actually using the network.