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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

21K visits/mo

Pay-per-use cloud API to run, fine-tune, and deploy thousands of open-source and proprietary AI models with one line of code.

1.3M visits/mo17K saves
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✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

775K visits/mo
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Paid
779K visits/mo
122K visits/mo
Pricing
DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
CPU (Small): $0.000025/sec ($0.09/hr)
Nvidia A100 80GB: $0.0014/sec ($5.04/hr)
Nvidia H100: $0.001525/sec ($5.49/hr)

Free trial available

No public pricing

Starter: 135
Team: 1,045
Business: Custom
Enterprise: Custom

No public pricing

Core features
  • Developer-first platform for AI-powered integrations
  • Secure, isolated sandboxes for running JavaScript/Python code
  • Automatic management of npm/PyPI dependencies
  • Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
  • Yep Agent (prompt → runnable processes)
  • MCP Server/Tools (convert code into AI agent tools)
  • Serverless runtime (YepCode Run) and SDK access
  • One-line API calls to run community and proprietary AI models
  • Support for image, video, speech, and LLM generation models
  • Fine-tuning and custom model deployment via Cog
  • Per-second usage billing on shared or dedicated hardware
  • Automatic scaling for high-traffic private models
  • Thousands of community-published models with production APIs
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • AI-powered translation
  • Translation management system (TMS)
  • Software localization
  • Translation portal
  • Intelligent automation
  • Actionable analytics
  • Integration with various tools
  • Visual bug reporting
  • AI-powered customer support (Kai)
  • Public roadmaps
  • Knowledge base
  • Surveys
  • Marketing automation
  • Live chat
  • Custom chatbots
Use cases
  • Building complex API integrations that require custom code and logic beyond what no-code tools offer.
  • Safely running AI-generated scripts in isolated environments with secrets management.
  • Automating workflows that require large datasets, loops, branching, or custom dependencies.
  • Connecting AI agents to external databases, APIs, and services using MCP tools.
  • Developers embedding image/video/speech generation into an app via API
  • Teams deploying and scaling their own fine-tuned models
  • Builders comparing outputs from multiple AI models in one playground
  • Companies avoiding GPU infrastructure management for ML inference
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Automating multilingual content delivery
  • Localizing software and applications
  • Managing translation workflows
  • Improving customer satisfaction in new regions
  • Ensuring brand consistency across languages
  • Fix bugs faster with visual feedback.
  • Improve customer satisfaction with AI-powered support.
  • Manage feature requests and let users vote on suggestions.
  • Drive customer engagement with targeted outreach.
  • Create custom chatbots for sales, marketing, and support.
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