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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.

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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

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves
21K visits/mo
venice.ai logo
venice.ai
✓ verifiedFreemium

Privacy-focused AI platform offering uncensored chat, image, video, and audio generation across many third-party and open-source models.

12M visits/mo26K saves
Pricing

No public pricing

No public pricing

No public pricing

DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
Free: $0/mo (10 text prompts/day, 15 image prompts/day)
Pro: $18/mo (unlimited text prompts, 1,000 images/day, 100 credits/month)
Pro Plus: $68/mo (7,500 credits/month)
Max: $200/mo (22,500 credits/month)
Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • Fast tensor operations
  • Differentiable tensors for gradient-based optimization
  • Network connectivity
  • Integration with Bun and Flashlight
  • Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
  • 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
  • Multi-provider chat, image, video, and audio generation
  • Zero data retention on private/self-hosted models
  • OpenAI-compatible API for agent integrations
  • Tiered privacy levels including TEE and end-to-end encryption
  • Uncensored open-source model access
  • Credit-based access to premium third-party models
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • 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.
  • Chatting or generating content without prompt logging
  • Building AI agents via an OpenAI-compatible API
  • Generating images or video with fewer content restrictions
  • Accessing many leading AI models under one subscription
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