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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.

DeepSeek logo
DeepSeek
✓ verifiedFreemium

Chinese AI lab DeepSeek offering free chat apps and low-cost API access to its frontier V-series and R-series reasoning models.

430M visits/mo
Airtable AI logo
Airtable AI
✓ verifiedFreemium

No-code app-building platform with AI for data and workflow automation.

27M visits/mo
37M visits/mo
Ultralytics logo
Ultralytics
✓ verifiedFreemium

End-to-end computer vision platform for teams annotating data, training YOLO models, and deploying them at scale.

1.1M visits/mo
Unsloth AI logo
Unsloth AI
✓ verifiedFreemium

Open-source library and desktop app for fast, memory-efficient local fine-tuning and inference of open LLMs.

1.1M visits/mo29K saves
Pricing

No public pricing

No public pricing

No public pricing

Free: $0/month (100GB storage, 100 models, 3 concurrent trainings)
Pro: $29/seat/month (500GB storage, 500 models, 10 concurrent trainings)

No public pricing

Core features
  • Free DeepSeek chat (web and app)
  • Open API platform
  • V-series and R-series reasoning models
  • DeepSeek-V4 with long context and stronger agent ability
  • OpenAI/Anthropic-compatible API
  • Extensive published model lineup
  • No-code app building
  • AI-powered data analysis and automation
  • Integration with popular tools
  • Customizable interfaces and views
  • Collaboration features
  • Access to millions of study materials
  • AI-powered summarization of notes
  • Quizzes and Flashcards for practice
  • Community sharing of study resources
  • Smart data annotation with SAM-powered one-click masks across six task types
  • Cloud training with 22+ GPU configurations from RTX 2000 Ada to B200
  • Support for YOLOv5 through YOLO26 model families
  • One-click deployment across 43 global regions with auto-scaling
  • Export to 18 formats including ONNX, TensorRT, and CoreML
  • Live training metrics and experiment comparison dashboard
  • Optimized LoRA/FFT/PT training kernels for 500+ models
  • Local offline model runner for Mac and Windows
  • No-code dataset creation from PDFs, CSVs, and JSON
  • Unlimited tool-calling and web search inside model runs
  • Data Recipes workflow to turn documents into training datasets
  • Export to safetensors or GGUF for llama.cpp, vLLM, Ollama
  • Multi-GPU support on paid tiers
Use cases
  • Free AI chat and assistance
  • Building apps via API
  • Reasoning and coding tasks
  • Low-cost LLM inference
  • Product development cycle management
  • Marketing campaign creation and tracking
  • Operations data and process organization
  • Project management across departments
  • Human resources process streamlining
  • Sales workflow optimization
  • Financial request streamlining and budget management
  • Finding study notes for specific courses
  • Preparing for exams using quizzes and flashcards
  • Sharing personal study materials with other students
  • Organizing and summarizing study notes with AI
  • Building and training custom object detection or segmentation models
  • Labeling large image/video datasets for computer vision projects
  • Deploying vision models to edge or mobile devices
  • Running quality control or defect detection in manufacturing
  • Powering retail, logistics, or agriculture vision applications
  • ML engineers fine-tuning open models on a single GPU for free
  • Teams building custom datasets from unstructured documents
  • Developers wanting to run and compare LLMs fully offline
  • Enterprises needing faster, more accurate multi-node training
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