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Devin vs Ollama

Side-by-side comparison to help you choose the best tool.

Devin

paid
4.3 / 5.0

Devin is the world's first AI software engineer, built by Cognition AI. It can autonomously plan and complete entire engineering tasks - writing code, running tests, fixing bugs, and deploying applications - without human intervention. Devin operates in a sandboxed environment with its own browser, terminal, and code editor, and can work on long-horizon tasks that previously required a human engineer.

Best for: Engineering teams wanting to delegate well-defined, repetitive, or long-horizon software tasks to an autonomous AI engineer
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Ollama

free
4.7 / 5.0

Ollama is an open-source tool for running large language models locally on Mac, Linux, and Windows. With a single command, users can pull and run models like LLaMA 3, Mistral, Gemma, Phi, and hundreds more - no cloud, no API key, complete privacy. Ollama provides a simple CLI and REST API, making it the most popular tool for running LLMs locally for development and private use.

Best for: Developers and privacy-conscious users wanting to run LLMs locally with zero cloud dependency, for development, testing, and private use
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Feature Comparison
Feature Devin Ollama
Pricing paid free
Category - -
Rating ★★★★☆ 4.3 ★★★★½ 4.7
Best For Engineering teams wanting to delegate well-defined, repetitive, or long-horizon software tasks to an autonomous AI engineer Developers and privacy-conscious users wanting to run LLMs locally with zero cloud dependency, for development, testing, and private use
Views 94 152
Detailed Attribute Comparison
Attribute Devin Ollama
Pricing Type paid free ✓
Free Trial No No
API Available No No
Mobile App No No
Rating 4.3 4.7 ✓
Founded - -
Team Size - -
Deployment - -
Popularity (Views) 94 152 ✓
Pros & Cons — Devin
Pros
  • Genuinely autonomous — completes tasks independently
  • Long-horizon tasks beyond any coding assistant
  • Demonstrated SWE-bench benchmark performance
Cons
  • Expensive for most use cases
  • Best for well-specified tasks — struggles with ambiguity
Pros & Cons — Ollama
Pros
  • Completely free and private — no data leaves your machine
  • Simple one-command model installation
  • Works with virtually every LLM tool via API
Cons
  • Requires capable hardware (8GB+ RAM, GPU recommended)
  • Model quality below cloud frontier models
Key Features — Devin
  • Autonomous end-to-end engineering
  • Own browser, terminal & editor
  • Long-horizon task completion
  • Bug fixing & test writing
  • GitHub integration
Key Features — Ollama
  • Run LLMs locally (LLaMA, Mistral, etc)
  • Simple CLI interface
  • Local REST API for integrations
  • GPU acceleration (Mac, NVIDIA, AMD)
  • Model library with 100+ models
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