Devin vs Ollama
Side-by-side comparison to help you choose the best tool.
Devin
paidDevin 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.
Ollama
freeOllama 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.
| Feature | Devin | Ollama |
|---|---|---|
| Pricing | paid | free |
| Category | - | - |
| Rating | 4.3 | 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 |
| 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
- 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
- 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
- Autonomous end-to-end engineering
- Own browser, terminal & editor
- Long-horizon task completion
- Bug fixing & test writing
- GitHub integration
- 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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