A
AIverse
← Back
Compare

Devin vs Ollama

Cognition's fully autonomous AI software engineer. You assign a ticket and Devin plans, codes, tests and ships it in its own cloud environment, working through a backlog of well-defined tasks like a junior developer.

Winner: Ollama(⭐ 4.8)

🧠 Expert verdict

Our expert verdict: Ollama is the stronger all-round choice, scoring 4.8/5 versus 4.3/5 for Devin, and it stands out for "Run top open models locally in one command". Choose Ollama if you want the best code tool overall, especially for running llms offline; pick Devin if "Fully autonomous end-to-end on a ticket" matters more for your workflow.

Devin

Cognition's fully autonomous AI software engineer. You assign a ticket and Devin plans, codes, tests and ships it in its own cloud environment, working through a backlog of well-defined tasks like a junior developer.

Visit Devin

Ollama

The most popular way to run open LLMs locally. Ollama (170K+ GitHub stars) lets you download and run models like Llama, Mistral, Qwen, DeepSeek and Phi on your own machine with a single command — private, offline, and free.

Visit Ollama
CriteriaDevinOllama
Rating
4.3/5
4.8/5
Pricing
From $20/mo (ACU usage) / Team $500/mo
Free / Open Source
Category
code
code
Popularity
📈 High
🔥 Very High
Value for Money
⭐ Paid only
⭐⭐⭐ Excellent
📅 Release Date
Mar 2024
2023
🔄 Last Update
Jun 2026
Aug 2026
Company
Cognition
Ollama
Founded
2024
2023
API Access
Yes
Yes
Mobile App
No
No

Devin

Pros

  • +Fully autonomous end-to-end on a ticket
  • +Own cloud workspace with browser & terminal
  • +Great for large backlogs of defined tasks
  • +Slack and IDE integrations
  • +Parallelizes across many tasks

Cons

  • No free tier
  • Usage-based ACU pricing adds up fast
  • Best value only when kept constantly busy
  • Struggles on ambiguous or novel work

Ollama

Pros

  • +Run top open models locally in one command
  • +170K+ GitHub stars
  • +Fully private & offline
  • +Free and open source
  • +Works on Mac, Windows and Linux

Cons

  • Needs a decent CPU/GPU for big models
  • Command-line first (pair with a UI)
  • No hosted cloud option
  • Large models need lots of RAM

🎯 Best forDevin

Clearing a backlog of defined ticketsMigrations and refactorsTest writing and bug fixingParallel task automation

🎯 Best forOllama

Running LLMs offlinePrivate local AIDeveloper prototypingOn-device inference

🏷️ TagsDevin

Coding AgentAutonomousSoftware EngineerCloudTickets

🏷️ TagsOllama

Open SourceLocal LLMPrivacyCLI

Our Verdict

After comparing ratings, pricing and features, Ollama comes out ahead with a 4.8/5 rating. It is the better choice for most users.

Expert take on each tool

📌 Devin

Devin is worth it for teams with a large backlog of well-scoped tickets who can keep it busy. For most individuals, an agent like Claude Code or Codex at $20/mo offers stronger reasoning per dollar — Devin shines on volume, not on novel problem solving.

📌 Ollama

Ollama is the go-to open-source tool for running powerful LLMs on your own hardware, privately and for free. With 170K+ stars it is the backbone of the local-AI movement — pair it with Open WebUI for a full ChatGPT-style experience.

Frequently Asked Questions

Which is better: Devin or Ollama?

Ollama has the higher user rating (4.8/5 vs 4.3/5), making it the stronger overall pick. That said, Devin can still be the better fit depending on your budget and specific needs — see the full comparison above.

Is Devin or Ollama cheaper?

Ollama (Free / Open Source) is generally more budget-friendly than Devin (From $20/mo (ACU usage) / Team $500/mo). If cost is your main concern, Ollama is worth trying first — but compare the feature sets above to confirm it covers what you need.

Can I switch from Devin to Ollama?

Yes — switching between Devin and Ollama is usually straightforward since both are code tools with similar core workflows. Most users can export their data and get started with Ollama within a day; just check Ollama's free plan before committing to a paid tier.