| Feature | CrewAI | Devin |
|---|---|---|
| Free Plan | ✓ Yes | ✗ No |
| Pricing | Free / $99/mo | $500/mo |
| Rating | ★★★★★ 4.6 | ★★★★☆ 4.4 |
| Key Feature 1 | Multi-agent crews | End-to-end task autonomy |
| Key Feature 2 | Role-based agent design | Sandboxed Linux environment |
| Key Feature 3 | Sequential and parallel | Long-horizon memory |
Reach buyers comparing CrewAI and Devin. High-intent traffic, direct conversions.
CrewAI and Devin are rated almost identically by users (4.6 vs 4.4), so the right pick comes down to feature fit rather than overall quality. CrewAI offers a free plan, making it the lower-risk option to try first — Devin starts at $500/mo. Both tools are widely used by programmers, startups, enterprises — the deciding factor is usually which specific feature set matches your existing workflow.
Put CrewAI next to Devin and the differences surface fast — CrewAI is built around agents while Devin leans toward coding tools. CrewAI is best known for multi-agent crews, whereas Devin stands out for end-to-end task autonomy. On aggregate user ratings CrewAI holds a slight edge (4.6/5 vs 4.4/5), though that gap rarely decides the match on its own.
Where CrewAI pulls clearly ahead is building a research team with agents for searching, summarising, and writing. A frequent plus in reviews: Best framework for multi-agent collaboration. Devin, by contrast, is the stronger choice for implementing a complete feature from a GitHub issue or specification. In its favour: Most autonomous coding agent available. Trying to force either tool outside its lane is where teams usually get frustrated.
CrewAI is the most developer-friendly multi-agent framework — cleaner API than LangChain for agent orchestration, active community, and extensive documentation. Devin is genuinely impressive for well-scoped engineering tasks — the level of autonomous action is beyond what IDE plugins can achieve. For most teams the deciding factor is existing workflow and budget, not a marginal feature gap.
Choose CrewAI if you are focused on python developers and AI engineers building applications that require multiple specialised AI agents coordinating on complex tasks — where a single agent's capabilities are insufficient, or if a big part of your week goes to creating code review pipelines with separate analysis and testing agents. Its free tier also lets you validate the fit before paying.
Choose Devin if your priority is engineering teams wanting to offload well-defined, self-contained software tasks to an autonomous agent — particularly for implementing features from specifications, debugging issues, and modernising legacy code, especially for debugging a complex production issue autonomously by tracing through code. Note there is no free plan, so plan for a paid tier from day one.
Real-world output tracks the ratings closely: CrewAI at 4.6/5 and Devin at 4.4/5, with the difference showing up most in building a research team with agents for searching, summarising, and writing.
Learning curve is worth weighing. CrewAI has a known trade-off — Requires Python knowledge to get started. On Devin's side: Very expensive at $500/month — worth evaluating before committing if this is central to your use case. Budget a week or two to get fluent in either before judging the output.
CrewAI is the lower-risk start here: it has a genuine free plan, while Devin does not. CrewAI is priced Free / $99/mo and Devin $500/mo; map the tier you'd actually buy against your real usage before committing. The sticker price rarely tells the whole story — check seat counts and usage limits before you commit.
🚀 Ready to decide? Try both free and see which fits your workflow.
CrewAI is an open-source Python framework for orchestrating multiple AI agents working together as a team — defining agent roles, goals, and… Read the full CrewAI review →
Devin is Cognition AI's fully autonomous software engineer — it can plan, write, debug, test, and deploy code end-to-end from a natural lang… Read the full Devin review →
• Best framework for multi-agent collaboration
• Open-source codebase — self-host for full data control, audit the code, or contribute to the community
• Mirrors real team workflows naturally
• Works with any LLM (GPT-5, Claude, Gemini)
• Requires Python knowledge to get started
• Multi-agent loops can be expensive on tokens
• Most autonomous coding agent available
• Handles end-to-end task completion — especially for end-to-end task autonomy workflows where Devin consistently outperforms manual approaches
• Real-time visibility into agent actions
• Integrates natively with GitHub — especially for end-to-end task autonomy workflows where Devin consistently outperforms manual approaches
• Very expensive at $500/month — worth evaluating before committing if this is central to your use case
• Struggles with ambiguous requirements — a real limitation for power users who need those capabilities