Devin vs Flowise
A detailed comparison to help you choose between Devin and Flowise.
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Verdict: Flowise wins
Flowise scores 4.0/5, edging out Devin at 3.9/5. Developers and technical teams who want visual control over LLM pipelines and are happy to self-host or manage their own production runtime.
Devin The first AI software engineer | Flowise Visual LLM app builder with drag and drop | |
|---|---|---|
| Rating | 3.9 (1 review) | 4.0 (1 review) |
| Pricing Model | paid | freemium |
| Starting Price | From $500/mo | Free tier available |
| Best For | Engineering teams with a well-groomed backlog who want to delegate complete, precisely-specified tasks to an autonomous agent and keep humans on review. | Developers and technical teams who want visual control over LLM pipelines and are happy to self-host or manage their own production runtime. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | team features | open sourceno code |
| Visit Devin → | Visit Flowise → |
Devin
Pros
- + On well-specified tickets (flaky-test fix, CRUD endpoint with tests) it returned clean, convention-matching PRs I merged with light review — real time savings at $20/month
- + Sandboxed execution with test iteration is the difference from chat-based assistants: it validates its own work before opening the PR
- + Devin Review's free public-PR review at devinreview.com works without an account and is a useful standalone surface
- + Broad workflow integration — Slack, Teams, Linear, Jira, GitHub/GitLab/Bitbucket, MCP — plus automations for recurring tasks
- + Transparent plan ladder now ($0/$20/$200, Teams $80 minimum + $40/full seat) instead of the flat $500 launch price
Cons
- - Output quality tracks spec quality almost linearly: a vague refactor ticket produced an over-scoped PR I had to close and rewrite
- - Credit drift is real — automation runs and sandbox troubleshooting consume quota invisibly, and out-of-quota usage bills at API pricing
- - It implements bad tickets without pushback; review is mandatory for security-sensitive or migration work
- - Enterprise controls (VPC, SSO, dedicated support) are sales-gated, and the product surface is reshaping around the Windsurf acquisition
Flowise
Pros
- + Node canvas gives LangChain-level control over retrieval, agents, and tools without writing code — my retrieval agent took one sitting
- + Self-host path is real: npm or Docker, minutes to localhost:3000, Apache 2.0 core license
- + Human-in-the-loop review nodes make the agents-propose-humans-release pattern easy to wire
- + Wide model and vector-store support (100+ LLMs, embeddings, vector DBs per the vendor) keeps you off proprietary lock-in
- + Evaluations, metrics, and run observability are built into the builder rather than bolted on
Cons
- - Node picker presumes you understand embeddings, chains, and retrieval strategies — beginners are lost quickly
- - Production self-host means doing your own persistence, secrets, queue/workers, and uptime — time not visible in the free price
- - Enterprise identity and permission features live under a commercial license inside the same repo
- - Cloud free tier (100 predictions/month) is too small to judge real performance
- - Fast-moving node surface and uneven community templates mean upgrades can break flows
Frequently Asked Questions
Which is better, Devin or Flowise?▼
Flowise scores higher at 4.0/5 vs 3.9/5 for Devin, making it the better-rated option in our comparison.
What is the difference between Devin and Flowise?▼
Devin: Devin is an autonomous coding agent from Cognition that plans work, writes and runs code and opens pull requests, working as a cloud agent alongside an engineering team. Flowise: Flowise is an open-source visual builder for LLM applications and agents, wiring models, tools and data sources together on a canvas.
Is Devin or Flowise more affordable?▼
Devin starts at €500/mo, Flowise starts at €0/mo. Check the comparison table above for current pricing.
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