Manus vs Devin Cost Comparison 2026
Which costs less for general-purpose agentic work at small, mid and heavy volumes?
Same $20 entry price, different jobs. Manus wins on general research / ops / data workflows metered in credits. Devin wins on coding-specific tasks that benefit from work-tracker integration. Pick by the workload, not the price.
Side by side
Manus
Manus is a credit-metered general-purpose agent: Starter $20 buys 4,000 credits. Heavy tasks (deep research, long browsing sessions) routinely consume 100+ credits each.
Where Manus wins
- General-purpose: research, data, ops, browsing, document workflows
- Free tier with 300 daily refresh credits
- Single credit unit across task types
Devin
Devin is a coding-specific managed agent: Pro $20 with quota, Max $200 with significantly higher quota, plus overage at underlying frontier-model API rates.
Where Devin wins
- Coding-specific: ticket-to-PR pipeline
- Tight work-tracker integration
- Frontier-model agnostic (OpenAI / Claude / Gemini)
Feature heatmap
Green = included on the cheapest published plan. Amber = partial or add-on. Red = not included. Grey = quote only, cannot confirm.
| Feature | Manus | Devin |
|---|---|---|
| Coding-agent specialisation | ✗ | ✓ |
| General-purpose task variety | ✓ | ◐ |
| Free tier | ✓ | ✓ |
| Credit-based metering | ✓ | ◐ |
| Work-tracker integration | ✗ | ✓ |
| Concurrent tasks at Starter | ✗ | ✗ |
Per-task cost ledgers (illustrative example, not a real company)
Switching cost
If you are on the wrong one
These are different products with overlapping price points. Switching is a workload decision, not a cost decision. A team using Manus for coding work usually finds Devin cheaper per merged PR; a team using Devin for non-coding research finds Manus cheaper per finished research deliverable.
How to validate before signing
Run a fixed test corpus across both vendors for at least 30 days, log per-interaction cost in both systems, and confirm the unit of billing (conversation, resolution, message, task) matches your accounting model before committing to an annual deal.