Bench test · AI Coding
GPT Engineer vs Devin
Same rack, same rubric, four independent agents. Here's how they measure up — and which we'd pick.
| GPT Engineer | Devin | |
|---|---|---|
| consensus | score7.2/10 | score7.6/10 |
| agents won | 0 / 4 | 2 / 4 ▲ |
| from | Custom | Custom |
| free tier | no | no |
| category | AI Coding | AI Coding |
Agent panel — head to head
| Anthropic | 7.2 | 7.8 ▲ |
| OpenAI | 7.5 | 8.5 ▲ |
| Gemini | 7.2 | 7.2 |
| Grok | 7.0 | 7.0 |
GPT Engineer
- ✓Significantly accelerates development from concept to working code
- ✓Reduces boilerplate and repetitive coding tasks
- ✓Accessible to non-expert programmers and rapid prototyping
- —Generated code may require manual review and optimization
- —Limited understanding of complex business logic and edge cases
- —Dependency on AI model quality and potential inconsistencies
Generates complete applications from text descriptionsMulti-file code generation and project scaffoldingIterative improvement and debugging capabilitiesSupport for multiple programming languagesAutomatic code organization and structureIntegration with version control systems
Devin
- ✓Significantly accelerates development cycles
- ✓Reduces manual coding time and human errors
- ✓Handles repetitive and boilerplate code generation
- —May struggle with highly complex or novel problem domains
- —Requires oversight to ensure code quality and security
- —Limited understanding of specific business logic nuances
Autonomous code writing and executionReal-time debugging and error fixingProject planning and task breakdownIntegration with development tools and repositoriesCollaborative pair programming with humansApplication deployment capabilities
Custom · no free tier
Try GPT Engineer ▸Custom · no free tier
Try Devin ▸Verdict
Devin takes it — 7.6 to 7.2.
The panel gave Devin the edge on 2 of 4 agents.