Bench test · AI Coding
Devin vs GPT Engineer
Same rack, same rubric, four independent agents. Here's how they measure up — and which we'd pick.
| Devin | GPT Engineer | |
|---|---|---|
| consensus | score6.4/10 | score6.4/10 |
| agents won | 2 / 4 | 2 / 4 |
| from | — | Free |
| free tier | no | yes ▲ |
| category | AI Coding | AI Coding |
Agent panel — head to head
| Anthropic | 7.8 ▲ | 6.8 |
| OpenAI | 7.1 ▲ | 6.4 |
| Gemini | 6.3 | 7.0 ▲ |
| Grok | 4.5 | 5.3 ▲ |
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
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
Pricing on their site
Try Devin ▸Free · free tier
Try GPT Engineer ▸Verdict
Dead heat — both land at 6.4. Pick on price and fit.