Bench test · AI Coding
LLaMA Code Models vs Devin
Same rack, same rubric, four independent agents. Here's how they measure up — and which we'd pick.
| LLaMA Code Models | Devin | |
|---|---|---|
| consensus | score8.2/10 | score8.2/10 |
| agents won | 2 / 4 ▲ | 1 / 4 |
| from | Custom | Custom |
| free tier | no | no |
| category | AI Coding | AI Coding |
Agent panel — head to head
| Anthropic | 7.2 | 8.2 ▲ |
| OpenAI | 8.5 | 8.5 |
| Gemini | 9.0 ▲ | 8.5 |
| Grok | 8.2 ▲ | 7.5 |
LLaMA Code Models
- ✓Free and open-source with no licensing costs
- ✓Community support and active development
- ✓Can be self-hosted and customized
- —May require technical setup and infrastructure
- —Performance varies by model size and hardware
- —Smaller community compared to proprietary alternatives
Code generation and synthesisMulti-language programming supportOpen-source and customizableInference optimization for efficiencyIntegration with development environmentsFine-tuning capabilities
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 LLaMA Code Models ▸Custom · no free tier
Try Devin ▸Verdict
Dead heat — both land at 8.2. Pick on price and fit.