Bench test · AI Coding
Devin vs Code Llama
Same rack, same rubric, four independent agents. Here's how they measure up — and which we'd pick.
| Devin | Code Llama | |
|---|---|---|
| consensus | score6.4/10 | score6.7/10 |
| 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 ▲ | 6.2 |
| OpenAI | 7.1 ▲ | 6.8 |
| Gemini | 6.3 | 8.4 ▲ |
| Grok | 4.5 | 5.2 ▲ |
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
Code Llama
- ✓Open-source and freely available for commercial use
- ✓Strong performance on diverse programming languages
- ✓Efficient smaller models suitable for edge deployment
- —Requires computational resources for local deployment
- —May produce lower quality output than proprietary models like GPT-4
- —Limited real-time training updates compared to closed-source alternatives
Multi-language code generationCode completion and infillingNatural language to code conversionBug detection and debugging assistanceAvailable in multiple model sizes (7B, 13B, 34B parameters)Instruction-following variants for conversational use
Pricing on their site
Try Devin ▸Free · free tier
Try Code Llama ▸Verdict
Code Llama takes it — 6.7 to 6.4 (a photo finish).
The panel gave Code Llama the edge on 2 of 4 agents. It's close enough that Devin is a fair pick if it fits your workflow better.