Bench test · AI Coding
Continue vs LLaMA Code Models
Same rack, same rubric, four independent agents. Here's how they measure up — and which we'd pick.
| Continue | LLaMA Code Models | |
|---|---|---|
| consensus | score8.6/10 | score8.6/10 |
| agents won | 1 / 4 | 1 / 4 |
| from | Custom | Custom |
| free tier | no | no |
| category | AI Coding | AI Coding |
Agent panel — head to head
| Anthropic | 8.2 ▲ | 7.8 |
| OpenAI | 8.5 | 8.5 |
| Gemini | 9.0 | 9.5 ▲ |
| Grok | 8.5 | 8.5 |
Continue
- ✓Open-source and privacy-focused
- ✓Works offline with local models
- ✓Flexible integration with multiple AI providers
- —Requires manual setup and configuration
- —Performance depends on selected model quality
- —Smaller community compared to GitHub Copilot
AI code completion and generationSupport for multiple LLM providersLocal and cloud model optionsCode refactoring and documentationChat-based code assistanceCustomizable prompts and workflows
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
Custom · no free tier
Try Continue ▸Custom · no free tier
Try LLaMA Code Models ▸Verdict
Dead heat — both land at 8.6. Pick on price and fit.