Bench test · AI Coding
LLaMA vs Windsurf
Same rack, same rubric, four independent agents. Here's how they measure up — and which we'd pick.
| LLaMA | Windsurf | |
|---|---|---|
| consensus | score7.9/10 | score7.9/10 |
| agents won | 2 / 4 ▲ | 1 / 4 |
| from | Free | Free |
| free tier | yes | yes |
| category | AI Coding | AI Coding |
Agent panel — head to head
| Anthropic | 7.8 | 7.8 |
| OpenAI | 7.1 | 8.2 ▲ |
| Gemini | 8.8 ▲ | 8.3 |
| Grok | 7.8 ▲ | 7.3 |
LLaMA
- ✓Runs on consumer-grade hardware with good performance
- ✓Fully open-source enabling community contributions
- ✓Competitive results compared to larger proprietary models
- —Requires technical expertise for setup and deployment
- —Less refined than some commercial alternatives
- —License restrictions on commercial use (original version)
Multiple model sizes (7B to 65B parameters)Open-source and freely availableOptimized for inference efficiencyStrong coding and reasoning capabilitiesSupport for multiple programming languagesFine-tuning friendly architecture
Windsurf
- ✓Handles large-scale code changes efficiently
- ✓Understands project context better than basic AI assistants
- ✓Reduces manual refactoring and boilerplate work
- —Requires learning new agentic workflow paradigm
- —May produce unexpected changes without careful prompting
- —Limited availability and integration compared to established editors
Autonomous code modification across entire projectsCodebase-aware AI understandingMulti-file editing and refactoringNatural language code instructionsReal-time collaboration featuresDeep IDE integration
Free · free tier
Try LLaMA ▸Free · free tier
Try Windsurf ▸Verdict
Dead heat — both land at 7.9. Pick on price and fit.