Bench test · AI Search
Arc Search vs Llama.cpp Web UI
Same rack, same rubric, four independent agents. Here's how they measure up — and which we'd pick.
| Arc Search | Llama.cpp Web UI | |
|---|---|---|
| consensus | score7.0/10 | score6.7/10 |
| agents won | 1 / 4 | 2 / 4 ▲ |
| from | Free | Free |
| free tier | yes | yes |
| category | AI Search | AI Search |
Agent panel — head to head
| Anthropic | 7.2 | 7.2 |
| OpenAI | 7.2 | 7.8 ▲ |
| Gemini | 8.0 ▲ | 3.0 |
| Grok | 5.5 | 8.8 ▲ |
Arc Search
- ✓Faster answers without browsing multiple sites
- ✓Seamless browser experience
- —Limited source transparency in summaries
- —Potential accuracy issues from AI synthesis
Multi-source information aggregationAI-powered answer synthesisNative browser integrationReal-time web data processingReduced search result clutter
Llama.cpp Web UI
- ✓Complete privacy - data stays local
- ✓No API costs or usage limits
- ✓Works offline with decent hardware
- —Requires significant local compute resources
- —Slower inference than cloud services
- —Limited to available model formats and sizes
Web-based chat interfaceSupport for quantized models (GGUF format)Local processing with no internet requiredModel management and switchingCustomizable inference parametersCPU and GPU acceleration support
Free · free tier
Try Arc Search ▸Free · free tier
Try Llama.cpp Web UI ▸Verdict
Arc Search takes it — 7 to 6.7 (a photo finish).
The panel gave Arc Search the edge on 1 of 4 agents. It's close enough that Llama.cpp Web UI is a fair pick if it fits your workflow better.