Koala vs Alpaca
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Koala
Berkeley's 2023 dialogue-tuned LLaMA — a research-era milestone
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Alpaca
Stanford's instruction-tuned Llama model — trained on 52k GPT-generate...
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| RECATOOLS Score | 3.2 / 10 | 3.8 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Open Source | Open Source |
| Free tier | Fully free | Fully free |
| Paid from | — | — |
| Has API | ✗ | ✗ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | 100k+ downloads | 500k+ downloads |
| Founded | 2023 | 2023 |
| Maker | UC Berkeley | Stanford University |
| Verdict | Koala is a 2023 research chatbot from Berkeley's BAIR lab — a LLaMA-13B fine-tune on curated dialogue data that matched ChatGPT in about half of blind comparisons and helped establish that data quality beats data volume... |
Stanford Alpaca is a landmark 2023 research project that fine-tuned Meta's LLaMA 7B on instruction-following data generated cheaply via GPT, demonstrating that small, affordable fine-tunes could approach the behavior of... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.