Phi vs Llama
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Phi
Open, efficient small language models from Microsoft Research.
Visit
|
Llama
Meta's open-weight LLM family — Llama 4 landed, Behemoth didn't
Visit
|
|
|---|---|---|
| RECATOOLS Score | 7.4 / 10 | 8.3 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Open Source | Open Source |
| Free tier | Free to download | Free model weights for download and local use |
| Paid from | — | — |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | 500k+ downloads | 10m+ downloads |
| Founded | 2023 | 2023 |
| Maker | Microsoft | Meta Platforms |
| Verdict | Phi is Microsoft Research's line of small, open-weight language models, built to prove parameter count isn't destiny. Phi-4 (14B) already matched much larger rivals on math and reasoning; the family has since grown into... |
Llama is still the backbone of the open-weight LLM ecosystem — Llama 2 and 3 built it, and Llama 4 (Scout and Maverick, shipped April 2025) kept it going, with a huge footprint on Hugging Face, Ollama, Together AI and Fi... |
| Full review → | Full review → |
← Back to AI Directory
Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.