Llama vs OPT
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Llama
Meta's open-weight LLM family — Llama 4 landed, Behemoth didn't
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OPT
Meta's open-source language model with fully released training code an...
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| RECATOOLS Score | 8.3 / 10 | 3.8 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Open Source | Open Source |
| Free tier | Free model weights for download and local use | Fully free |
| Paid from | — | — |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | 10m+ downloads | 200k+ downloads |
| Founded | 2023 | 2022 |
| Maker | Meta Platforms | Meta Platforms |
| Verdict | 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... |
OPT was Meta's 2022 effort to give researchers a GPT-3-scale model, releasing weights up to 175B alongside the training code and a candid logbook of divergences, restarts and mid-run fixes — a transparency milestone the... |
| 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.