PolyCoder vs CodeLlama
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
PolyCoder
CMU's 2022 code LLM — the first fully open Codex-era code model
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CodeLlama
Meta's 2023 open-weight code models, now archived but still usable.
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| RECATOOLS Score | 4.2 / 10 | 6.5 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Open Source | Open Source |
| Free tier | — | Free to download |
| Paid from | — | — |
| Has API | ✗ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | 50k+ downloads | 1m+ downloads |
| Founded | 2022 | 2023 |
| Maker | Carnegie Mellon University | Meta Platforms |
| Verdict | PolyCoder matters for what it opened, not what it can do today. The 2022 Carnegie Mellon model (160M to 2.7B parameters, GPT-2 architecture, 249GB of code in 12 languages) was the first code LLM to ship weights, data pip... |
Code Llama is Meta's 2023 family of open-weight code models (7B–70B, plus Python and Instruct variants) built on Llama 2, with completion, infill, and up to 100K-token context. It's free to download and self-host under t... |
| 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.