InCoder vs CodeLlama
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
InCoder
Open-source code infilling model — generates code in the middle of exi...
Visit
|
CodeLlama
Meta's 2023 open-weight code models, now archived but still usable.
Visit
|
|
|---|---|---|
| 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 | Fully free | Free to download |
| Paid from | — | — |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | 50k+ downloads | 1m+ downloads |
| Founded | 2022 | 2023 |
| Maker | Meta / FAIR | Meta Platforms |
| Verdict | InCoder earns its place as a historical entry: it's the 2022 Meta AI research model that helped make fill-in-the-middle code generation standard practice, released as open 1.3B and 6.7B checkpoints on Hugging Face. Resea... |
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 → |
← Back to AI Directory
Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.