MaLLaM vs Sahabat-AI
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
MaLLaM
Mesolitica's from-scratch Malaysian models, free to download but unlic...
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| RECATOOLS Score | 6.5 / 10 | 6.6 / 10 |
| Capability | — | |
| Value for money | — | |
| Ease of use | — | |
| ASEAN readiness | — | |
| API quality | — | |
| Pricing | Free | Open Source |
| Free tier | Weights free to download from Hugging Face, but no licence is declared on any MaLLaM model | Free open weights on Hugging Face (v2 under the Llama 3.1 Community License) and a free app download with in-app purchases |
| Paid from | — | Rp25,000 (Sahabat-AI Pro in-app purchase on iOS Indonesia, billing period not stated) |
| Has API | ✗ | ✗ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | — | — |
| Founded | 2023 | 2024 |
| Maker | Mesolitica | Indosat Ooredoo Hutchison |
| Verdict | MaLLaM is a genuine from-scratch Malaysian model and a useful research artefact: base checkpoints from 1.1B to 5B parameters and instruction-tuned versions with a 20,480-token context, built on Malaysian text rather than... |
Sahabat-AI is the most serious open model for Indonesian and its regional languages: the v2 weights cover Javanese, Sundanese, Balinese and Batak Toba alongside Bahasa Indonesia, publish their benchmark scores, and can b... |
| 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.