Pleias vs Apertus
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Pleias
Small open LLMs trained only on permissively licensed data
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Apertus
Switzerland's first large-scale sovereign LLM: fully open weights, dat...
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| RECATOOLS Score | 6 / 10 | 7 / 10 |
| Capability | — | |
| Value for money | — | |
| Ease of use | — | |
| ASEAN readiness | — | |
| API quality | — | |
| Pricing | Open Source | Open Source |
| Free tier | — | Fully open weights on Hugging Face; free hosted access via Swisscom and the Public AI Inference Utility |
| Paid from | — | — |
| Has API | ✗ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | — | — |
| Founded | — | — |
| Maker | — | Swiss AI Initiative (EPFL, ETH Zurich, CSCS) |
| Verdict | Pleias takes the opposite bet from the frontier labs: instead of scraping everything and scaling up, it trains small (350M to 3B parameter) models exclusively on Common Corpus, its own roughly 2-trillion-token dataset of... |
What this is for: A fully transparent, multilingual open LLM (8B and 70B) built as European sovereign infrastructure, with weights, data, and training recipes all published. Who this is for: Researchers, public institut... |
| 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.