Apertus vs Latam-GPT vs Olmo by Ai2 vs Pleias
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Apertus
Switzerland's fully open LLM: weights, data and training recipes all p...
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Olmo by Ai2
Fully open LLMs: weights, data, code and checkpoints
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Pleias
Open training data and small models, now with enterprise data tools
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| RECATOOLS Score | 7 / 10 | 6.4 / 10 | 6.8 / 10 | 6 / 10 |
| Capability | — | |||
| Value for money | — | |||
| Ease of use | — | |||
| ASEAN readiness | — | |||
| API quality | — | |||
| Pricing | Open Source | Open Source | Open Source | Open Source |
| Free tier | Apache 2.0 weights free on Hugging Face; free chat via Public AI; Swiss hosts such as Swisscom and Infomaniak charge per token | Free open weights (Llama 3.1 Community License); free experimental Copuchat web chat | Free: Apache 2.0 weights and code, ODC-By training data, free Ai2 Playground chat; self-host at your own compute cost | Common Corpus, SYNTH and all Pleias models are free to download under open licences (models Apache-2.0); Synth and Stratum are in beta with no published prices |
| Paid from | — | — | — | $0 for open models and datasets, Synth and Stratum pricing unpublished (beta, by demo) |
| Has API | ✓ | ✗ | ✗ | ✗ |
| Open source | ✓ | ✓ | ✓ | ✓ |
| Free to use | ✓ | ✓ | ✓ | ✓ |
| Users | — | — | — | — |
| Founded | 2025 | — | 2024 | 2023 |
| Maker | Swiss AI Initiative (EPFL, ETH Zurich and CSCS) | CENIA (Centro Nacional de Inteligencia Artificial, Chile) | Allen Institute for AI (Ai2) | — |
| Verdict | Apertus is the model to pick when provenance matters more than leaderboard rank: weights, data and recipes are public, web opt-outs were honoured retroactively, and Apache 2.0 allows commercial use. Version 1.5 closed re... |
Latam-GPT shipped what many sovereign-AI projects only promise: downloadable 70B weights, a technical report, the training corpus and two regional benchmarks. It reports modest gains on regional factual questions over Ll... |
Olmo is the fully open option among open models: Ai2 publishes training data, post-training data, training code, intermediate checkpoints and evaluation tooling with the weights, which makes it the natural choice for res... |
Pleias' durable contribution is Common Corpus, a 2.27-trillion-token pretraining dataset built only from public-domain and permissively licensed text and accepted as an oral at ICLR 2026. Its small Apache-2.0 models suit... |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.