Pleias
French lab training small, EU-compliant open LLMs only on permissively licensed data
Overview
Pleias is a French AI lab building energy-efficient, fully open small language models for information-intensive and regulated industries. Its models are trained only on permissively licensed data with documented provenance, exceeding EU AI Act requirements, and include RAG-specialized models such as Pleias-Pico and Pleias-Nano. The lab also released Common Corpus, one of the largest openly licensed multilingual training datasets.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 4 Jun 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
ASEAN Perspective
Pleias in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Pleias takes a distinctive, principled approach: small open models trained exclusively on permissively licensed data, which is genuinely valuable for organizations worried about copyright exposure and EU AI Act compliance. The Common Corpus dataset is a notable contribution to the open ecosystem.
The models are small and aimed at RAG and regulated use rather than frontier general capability, and there is no hosted commercial API, so it is a builder-oriented option. For compliance-sensitive ASEAN teams it is a low-cost, low-risk open choice within its size class.
About this listing
This entry was compiled from publicly available data including Pleias's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Pleias unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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