OLMo by AllenAI
Fully open-source LLM family from AI2
Overview
OLMo (Open Language Model) is AllenAI's fully-open LLM family — open weights, training data, training code, evals. The most-radically-open frontier-class model release of 2024. Apache 2.0 license.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 20 May 2026 and may be out of date or incomplete.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.
Use cases
ASEAN Perspective
OLMo by AllenAI 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).
OLMo from the Allen Institute for AI is one of the few genuinely open language models — releasing not just weights but training data, code and logs — making it invaluable for research, reproducibility and auditing. As a model family it is a transparency benchmark and a solid base for fine-tuning, even if raw capability trails the top proprietary and semi-open frontier models.
It suits researchers, academics and organisations that need a fully inspectable, license-clean model rather than the absolute strongest one. Caveats: it is not a product or hosted service (no API of its own — you run it via Hugging Face/Ollama/etc.), and end users wanting a chatbot should look elsewhere. Free under a permissive license; usable globally including ASEAN for self-hosting.
About this listing
This entry was compiled from publicly available data including OLMo by AllenAI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with OLMo by AllenAI 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 Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to OLMo by AllenAI directly →
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