StableLM
Stability AI's open-source language model family — efficient models for research and commercial applications.
Overview
StableLM is the open-source language model family from Stability AI, the company best known for Stable Diffusion. The series includes models ranging from 1.6B to 7B parameters, with StableLM-2 being a significant upgrade trained on 2 trillion tokens with multilingual capability.
StableLM 2 1.6B is notable as one of the best-performing models at the 1.6B parameter scale, making it suitable for edge deployment, mobile devices, and applications where compute resources are extremely limited. It achieves surprisingly strong performance relative to its size through careful training data curation and architectural choices.
The models are released under Apache 2.0 licence for commercial use, making them accessible for building products. Stability AI's backing of StableLM reflected a strategy to compete across the AI stack — image generation, video generation, audio, and text — though financial difficulties in 2024 affected the pace of further development.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 8 May 2026 and may be out of date or incomplete.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
StableLM 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).
StableLM is Stability AI's open-source LLM family, released to give developers permissively licensed models they can run and fine-tune locally. As open foundation models they remain a legitimate option for experimentation and self-hosting where licensing freedom matters.
Honestly, StableLM has been eclipsed by more active open ecosystems — Llama, Mistral, Qwen, Gemma and DeepSeek now offer stronger benchmarks and far larger community tooling. Development momentum here has been comparatively quiet, so for most teams it is not the open model to default to in 2026. Being open, ASEAN deployment is unrestricted, but there is no managed API of note.
Notable facts
- StableLM 2 1.6B is one of the most capable models at its parameter scale, outperforming models twice its size on some benchmarks.
- Stability AI trained StableLM on over 1 trillion tokens from public and proprietary sources, larger than the original LLaMA training set.
- The name StableLM continues Stability AI's naming convention of 'Stable [modality]' — Stable Diffusion for images, StableAudio for audio, StableVideo for video.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including StableLM's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with StableLM 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 StableLM directly →
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