SLMs companies, products & suppliers

Smaller or cheaper language models for constrained cost, latency or device targets. Jobs: on-device or edge text; high-volume cheap generation; distilled task models.

What are SLMs?

Smaller or cheaper language models for constrained cost, latency or device targets. Jobs: on-device or edge text; high-volume cheap generation; distilled task models.

What problems does it solve?

A flagship LLM is too slow, costly or large for the deployment envelope.

Typical business use cases

  • On-device or edge text
  • High-volume cheap generation
  • Distilled task models

Important capabilities

  • Parameter class
  • Latency
  • Device or CPU targets

What buyers should evaluate

  • Quality vs the large model
  • Licence
  • Update cadence

Risks and governance considerations

A 'small' SKU that still sends data to a large-model host.

Procurement checklist

  • Actual runtime location
  • Eval vs LLM
  • Licence

Relevant AI Trustmark assurance

AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.

Methodology · How verification works

Companies and providers

Claimed suppliers appear first so buyers can start with listings the company has taken ownership of. Payment does not buy this order.

  • AI21

    AI21 builds Foundation Models and AI Systems for the enterprise. Power your most critical enterprise workflows with accurate, reliable, and scalable AI. AI21 publishes Jamba Large

  • Alibaba Cloud

    Alibaba Cloud publishes Alibaba Cloud PAI, Alibaba Cloud Model Studio, and Qwen Chat as named AI products. Alibaba Cloud is used for Multimodal assistants and LLMs work. Alibaba Cl

  • Anthropic

    Anthropic is a US AI safety and research company that develops the Claude assistant family and related APIs. Anthropic publishes Claude Computer Use, Claude Sonnet 5, and Claude Op

  • Google

    Google is a US technology company that sells consumer and cloud AI products, including Gemini, Search, and related developer APIs on Google Cloud. Google publishes Imagen, Gemini f

  • Hugging Face

    Hugging Face operates a model hub, inference tooling and collaboration products for machine-learning teams. Public pages cover hosting, inference endpoints and open-model distribut

  • IBM

    International Business Machines Corporation sells hybrid-cloud software, Granite models and enterprise AI tooling. Public pages distinguish IBM software and models from IBM Consult

  • Microsoft

    Microsoft Corporation sells Windows, Azure, Microsoft 365 and Copilot AI products. Public pages cover cloud, productivity and developer APIs used by enterprises and consumers. Micr

  • Mistral AI

    Mistral AI is a Paris-headquartered model company selling open-weight and hosted language models. Public pages cover APIs, model licences and enterprise deployments. Mistral AI pub

  • NVIDIA

    NVIDIA sells GPUs, CUDA software and AI enterprise stacks used for training and inference. Public pages cover data-centre, cloud and on-prem AI compute. NVIDIA publishes NVIDIA cuO

  • OpenAI

    OpenAI is a US AI research company that sells hosted assistants, APIs and developer tools, including ChatGPT and the OpenAI API. OpenAI publishes ChatGPT Work, omni-moderation, and

Products

Claimed products appear first. Ranking packs and payment do not change this list.

Related categories

Relevant procurement and assurance guides

Frequently asked questions

What is SLMs?

Smaller or cheaper language models for constrained cost, latency or device targets. Jobs: on-device or edge text; high-volume cheap generation; distilled task models.

What should not be listed as SLMs?

Products whose buyer job is flagship LLMs, embedding models, or specialist domain models. Those belong on their own category page so search queries are not split.

Has AI Trustmark independently assessed every SLMs supplier?

No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.

What are SLMs?

Smaller or cheaper language models for constrained cost, latency or device targets. Jobs: on-device or edge text; high-volume cheap generation; distilled task models.

Why do buyers need to know which model providers sit behind an AI product?

Most products depend on named models or APIs. Buyers should identify those providers, where data is sent, and who is accountable when a model version changes. A supplier that cannot name material model providers is not ready for high-assurance procurement.

How can buyers tell whether customer data is used to train models?

Ask whether prompts, files, logs or outputs are used to train, fine-tune or evaluate models, including by subprocessors. Require the contractual default, any opt-out, and whether the setting can be changed silently. Treat marketing 'we do not train' claims as unverified until evidenced.

What model or provider changes should a buyer insist on being told about?

Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.

How should buyers verify where AI customer data is processed?

Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.