Multimodal models companies, products & suppliers

Foundation models that accept or emit more than one modality as the model SKU. Jobs: image-and-text backends; audio-and-text models; developer multimodal apis.

What are Multimodal models?

Foundation models that accept or emit more than one modality as the model SKU. Jobs: image-and-text backends; audio-and-text models; developer multimodal apis.

What problems does it solve?

The buyer needs one model identity that spans text and media, not a chat wrapper.

Typical business use cases

  • Image-and-text backends
  • Audio-and-text models
  • Developer multimodal APIs

Important capabilities

  • Input modalities
  • Output modalities
  • Context limits

What buyers should evaluate

  • Exact model id
  • Media retention
  • Safety filters

Risks and governance considerations

Media from production logged against a moving model name.

Procurement checklist

  • Pinned id
  • Media policy
  • Safety

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

Products and providers

Open a product profile for its catalogue details, or use the provider link for the company profile. Claimed listings appear first, then by name. Payment never changes the order.

  • By Alibaba Cloud

    Alibaba Cloud offers a integrated suite of cloud products and services that are reliable and secure, to help you build cloud infrastructure, data centers in multi regions empower y

  • By Amazon Web Services

    Amazon Nova Pro is a multimodal understanding model in the Amazon Nova family on Amazon Bedrock. It processes text, images and video to answer questions, analyse documents and medi

  • By Anthropic

    Anthropic is a US AI safety and research company that develops the Claude assistant family and related APIs. Claude Opus 5 is Anthropic's model API, from Anthropic, PBC. Published

  • By ByteDance

    ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures and geographies. Seed1.5-VL i

  • By Cohere

    Cohere is a Toronto-headquartered model company selling text, embed and RAG-oriented APIs for enterprises. Public pages emphasise private deployment options alongside hosted APIs.

  • By DeepSeek

    DeepSeek Chat is DeepSeek's hosted chat product at chat.deepseek.com. The company site is deepseek.com. It is a hosted assistant, not a downloaded desktop suite. DeepSeek-VL2 is De

  • By Google

    Google is a US technology company that sells consumer and cloud AI products, including Gemini, Search, and related developer APIs on Google Cloud. Gemini 3.5 Flash is Google's mode

  • By Meta

    Meta Platforms sells family-of-apps advertising products and open Llama models. Public AI pages cover research models, Llama releases and developer tooling. Llama 4 Maverick is Met

  • By 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 Small

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 Multimodal models?

Foundation models that accept or emit more than one modality as the model SKU. Jobs: image-and-text backends; audio-and-text models; developer multimodal apis.

What should not be listed as Multimodal models?

Products whose buyer job is multimodal chat apps, vision-only models, or embedding models. Those belong on their own category page so search queries are not split.

Has AI Trustmark independently assessed every Multimodal models supplier?

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

What are Multimodal models?

Foundation models that accept or emit more than one modality as the model SKU. Jobs: image-and-text backends; audio-and-text models; developer multimodal apis.

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.