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.
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.
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
Amazon Web Services is Amazon's cloud division selling compute, storage, Bedrock model hosting and related AI infrastructure. Public pages cover regional cloud services for builder
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
ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures and geographies. ByteDance pu
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.
DeepSeek publishes DeepSeek Chat, DeepSeek-R1, and DeepSeek-VL2 as named AI products. DeepSeek is used for Multimodal assistants and LLMs work. DeepSeek publishes product informati
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
Meta Platforms sells family-of-apps advertising products and open Llama models. Public AI pages cover research models, Llama releases and developer tooling. Meta publishes LlamaFir
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
Products
Claimed products appear first. Ranking packs and payment do not change this list.
- Amazon Nova Pro· Amazon Web Services
- Aya Vision 32B· Cohere
- Claude Opus 5· Anthropic
- DeepSeek-VL2· DeepSeek
- Gemini 3.5 Flash· Google
- Llama 4 Maverick· Meta
- Mistral Small 3.1· Mistral AI
- Pixtral· Mistral AI
- Qwen3-VL-8B-Instruct· Alibaba Cloud
- Seed1.5-VL· ByteDance
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.