Choosing an AI vendor is now one of the most important technology decisions a business makes. The model you build on affects quality, cost, data privacy and how easily you can switch later. This guide compares the leading AI vendors and suppliers in 2026, what each one is best for, and how to choose the right one for your product.
The top AI vendors at a glance
| Vendor | Main models | Best known for | How businesses access it |
|---|---|---|---|
| OpenAI | GPT models, ChatGPT | General-purpose assistants and a large developer ecosystem | OpenAI API, ChatGPT business plans, Azure |
| Anthropic | Claude (Opus, Sonnet, Haiku) | Safety focus, long documents, coding and business writing | Anthropic API, Amazon Bedrock, Google Cloud Vertex AI |
| Gemini | Multimodal models and integration with Google Cloud and Workspace | Gemini API, Vertex AI | |
| Microsoft | Azure OpenAI models, Phi small models | Enterprise security, compliance and Microsoft 365 integration | Azure AI services, Copilot |
| Amazon | Amazon Nova, plus partner models in Bedrock | One managed platform with a choice of many models | Amazon Bedrock on AWS |
| Meta | Llama (open-weight) | Models you can host and fine-tune yourself | Download and self-host, or through cloud providers |
| Mistral AI | Open-weight and commercial models | Efficient models and a European provider option | Mistral API, self-hosting, cloud marketplaces |
1. OpenAI
OpenAI makes the GPT family of models and ChatGPT. It has one of the largest developer ecosystems, with well-documented APIs for chat, text, images, speech and tool use. OpenAI models are also available through Microsoft Azure, which many enterprises prefer for security and billing.
2. Anthropic
Anthropic builds the Claude family of models, offered in different sizes (Opus, Sonnet and Haiku) to balance capability, speed and cost. Anthropic is known for its focus on AI safety, and Claude is widely used for long documents, coding and business writing. Claude is available through Anthropic’s API and through Amazon Bedrock and Google Cloud Vertex AI.
3. Google
Google develops the Gemini models, which are designed to work with text, images, audio and video. Businesses use Gemini through the Gemini API or Google Cloud’s Vertex AI, and it is integrated into Google Workspace products.
4. Microsoft
Microsoft offers OpenAI models through Azure, together with its own smaller Phi models and AI features across Microsoft 365 through Copilot. For companies already on Azure and Microsoft 365, it is often the simplest route to AI with enterprise security, compliance and identity management built in.
5. Amazon
Amazon Bedrock is a managed AWS service that gives access to Amazon’s own Nova models and to models from other providers, including Anthropic, Meta and Mistral, through one API. It suits teams already on AWS who want to compare and switch models without changing their infrastructure.
6. Meta
Meta releases its Llama models as open-weight models that companies can download, host on their own servers and fine-tune. This gives more control over data and cost, in exchange for running the infrastructure yourself or through a cloud provider.
7. Mistral AI
Mistral AI is a European AI company offering both open-weight and commercial models. Its efficient models are popular for self-hosting and with businesses that want a European provider.
Other AI suppliers to watch
Cohere (enterprise search and retrieval), xAI (Grok) and DeepSeek (open-weight models) are also active, and new models are released frequently, so it is worth reviewing your options every few months.
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How to choose the right AI vendor
- Start with the use case: chatbot, document processing, search over your own data, coding or content. Test several models on your real examples.
- Data privacy and compliance: check where data is processed, whether it is used for training, and which certifications the provider holds.
- Cost at scale: estimate usage per month; smaller models are often good enough and much cheaper.
- Speed: customer-facing features need fast responses.
- Your cloud: using AI through your existing cloud (Azure, AWS or Google Cloud) simplifies security and billing.
- Avoid lock-in: build so that you can switch models later without rewriting your product.
How businesses use AI vendors
- AI chatbots and assistants for customer support and sales
- Search over company data (retrieval-augmented generation) for policies, documents and knowledge bases
- Document processing: reading, classifying and extracting data from forms, contracts and emails
- Recommendations and personalisation inside apps
- AI agents that complete multi-step tasks using your tools and APIs
How Three Circle helps
We help businesses choose the right model and build AI features into real products. Our work includes Grant Intel, an AI SaaS that uses large language models for grant discovery and eligibility analysis, and apps with LLM features such as the MomoMi crypto wallet and the Optimized Strength fitness app with AI coaching. See our AI chatbot development services or read how much an AI chatbot costs. Rates start from $35 per hour and projects from $1,000.
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Frequently asked questions
The main AI vendors are OpenAI, Anthropic, Google, Microsoft, Amazon, Meta and Mistral AI, with Cohere, xAI and DeepSeek also active.
It depends on your use case, data privacy needs, budget and cloud platform. The best approach is to test two or three models on your own examples before you commit.
Closed models are used through the vendor’s API. Open-weight models, such as Llama and some Mistral models, can be downloaded and hosted on your own infrastructure for more control over data and cost.
Use providers that do not train on your data, access models through your existing cloud where possible, control who can use AI features, and log and review how AI is used.
Yes, if your product is built with a layer that separates your application from the model. We design AI features so models can be swapped as better or cheaper options appear.
