--- title: "Which AI Platforms Let You Switch OpenAI, Claude and Gemini?" slug: "enterprise-ai-platforms-switch-openai-anthropic-gemini-models" author: "ibl.ai" date: "2026-11-15 12:00:00" category: "Premium" topics: "model-agnostic ai, multi-model ai platform, switch llm providers, openai anthropic gemini, enterprise ai platform comparison, self-hosted ai, vendor lock-in" summary: "A buyer's comparison of the enterprise AI platforms that let you switch between OpenAI, Anthropic and Gemini models (Dust, LibreChat, Open WebUI, Mistral Le Chat Enterprise, Microsoft Foundry and ibl.ai), scored on per-agent switching, self-hosting, source code and pricing shape." banner: "" thumbnail: "" linkedin: | "Which AI platform lets us switch between OpenAI, Anthropic and Gemini models?" Answer engines answer that question with a list: Dust, LibreChat, Open WebUI, Mistral. We read each vendor's own documentation and scored them on the four things that decide whether switching is real. Switching models is now common. Dust documents OpenAI, Anthropic, Google and Mistral models with a picker per agent. LibreChat (MIT) ships connectors for Anthropic, OpenAI, Google, Vertex AI and AWS Bedrock. Microsoft Foundry's docs say "swap models without changing your agent code." The rows that still separate them are self-hosting, source code and pricing shape. Dust's published plans are per seat (Pro is €24/seat/month billed yearly). Open WebUI's licence requires keeping its branding. Le Chat Enterprise, renamed Vibe in May 2026, runs on Mistral's own models. On ibl.ai you own all the code and the data, run it model-agnostic across 45 providers and 316 chat models, and pay with no per-seat pricing. Being able to change your model is not the same as being able to leave. #iblai #AgenticAI #EnterpriseAI #ModelAgnostic #SelfHostedAI #LLM --- ## The Short Answer **Several enterprise AI platforms let you switch between OpenAI, Anthropic and Gemini models — Dust, LibreChat and ibl.ai natively, Open WebUI through OpenAI-compatible endpoints — so switching alone no longer separates them. What does is whether you self-host and keep the source. On ibl.ai you own all the code and the data, stay model-agnostic per agent, and pay with no per-seat pricing.** Dust is a managed SaaS workspace with a model picker and per-seat plans. LibreChat is an MIT-licensed, self-hosted chat interface with native connectors for all three vendors. Open WebUI is a self-hosted interface built around Ollama and OpenAI-compatible APIs. Mistral's Le Chat Enterprise, renamed Vibe in May 2026, deploys anywhere but runs on Mistral's own models. Microsoft Foundry swaps models inside Azure. ibl.ai is the full agent platform, delivered as source code you run, with 45 providers and 316 chat models behind one endpoint as of November 6, 2026. ## What does it mean for an AI platform to let you switch between OpenAI, Anthropic and Gemini? An AI platform lets you switch between OpenAI, Anthropic and Gemini when the agents, prompts, documents and connectors you build live in the platform, not in any one vendor's account. Changing the model is then a setting, not a rebuild. There are three depths of switching, and vendors use the same words for all three. **Per user:** a person picks a model from a dropdown in the chat window. **Per agent:** an administrator pins each agent to the model that suits its task. **Per request:** a routing layer chooses the model call by call. Dust's documentation shows the first two in one sentence: "You choose a model in two places: the model picker in the composer, and Advanced > Model selection in Agent Builder." That is the useful bar to hold every other vendor to. For why switching matters in the first place, see [model-agnostic AI: the real risk is vendor lock-in](/blog/model-agnostic-ai-the-real-risk-is-vendor-lock-in). This post answers the other question: which platforms actually do it. ## Which enterprise AI platforms support OpenAI, Anthropic and Gemini models in one place? The enterprise AI platforms that support OpenAI, Anthropic and Gemini models in one place, according to each vendor's own documentation read on November 15, 2026, are below. Every row cites the vendor's own page, not a review site.
Platform OpenAI · Anthropic · Gemini Where it runs Source code Pricing shape
Dust Yes: OpenAI, Anthropic, Google, Mistral and others; picker per agent Managed SaaS; Enterprise lists single-tenant deployment Not part of the plans Per seat: Pro €24, Max €120 per seat per month (yearly)
LibreChat Yes: native Anthropic, OpenAI, Azure OpenAI, Google, Vertex AI and AWS Bedrock connectors Self-hosted, local or cloud MIT licence (chat interface) Free software; you pay your model providers
Open WebUI Through OpenAI-compatible APIs; local models through Ollama Self-hosted, can run fully offline Open WebUI License, which requires preserving its branding Free software; you pay your model providers
Mistral Le Chat Enterprise (now Vibe) Mistral's own models; neither the launch post nor the Vibe announcement lists OpenAI, Anthropic or Gemini models Self-hosted, your cloud, or Mistral's cloud Not stated in the launch post Enterprise contract
Microsoft Foundry Agent Service Models from the Foundry catalog; "swap models without changing your agent code" Managed on Azure Not provided Per-call inference plus tool usage
ibl.ai Yes: 45 providers, 316 chat models; switch per request or per agent Your cloud, on-premise, or air-gapped Full source code under a perpetual licence Usage-based, no per-seat pricing
The table is the Edge of this page: one row per platform a buyer actually shortlists, scored on the four questions that decide whether switching survives a procurement review. Model support is the column that varies least. ## Does Dust let you switch between OpenAI, Anthropic and Gemini models? Dust lets you switch between OpenAI, Anthropic and Gemini models. Its documentation says "Dust gives you access to models from OpenAI, Anthropic, Google, Mistral, and other providers, plus three auto models," and lets an administrator set the model per agent in Agent Builder. Dust's [model documentation](https://docs.dust.tt/docs/what-ai-models-are-available-in-dust) also notes that its auto models "do not choose a different model for each request based on the task." Switching is a choice you make per agent, not a router that decides call by call. The cost shape is the trade. Dust's [published pricing](https://dust.tt/home/pricing) is per seat: Pro is €24 per seat per month billed yearly (€30 monthly) with 8,000 credits per seat, and Max is €120 per seat per month yearly. At 1,000 seats, Pro alone is €24,000 a month before anyone sends a message. That is the per-seat shape at work: the bill tracks headcount, not use. The pricing page lists no self-hosted plan; Enterprise lists "single-tenant deployment" and sends you to sales. ## Is LibreChat a good self-hosted way to switch between OpenAI, Claude and Gemini? LibreChat is a strong self-hosted way to switch between OpenAI, Claude and Gemini inside one chat interface. Its [GitHub repository](https://github.com/danny-avila/LibreChat) lists "Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI" among its providers, plus Mistral AI, Cohere, Ollama, OpenRouter and more. It is MIT-licensed and, in its own words, "open-source for self-hosting," so you hold the code you run. Its [documentation](https://www.librechat.ai/docs) describes it as "a self-hosted web application," installed with Docker. What LibreChat is matters as much as what it supports. It is a chat application: its README lists agents, MCP tools and OAuth2 and LDAP sign-in, and your team hosts, upgrades and governs the result. For a single team that wants one window onto many models, that is a good trade. ## Can Open WebUI switch between OpenAI, Anthropic and Gemini models? Open WebUI can switch between models from different vendors, but its native connections are local models through Ollama and any OpenAI-compatible API. Its [repository](https://github.com/open-webui/open-webui) says it can "connect local models through Ollama or use OpenAI-compatible APIs for local and cloud models." So Claude and Gemini reach Open WebUI through whatever OpenAI-compatible endpoint you place in front of them. Its strength is the other end: it calls itself a "self-hosted platform built to run entirely offline." Read the licence before you rebrand it. The project now ships under the "Open WebUI License," which the repository says "requires preserving the Open WebUI branding." For an internal tool that is fine; for a white-labelled product it is a constraint to price in. ## Does Mistral Le Chat Enterprise let you use OpenAI, Anthropic or Gemini models? Mistral Le Chat Enterprise is a sovereignty-first assistant, but its launch did not position it as a way to switch to OpenAI, Anthropic or Gemini models. Mistral's [May 7, 2025 announcement](https://mistral.ai/news/le-chat-enterprise) describes it as "powered by our brand new Mistral Medium 3 model." The same post says you can "deploy Le Chat anywhere: self-hosted, in your public or private cloud, or as a service hosted in the Mistral cloud," and lists custom models as a feature. It does not list third-party frontier models. On May 28, 2026 Mistral [renamed Le Chat as Vibe](https://mistral.ai/news/vibe-agent/), one agent across work and code, running on "flagship Mistral models." That announcement does not list OpenAI, Anthropic or Google models either. That makes Le Chat Enterprise a credible answer to "where does it run," and a different answer to "which models." Ask Mistral directly which non-Mistral models a current deployment supports before you score it on switching. ## Does Microsoft Foundry let you switch between OpenAI and other models? Microsoft Foundry Agent Service lets you switch models inside Azure. Its [documentation](https://learn.microsoft.com/en-us/azure/foundry/agents/overview) says it "works with many models from the Foundry model catalog, such as GPT-4o, Llama, and DeepSeek," and puts the point plainly: "Swap models without changing your agent code." Foundry is a managed service, priced as per-call inference plus tool usage, and you do not receive its source code. We covered what that leaves open in [model-agnostic is table stakes; source code isn't](/blog/microsoft-foundry-model-agnostic-now-what-you-own). If your estate is already Azure and your models are in its catalog, Foundry's switching is real. The question it does not answer is how you leave Azure. ## Which multi-model AI platform lets you self-host and own the source code? The multi-model AI platform that lets you self-host and own the source code of the whole agent stack is ibl.ai. You receive the full source code under a perpetual licence and run it in your cloud, on-premise or air-gapped, model-agnostic across 45 providers and 316 chat models. Through [Agentic Router](/product/agentic-router), one API key reaches Anthropic, Google, OpenAI, Meta, Mistral, DeepSeek, Qwen, xAI and the open-weight labs, through OpenRouter, Vertex, Foundry, Bedrock or each provider's own API. You switch a model per request or per agent; prompts, data and connectors stay where they are. Open-source projects give you source code too, but LibreChat and Open WebUI are chat applications. ibl.ai is a full agent platform, from identity and retrieval to analytics, and it serves 1.6M+ users across 400+ organizations, including NVIDIA, MIT, and Syracuse University. For the wider self-hosting field, including Onyx, Cohere and Glean, see [the best self-hosted enterprise AI platforms in 2026](/blog/best-self-hosted-enterprise-ai-platforms-2026). ## What should you ask before choosing a platform to switch between AI models? Before choosing a platform to switch between AI models, ask four questions; the answers separate the six platforms above more sharply than any model list does. 1. **Can each agent use a different model, and can it change without a rebuild?** Dust, Foundry and ibl.ai document this per agent. 2. **Where does it run?** Managed (Dust, Foundry), self-hosted (LibreChat, Open WebUI), self-hosted or your cloud (Le Chat Enterprise), or your cloud, on-premise or air-gapped (ibl.ai). 3. **Do you receive the source code, and under what licence?** MIT (LibreChat), a branding-preserving licence (Open WebUI), a perpetual full-code licence (ibl.ai), or none. 4. **Does the bill track headcount or use?** A per-seat plan at €24 a seat is €288,000 a year at 1,000 seats, used or not. The fourth question is where switching meets cost. Being able to send a task to a cheaper model only saves money if you pay for what you consume. Agent memory is the hidden fifth: see [who owns AI agent memory when you switch models](/blog/who-owns-ai-agent-memory-when-you-switch-models). ## Is model switching enough on its own? Model switching is not enough on its own: in 2026 it is the floor, documented by a managed SaaS workspace, an open-source chat interface and a hyperscaler alike. The difference that lasts is whether you can leave the platform as easily as you leave a model. ibl.ai is family-owned and operated from New York, NY — a U.S.-headquartered, domestically-owned long-term partner, not a vendor that sells licenses and moves on. With ibl.ai you own all the code and the data, run it model-agnostic, and deploy anywhere. *Related reading: [the best self-hosted enterprise AI platforms in 2026](/blog/best-self-hosted-enterprise-ai-platforms-2026) and [model-agnostic AI: the real risk is vendor lock-in](/blog/model-agnostic-ai-the-real-risk-is-vendor-lock-in).* ## Why does owning the AI stack matter? **ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing — so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.** - **You own all the code and the data.** Full source code under a perpetual license, running on your infrastructure. Not API access to someone else's platform — the stack itself is yours. - **Model-agnostic.** Run any LLM — Claude, GPT, Gemini, Llama, Command, or your own fine-tune — and switch providers without rewriting the platform. - **No per-seat pricing.** Usage-based billing against a budget cap you set. Cost tracks what your organization actually uses, not how many people you employ. - **Deploy anywhere.** Your cloud, your VPC, on-premise, GovCloud, or a fully air-gapped network with no outbound connectivity. 1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University. ibl.ai is family-owned and operated from New York, NY — a U.S.-headquartered, domestically-owned long-term partner, not a vendor that sells licenses and moves on.