Self-Hosted Claude Alternative
Claude is Anthropic’s family of AI models and the assistant built on them. The current lineup is Claude Fable 5.1, Opus 5.5 (released 22 September 2026), Sonnet 5.5 (28 September 2026) and Haiku 4.5, and Anthropic positions Opus 5.5 for long-running agentic coding and knowledge work. Businesses use Claude through the Claude apps on Team and Enterprise plans, through Claude Code, and through the Claude API, Amazon Bedrock, Google Cloud and Microsoft Foundry (verified October 2026).
Why enterprises look beyond Claude
A search for a self-hosted Claude usually asks for two things at once: the model your teams already like using, and a deployment inside your own network. Anthropic does not offer the second. Claude is served from Anthropic’s infrastructure or from AWS, Google Cloud and Microsoft Azure, and even Claude Code’s self-hosted environments send each session to api.anthropic.com for inference. A self-hosted alternative therefore means a different model: open-weight families such as Qwen, DeepSeek, Mistral or Llama on your own GPUs, with the chat, document and coding experience built around them.
No on-premises or air-gapped Claude
Every supported route to Claude ends in a hosted service: Anthropic’s apps and API, Amazon Bedrock, Claude Platform on AWS, Google Cloud’s Agent Platform or Microsoft Foundry. A network with no outbound path, or a contract that keeps data off third-party clouds, rules out all of them.
Your documents travel with each question
Grounded answers need passages from internal documents in the model’s context. With a hosted model, every retrieved excerpt from a contract, ticket or patient file crosses to the provider along with the question. When retrieval and the model both run on your servers, those excerpts stay put.
One vendor sets the lineup
Anthropic decides which models exist and when they retire: Opus 5.5 is committed until at least 22 September 2027 on Anthropic-operated platforms, and Bedrock and Google Cloud set their own dates (verified October 2026). Open weights on your servers stay until you replace them, and each use case can run its own model.
When Claude is the right choice
An honest alternative page tells you when not to migrate. Stay with Claude when:
- You need the most capable model available for hard reasoning or long-running agentic coding, the work Anthropic builds Fable 5.1 and Opus 5.5 for.
- Processing in Anthropic’s cloud, or in your existing AWS, Google Cloud or Azure tenancy, is acceptable under commercial terms that exclude training by default.
- You would rather not plan or run GPU capacity, and want each new Claude release without hardware or upgrade work of your own.
- Your developers already work in Claude Code, and the repositories they use are cleared for a cloud model.
Claude → VDF AI, capability by capability
| Capability | Claude | VDF AI (self-hosted) |
|---|---|---|
| Chat assistant | Claude apps on web, desktop and mobile, with Projects and memory | VDF AI Chat with HTML artifacts, Mermaid diagrams, code blocks and voice dictation |
| Models | Claude only: Fable 5.1, Opus 5.5, Sonnet 5.5, Haiku 4.5 | Open-weight Qwen, DeepSeek, Mistral or Llama, or any OpenAI-compatible endpoint, set per agent |
| Where inference runs | Anthropic, or Claude on Bedrock, Claude Platform on AWS, Google Cloud or Foundry | Your data centre, a sovereign cloud region or an air-gapped enclave |
| Company knowledge | Connectors and enterprise search, processed in Anthropic’s cloud | Private RAG with source permissions applied at query time and cited answers |
| Coding | Claude Code in the terminal, IDE, desktop app and browser, on Claude models only | VDF Code for VS Code, JetBrains IDEs, Visual Studio and Neovim, on models you host |
| Training and retention | Commercial terms: no training unless you opt in; 30-day standard retention for Claude Code, zero retention for qualified accounts | Chat history and logs in storage you control, under your own retention policy |
| Identity and access | SSO on Team; role-based permissions, SCIM and audit logs on Enterprise | Microsoft Entra ID SSO built in on-premises, other IdPs via an SSO-aware reverse proxy; RBAC on every plan |
| Audit evidence | Audit logs and a compliance API on Enterprise | Append-only record per turn: identity, agent, model version, retrieved chunks, tool calls; SIEM export |
How teams move off Claude
List what people use Claude for today (drafting, analysis of uploaded files, research, coding) and mark which tasks touch confidential data.
Size the first deployment. VDF’s planning estimate for a 50–200 user chat pilot is one 48–80 GB GPU serving a quantised 7B–14B open-weight model.
Deploy VDF AI Chat on-premises, in a sovereign region or air-gapped, with Microsoft Entra ID sign-in (Okta, Keycloak and other providers through an SSO-aware reverse proxy) and role-based access per agent.
Connect the first knowledge sources with their access lists intact, so each answer cites only documents the asking user could already open.
Move coding work to VDF Code in VS Code, JetBrains IDEs, Visual Studio or Neovim, pointed at code models you host.
Keep Claude where policy allows it: enable the Anthropic API on specific agents for approved, non-confidential work, and leave it off in on-premises and air-gapped deployments.
Claude alternative questions
Can you self-host Claude?
No. Anthropic offers Claude only as a hosted service: through its own apps and API, Amazon Bedrock, Claude Platform on AWS, Google Cloud’s Agent Platform (formerly Vertex AI) and Microsoft Foundry (verified October 2026). Even Claude Code’s self-hosted environments, which keep repository checkouts on your machines, send session content to api.anthropic.com for inference. Running AI on your own hardware means choosing an open-weight model instead.
What is the best self-hosted alternative to Claude?
It depends on the work. For chat, writing and questions about company documents, the usual replacement is a private assistant such as VDF AI Chat running an open-weight model (Qwen, DeepSeek, Mistral or Llama) on your servers, with answers drawn from your own sources and filtered by each user’s permissions. For software work, pair a code model you host with an IDE assistant such as VDF Code. Shortlist two or three models and test them on real tasks before you choose.
Is there a self-hosted alternative to Claude Opus?
Not the same model. Anthropic positions Opus 5.5 for long-running agentic coding and knowledge work, and Fable 5.1 for the hardest reasoning (verified October 2026); treat no open-weight model as an equivalent until it passes your own tests. Memory needs grow with model size, so the largest open-weight models need multi-GPU servers. Match model to task: a mid-size model for drafting, summaries and document Q&A, the largest your hardware allows for complex coding.
Is there a self-hosted Claude Code alternative?
Claude Code runs on the developer’s machine, but its prompts, outputs and the file contents it reads go to a Claude model at Anthropic or a cloud provider, and Anthropic does not support routing it to non-Claude models through any gateway (verified October 2026). Two routes keep inference on your own servers: an open-source terminal agent such as OpenCode pointed at a local model server, or VDF Code for completions, chat, edits and pull-request review on models you host. Our guide to local coding LLMs compares the models with Claude.
Does Anthropic train Claude on our company data?
Not under commercial terms. For Team and Enterprise plans, the API and Claude on cloud platforms, Anthropic does not train models on prompts or code unless the customer opts in. Its Claude Code documentation gives 30 days as standard retention for commercial accounts, Enterprise adds custom retention controls, and zero data retention is available to qualified accounts (verified October 2026). Free, Pro and Max accounts are used for training when that setting is on, so personal accounts are the exposure to watch.
Can we use Claude and a self-hosted model side by side?
Yes. In VDF AI Chat, the model is a per-agent setting: an agent for public or approved data can call the Anthropic API where policy allows, while agents for confidential work run open-weight models on your own GPUs. Commercial APIs can be switched off entirely for on-premises and air-gapped deployments, and each turn’s audit record names the model version that answered.
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