Most multi-AI tools follow the same business model: you sign up, pick a plan, and the service proxies your requests through their servers. That's fine until you start thinking about what it means — your prompts are touching someone else's infrastructure, you're paying a markup on top of your actual API costs, and you're locked into whatever models they decide to support.
AiHubDash was built on a different premise: bring your own keys, keep your own data, pay nothing to the platform. Here's what that looks like in practice.
How it works
AiHubDash is a static web app — no backend server, no database, no account system. When you open it and enter your API keys, those keys are stored in your browser's local storage. When you send a prompt, your browser talks directly to the OpenAI API, Anthropic API, Google API, or xAI API. The traffic never passes through AiHubDash servers because there aren't any.
This architecture has a few practical consequences:
- You pay only what the model providers charge — no middleman markup
- Your prompts and responses are private by default
- There's no account to create, no email to verify, no subscription to manage
- The tool works as long as your API keys work — it doesn't depend on AiHubDash staying in business
Core features
Broadcast mode
Type once, send to all active models simultaneously. Responses stream in parallel so you're never waiting.
Side-by-side layout
Each model gets its own column. Compare structure, length, tone, and accuracy at a glance.
Ollama support
Connect a local Ollama instance alongside cloud models. Run Llama 3 next to Claude in the same layout.
Relay mode
Chain models together — the output of one becomes the input of the next. Good for iterative refinement.
Debate mode
Set models up to argue different sides of a question. Useful for stress-testing ideas or exploring tradeoffs.
No data retention
Nothing is stored server-side. Close the tab, your conversation is gone. Reopen, start fresh.
What it costs
Using AiHubDash itself costs nothing. You'll pay for the API calls you make to model providers, billed directly to your accounts with them. For casual use — a few dozen prompts a day — API costs are typically under a dollar per day across all models combined. Heavy users doing serious research might see $5–20/month depending on the models and prompt length.
The math compares favorably to subscription-based multi-model tools, which typically charge $20–30/month on top of API costs (or use shared API capacity that's slower and rate-limited).
Which models are supported
- ✓OpenAI: GPT-4o, GPT-4 Turbo, GPT-3.5 — any model on your OpenAI API plan
- ✓Anthropic: Claude 3.5 Sonnet, Claude 3 Opus, Claude 3 Haiku, and newer releases
- ✓Google: Gemini 1.5 Pro, Gemini 1.5 Flash, and later models
- ✓xAI: Grok-1, Grok-1.5, and newer versions
- ✓Local (Ollama): Any model you've pulled locally — Llama 3, Mistral, Phi-3, Qwen, etc.
Who it's for
The tool was built with a few specific types of users in mind:
Researchers and analysts
If you're doing serious work where the quality of AI-assisted analysis matters, running the same question through multiple models and comparing answers is a form of intellectual due diligence. AiHubDash makes that fast enough to do routinely rather than occasionally.
Developers evaluating models
When you're deciding which model to use in a product, systematic side-by-side testing beats reading third-party benchmarks. You can test with your actual prompts rather than standardized eval sets that may not reflect your use case.
Privacy-conscious professionals
Lawyers, healthcare workers, financial analysts — anyone handling sensitive information who still wants AI assistance. The BYOK architecture means no sensitive content passes through a third-party server.
Writers and content creators
Different models have genuinely different writing styles. Having them side-by-side lets you pick the best output or blend elements from multiple responses rather than committing to one model's take.
Try it now — no signup needed
Open the dashboard, add your API keys, and start comparing models in under 2 minutes.
Open AI Hub Free →The no-account thing is intentional
Most tools treat "no account required" as a temporary onboarding state before they funnel you into signup. AiHubDash doesn't have an account system to funnel you into. The dashboard is the product. You open it, it works, you close it when you're done.
That might feel unusual in 2026 when everything wants your email address. It's a deliberate choice: the tool should be useful immediately, and your usage patterns shouldn't be someone else's data asset. If that model works for you, the tool is free. If you want to share feedback or follow development, there's a newsletter signup on the main site — that's as deep as the relationship needs to go.