Which models can I use?

Frontier models from Anthropic, OpenAI, and Google, plus the most powerful open-source models — DeepSeek, Qwen, and Kimi (Moonshot). Pick a planning model and a coding model from a dropdown; the Model Router is pre-wired, so there are no provider API keys to set up.

Why run agents on open-source models?

Agents consume far more tokens than a chat session — they plan, call tools, read results, and iterate over many steps. Running that volume on cost-effective open-source models cuts the bill dramatically, and you can still reach for a frontier model on the steps that need it.

If I switch models, do I lose my work?

No. The model is a setting under your agent. Switch it and the same agent keeps running — your tasks, history, and memory carry over. There is nothing to migrate or re-set-up.

No. The Model Router is wired in across commercial and open models, so there are no provider keys to manage. You can connect your own LLM accounts later if you want direct provider control.

What are the latest:* aliases?

Instead of pinning a specific model version, reference an alias like latest:deepseek or latest:gpt. The Model Router resolves it to the current pinned version of that family, so you pick up new releases without changes.

Model Router

Every model, pre-wired. Swap anytime.

Agents burn through tokens to get real work done. Run them on efficient, low-cost open-source models to keep spend under control, then switch to a frontier model the moment a task needs more power — all pre-wired, swap anytime.

Download for macOS Download for Windows

Selecting models in MindsHub Cowork — the Model Router is pre-wired. Pick a planning model and a coding model from a dropdown, and tune the reasoning effort per model.

Why it matters

The right model for each job — without the busywork.

Model choice is where agents quietly win or lose on cost and quality. MindsHub makes it a dropdown, not a project.

Cost

Control spend with open-source models

Agents burn through far more tokens than a chat session — they plan, call tools, read what comes back, and iterate over many steps. Run that volume on efficient, low-cost open-source models like DeepSeek, Qwen, and Kimi, and the bill drops sharply versus frontier pricing.

Power on demand

Reach for a frontier model when it matters

Some steps deserve the best reasoning available. Switch to a frontier model for the hard part and back again when you're done — the agent stays the same, every task still runs, and your history and memory carry over. Nothing to migrate.

Control

One place to manage it — no API keys

The Model Router is pre-wired across providers, so there's nothing to set up. Pick a planning model and a coding model from a dropdown, set the reasoning effort, and you're done — no juggling provider accounts or per-provider keys.

Per task Coming soon

Swap models on the task level

Today the model applies across your work. Choosing a different model — and a different agent — for an individual task is on the way, so you can match each job to the right engine.

The lineup

From frontier to open-source — one router.

Mix commercial and open models freely. The Model Router sends each step to the model you choose and keeps versions current with latest:* aliases.

Anthropic Frontier
OpenAI Frontier
Google Frontier
DeepSeek Open-source
Qwen Open-source
Kimi (Moonshot) Open-source

FAQ

Questions about models.

Which models can I use?: Frontier models from Anthropic, OpenAI, and Google, plus the most powerful open-source models — DeepSeek, Qwen, and Kimi (Moonshot). Pick a planning model and a coding model from a dropdown; the Model Router is pre-wired, so there are no provider API keys to set up.
Why run agents on open-source models?: Agents consume far more tokens than a chat session — they plan, call tools, read results, and iterate over many steps. Running that volume on cost-effective open-source models cuts the bill dramatically, and you can still reach for a frontier model on the steps that need it.
If I switch models, do I lose my work?: No. The model is a setting under your agent. Switch it and the same agent keeps running — your tasks, history, and memory carry over. There is nothing to migrate or re-set-up.
Do I need API keys?: No. The Model Router is wired in across commercial and open models, so there are no provider keys to manage. You can connect your own LLM accounts later if you want direct provider control.
Can I pick a different model per task?: Today the model applies across your work. Choosing a different model — and a different agent — per individual task is coming soon.
What are the latest:* aliases?: Instead of pinning a specific model version, reference an alias like latest:deepseek or latest:gpt. The Model Router resolves it to the current pinned version of that family, so you pick up new releases without changes.