An XDA writer ran the numbers this month on pairing a local LLM with Claude for daily coding work and reported cutting their AI subscription bill in half. That story is quietly the new normal for anyone using AI heavily. Most prompts don’t need a frontier model. Autocomplete, quick refactors, and summarizations are handled well by a local 7B or 8B. The best apps for hybrid local and cloud LLMs on desktop are the ones that let you route the easy questions to your machine and the hard ones to Claude, GPT, or Gemini, without duct-taping two chat windows together.
We tested eight apps on macOS, Windows, and Linux. The evaluation criteria were how easily the app switches between local and cloud, whether it can route automatically or only on request, and whether the local-first path stays usable when the network is down.
What to look for in a hybrid LLM app
- Multiple providers in one interface. Ollama, LM Studio, OpenAI, Anthropic, and OpenRouter in the same chat.
- Manual model switch. One keystroke or dropdown to move from local to cloud mid-conversation.
- Automatic routing. Send short prompts to local, long or coding-heavy ones to cloud based on rules.
- Local-first fallback. Works offline. The cloud provider is optional.
- API key privacy. Keys stay on your machine, not synced to a vendor.
- Cost tracking. Shows the spend per model per session, so you can see the routing pay off.
Quick comparison
| App | Best for | Platforms | Free plan | Paid tier | Rating |
|---|---|---|---|---|---|
| Continue | Editor-side AI with local+cloud routing | VS Code, JetBrains | Fully free | None | 4.8 |
| Zed | Native editor with model choice per keystroke | macOS, Linux, Windows preview | Fully free | Zed Pro from $10/mo | 4.8 |
| Aider | Terminal pair-programmer, model-agnostic | Windows, macOS, Linux | Fully free | None | 4.9 |
| Cursor | Fork of VS Code with routing and agents | Windows, macOS, Linux | Free tier | Pro from $20/mo | 4.7 |
| LibreChat | Self-hosted ChatGPT with any backend | Windows, macOS, Linux, Docker | Fully free | None | 4.7 |
| Big-AGI | Web chat with side-by-side model swap | Web / self-hosted | Fully free | None | 4.6 |
| LiteLLM | Proxy layer that unifies every provider | Any (Python + Docker) | Fully free | Enterprise pricing | 4.7 |
| Msty | Desktop chat with local and cloud in one | Windows, macOS, Linux | Fully free | Aurum $99 lifetime | 4.7 |
The apps
1. Continue for hybrid LLMs — Best editor-side routing
Continue is the open-source VS Code and JetBrains extension that puts a chat, autocomplete, and edit assistant next to your code, with a config file that lists every model you have access to. Local (Ollama, LM Studio, llama.cpp) and cloud (OpenAI, Anthropic, Groq, OpenRouter) sit in the same dropdown. Autocomplete points at a fast local model; big refactors go to Claude Sonnet.
Where it falls short: Config is JSON, not a UI. New users spend a few minutes editing it.
Pricing:
- Free: Fully free, Apache 2.0.
- Paid: None.
Platforms: Windows, macOS, Linux (VS Code and JetBrains extension).
Download: continue.dev · github.com/continuedev/continue
Bottom line: The default pick for a hybrid setup inside VS Code or a JetBrains IDE.
2. Zed for hybrid LLMs — Best native editor with per-keystroke model choice
Zed is the fast, Rust-based editor with AI baked in. Every AI action shows the model in use and lets you switch on the spot. It supports OpenAI, Anthropic, Google, Ollama, and OpenRouter. Zed’s collaborative editing plus AI is a genuine feature for pair work.
Where it falls short: Windows preview is still catching up to macOS and Linux. Some VS Code extensions have no equivalent.
Pricing:
- Free: Fully free with your own API keys.
- Paid: Zed Pro from $10/mo for hosted models and priority access.
Platforms: macOS, Linux, Windows preview.
Download: zed.dev · github.com/zed-industries/zed
Bottom line: The pick if you want a modern editor and the AI story is co-designed rather than bolted on.
3. Aider for hybrid LLMs — Best terminal pair-programmer
Aider is the terminal-first pair programmer. It reads and edits your git repo, keeps a running conversation about the changes, and can talk to almost any model provider. Pointed at Ollama for the small stuff and Claude for the hard changes, it’s one of the most cost-efficient coding setups on this list.
Where it falls short: Terminal-only. If you want a GUI it’s not the pick.
Pricing:
- Free: Fully free, Apache 2.0.
- Paid: None.
Platforms: Windows, macOS, Linux.
Download: aider.chat · github.com/Aider-AI/aider
Bottom line: The pick when your editor is a terminal and you want AI edits committed via git.
4. Cursor for hybrid LLMs — Best fork of VS Code with routing
Cursor is the VS Code fork with agents, custom rules, and model switching built in. On the Pro tier, Cursor bundles model access; with your own keys you can also route to local models via a bit of config. Long-context and agent modes are where Cursor shines.
Where it falls short: Paid. Local-model routing needs extra setup compared with cloud usage.
Pricing:
- Free: Basic tier with rate limits.
- Paid: Pro from $20/mo, Business from $40/mo.
Platforms: Windows, macOS, Linux.
Download: cursor.com
Bottom line: Pick this when you want a polished agent experience and don’t mind paying for the cloud side.
5. LibreChat for hybrid LLMs — Best self-hosted ChatGPT-style front end
LibreChat is a self-hosted, ChatGPT-style web app that connects to every major provider plus local runtimes. Multi-user with roles, plugin support, and side-by-side model comparison. Run it in Docker and share it across a household or small team.
Where it falls short: Self-hosting overhead. Setup is a step beyond a single-user desktop app.
Pricing:
- Free: Fully free, MIT.
- Paid: None.
Platforms: Windows, macOS, Linux, Docker.
Download: librechat.ai · github.com/danny-avila/LibreChat
Bottom line: The pick for a household or team that wants shared chat with hybrid model routing.
6. Big-AGI for hybrid LLMs — Best web chat with side-by-side model swap
Big-AGI is the browser-based chat that lets you compare responses from local and cloud models side by side. Self-host it in one command and every provider is one dropdown away. Personas, code artifacts, and beam-generate (fork a conversation across models) are strong.
Where it falls short: Web app rather than native. Uses local storage; sync across machines takes extra setup.
Pricing:
- Free: Fully free, MIT.
- Paid: None.
Platforms: Web (self-hosted or the public demo).
Download: big-agi.com · github.com/enricoros/big-AGI
Bottom line: The pick if you want a web app that lets you experiment with model routing before committing.
7. LiteLLM for hybrid LLMs — Best proxy layer that unifies every provider
LiteLLM is the Python-and-Docker proxy that presents any provider (Ollama, OpenAI, Anthropic, Bedrock, Vertex, etc.) as an OpenAI-compatible endpoint. Point any AI app at your LiteLLM proxy and switch backends by config. Add rate limiting and cost tracking centrally.
Where it falls short: A proxy, not a chat app. You bring the front end.
Pricing:
- Free: Fully free open source.
- Paid: Enterprise pricing for hosted proxy and support.
Platforms: Any host that runs Python or Docker.
Download: litellm.ai · github.com/BerriAI/litellm
Bottom line: The pick when multiple apps need to share the same routing and cost policy.
8. Msty for hybrid LLMs — Best desktop chat with local and cloud in one window
Msty is the desktop app that already ships with Ollama, LM Studio, and cloud provider support. Its split-chat view is the fastest way to see a local answer next to a Claude answer for the same prompt. Knowledge stacks (Msty’s RAG feature) work with any backend.
Where it falls short: Some advanced features gated behind Aurum. Not open source.
Pricing:
- Free: Fully free.
- Paid: Aurum $99 lifetime for knowledge stacks and premium extras.
Platforms: Windows, macOS, Linux.
Download: msty.app
Bottom line: The pick if you want a single desktop chat that already understands hybrid setups.
How to pick the right one
If your work is in VS Code or JetBrains: Continue, free and hybrid by design.
If you’re switching editors and want AI-first: Zed.
If you code in a terminal: Aider.
If you want the paid, agent-heavy experience and don’t mind the subscription: Cursor.
If a household or team wants one chat that talks to every provider: LibreChat.
If you’re exploring routing and want to test-drive it in the browser: Big-AGI.
If multiple apps need to share the same routing and rate limits: LiteLLM as the proxy, plus a chat app pointing at it.
If a single desktop app is enough and you want an all-in-one: Msty.
FAQ
How much can hybrid local plus cloud actually save on API costs? XDA’s write-up landed around a 50% cut for daily coding work. Actual savings depend on your prompt mix; boilerplate and autocomplete are the highest-value candidates to route to local.
Can I use my own OpenAI or Anthropic API keys with these apps? Yes. Every app on this list accepts your own keys. Cursor is the one that also bundles model access as part of its paid tier.
Is a local LLM good enough for real coding work? For autocomplete, small refactors, comments, and quick questions, yes. For multi-file refactors and hard reasoning, most people still reach for a frontier cloud model.
Which app has the smallest setup effort? Msty for a desktop chat, Zed for an editor. Both work in under ten minutes.
Do these apps work offline? The local-only side of every app on this list works offline. Cloud calls need a network. Continue, Zed, and Aider all gracefully fall back to your local model if the cloud provider isn’t reachable.
