Softonic covered OpenAI’s launch of GPT-6 Sol and Luna, the cheaper models that slot underneath the flagship. Two things follow. First, the price of a good answer to a routine question is dropping again. Second, the smart move is no longer “pick a single subscription and stick with it.” It is “route each query to the cheapest model that can answer it.”
The 7 cheap AI model routing apps for desktop below give you that muscle. Some are gateway services that put a single API in front of dozens of models (Sol and Luna, Claude, Gemini, Llama, Mistral) and per-query pricing; others are local runners that turn a decent GPU into a private inference box for the questions that do not need a cloud model at all. Each runs on Windows, macOS, and Linux, keeps your API keys local, and lets you pick or route per prompt.
What to look for in an AI model routing app
- Multi-provider support, at least OpenAI + Anthropic + Google + open-weights via a single interface.
- Per-request cost visibility, so you can see what a chat costs before it drains a budget.
- Automatic routing rules (“small model for chat, big model for code, offline model for private data”).
- Prompt caching to avoid paying for the same context window twice.
- Local model support where hardware allows, so private data can stay on the device.
- Cross-platform so a team can standardize on one setup.
Quick comparison
| App | Best for | Free | Cloud + local | Routing logic |
|---|---|---|---|---|
| OpenRouter | Single API across dozens of models | Yes (credit-based) | Cloud | Manual per request |
| LibreChat | Full-featured self-hosted chat over any provider | Yes | Cloud + local | Manual per conversation |
| Perplexity | Cited answers with model picker | Yes | Cloud | Auto (Pro plans) |
| Msty | Beautiful desktop chat with parallel model runs | Yes | Cloud + local | Side-by-side compare |
| Cline | AI coding assistant that lets you pick model per task | Yes | Cloud + local | Manual |
| LM Studio | Local model runner with OpenAI-compatible API | Yes | Local | Whichever model you load |
| Ollama | Command-line local runner | Yes | Local | Whichever model you pull |
The 7 best cheap AI model routing apps for desktop
1. OpenRouter, best gateway to dozens of models
OpenRouter puts a single OpenAI-compatible API in front of Sol, Luna, GPT-4.x, Claude, Gemini, Llama, Mistral, and open-weights hosted elsewhere. Per-request pricing is visible before you send, and credits are prepaid, so a runaway loop does not empty a card. Point any OpenAI-SDK-compatible client at OpenRouter and switch models with one string change.
Where it falls short: A gateway, not a UI. You still need a chat client or a code editor plugin to actually type into it.
Pricing:
- Free: A small credit balance to try.
- Paid: Pay-per-token by model, plus a small routing fee.
Platforms: Windows, macOS, Linux (any HTTP client), plus web dashboard.
Download: OpenRouter
Bottom line: The default backend if you want one API key and one bill for every model you use.
2. LibreChat, best self-hosted chat over any provider
LibreChat is a self-hosted, open-source chat UI that connects to OpenAI, Anthropic, Google, OpenRouter, LM Studio, Ollama, and more, from the same conversation. Switch model mid-thread. Share conversations across a small team. Runs as a Docker container on any desktop or a small server.
Where it falls short: Self-hosting means you manage upgrades. Not for anyone who wants a one-click download and go.
Pricing:
- Free: Full app (self-hosted).
- Paid: Free.
Platforms: Windows, macOS, Linux, Docker.
Download: LibreChat
Bottom line: The pick when a small team wants a private ChatGPT-shaped UI that routes to whichever provider is cheapest per thread.
3. Perplexity, best cited-answer client with a model picker
Perplexity is an AI search app that lets Pro subscribers choose between the current strongest models per query (including cheaper OpenAI models like Sol and Luna as they roll in). Every answer ships with citations, which is why researchers stayed on it after other apps went subscription-only.
Where it falls short: Not really a “routing” tool for arbitrary prompts. It is a search-shaped surface with model choice on top.
Pricing:
- Free: Basic search with a fixed model.
- Paid: Pro monthly for model picker and higher limits.
Platforms: Windows, macOS, Linux (web app), plus Android and iOS.
Download: Perplexity
Bottom line: Pick this if most of your prompts are actually “search plus summarise with sources”.
4. Msty, best desktop chat with parallel runs
Msty is a desktop chat client that runs the same prompt across two or three models in parallel columns. Great for spending five cents on Sol, Claude Haiku, and a local Llama at once and picking the best answer, especially when you are calibrating which cheap model actually replaces the expensive one for your workload. Local models via Ollama, cloud models via API keys, all in one window.
Where it falls short: Parallel runs cost more per prompt (you paid three models). The saving is that you learn which model to use next time.
Pricing:
- Free: Core desktop app.
- Paid: Aurum tier for advanced features.
Platforms: Windows, macOS, Linux.
Download: Msty
Bottom line: Best pick for calibrating a personal routing policy before you commit.
5. Cline, best AI coding assistant with per-task model choice
Cline is an open-source AI coding assistant that runs inside VS Code and lets you pick the model per task. Assign a cheap model to boilerplate refactors, a stronger model to architectural questions, and a local model to code your employer would rather not send to a third party. Works via OpenRouter or direct provider keys.
Where it falls short: VS Code required. If you use JetBrains or Sublime, this pick does not help you.
Pricing:
- Free: Extension is free; you pay for the underlying model tokens.
- Paid: Whatever the provider charges.
Platforms: Windows, macOS, Linux (via VS Code).
Download: Cline on VS Code Marketplace
Bottom line: The pick for developers who want per-task cost control inside the editor.
6. LM Studio, best local model runner with OpenAI-compatible API
LM Studio turns a desktop with a decent GPU into a private inference box. Download and run open-weights models (Llama, Mistral, Qwen, Gemma, Phi), and expose an OpenAI-compatible API on localhost that any other app on this list can point at. Great for the routine questions that do not justify a paid API call.
Where it falls short: Needs the hardware. A GPU with at least 8 GB of VRAM is where the experience starts to feel good; 24 GB for the bigger open models.
Pricing:
- Free: Full app.
- Paid: Free.
Platforms: Windows, macOS (Apple Silicon), Linux.
Download: LM Studio
Bottom line: Pick this to add a free-per-query local tier to your routing setup.
7. Ollama, best command-line local runner
Ollama is the terminal-first alternative to LM Studio. Pull a model with one command, serve it on localhost with an OpenAI-compatible API, and point any client at it. Its Modelfile system makes it easy to bake system prompts and parameters into a reusable model tag.
Where it falls short: Command-line first. No built-in chat UI (though LibreChat and Msty happily connect to it).
Pricing:
- Free: Full app.
- Paid: Free.
Platforms: Windows, macOS, Linux.
Download: Ollama
Bottom line: The default local backend for anyone comfortable in a terminal. Pair with LibreChat or Msty for the UI.
How to pick the right one
If you want a single bill and a single API key across every model, wire everything through OpenRouter.
If you want a chat UI over that gateway, install LibreChat and point it at OpenRouter, plus your local Ollama for private data.
If most of your AI use is search-shaped, keep Perplexity Pro and skip the gateway complexity.
If you write code, install Cline in VS Code and set Sol or Luna as the default model for routine tasks, Claude or Opus for the hard ones.
If you want to run models locally without a terminal, install LM Studio. Add Msty if you want to spot-check the local answer against a cloud model side by side.
FAQ
What is GPT-6 Sol and Luna?
Softonic reports Sol and Luna as OpenAI’s cheaper tier of GPT-6, aimed at high-volume routine queries where the flagship model is overkill.
Can I actually save money by routing between models?
Yes, meaningfully. Routine chat, summarisation, and short-form drafting are indistinguishable across cheap and flagship models most of the time. Reserving the flagship for the hard 10% of queries typically cuts total spend without a quality drop noticed by users.
Do these apps work with Claude and Gemini too?
Yes. OpenRouter, LibreChat, and Cline all support Claude and Gemini alongside OpenAI models.
What GPU do I need for local models?
An 8 GB VRAM GPU comfortably runs 7-8 billion parameter models. A 24 GB card runs 70B-class models with quantization. Apple Silicon Macs with 16 GB unified memory or more are also viable.
Is it safe to send code to OpenRouter?
OpenRouter forwards requests to the upstream provider. The retention and training policies are the upstream’s, not OpenRouter’s. Read the provider’s data policy before sending sensitive code, or route those requests to a local model via Ollama or LM Studio.
