How to Use Multiple AI Model Plans in One Desktop App

Mar 19, 2026

I pay for Claude Pro. I also pay for ChatGPT Plus. And I kept switching between browser tabs, copying code back and forth, losing context every time I jumped from one AI to another. Then I realized I was paying $40/month for subscriptions I couldn’t even use together in one place.

The Problem: AI Subscription Fragmentation

Most AI coding assistants lock you into a single provider. Codex works great with OpenAI models, but try to use Claude through it? You can’t. You’re stuck paying for subscriptions that collect dust because your favorite tool doesn’t support them.

A Reddit thread I found captured this frustration perfectly:

“Outside of OpenCode I’ve actually loved Codex, with the main drawback being that I can’t use the other model plans I’m paying for in it.”

That hit home. I was doing the same thing - paying for multiple AI services but forced to use them in isolation.

What I Needed

I wanted one desktop app that could:

Connect to multiple AI providers (Anthropic, OpenAI, Google)
Let me switch between models without losing conversation context
Keep my API keys secure
Actually use the subscriptions I was paying for

Finding Multi-Provider Desktop Apps

The Reddit thread mentioned NeoCode as a “Mac-native OpenCode desktop replacement” that supports “different model plans.” That sounded like what I needed.

I also looked at a few other options:

| App              | Mac Native | Multi-Model | Open Source |
|------------------|------------|-------------|-------------|
| NeoCode          | Yes        | Yes         | Yes         |
| OpenCode Desktop | No         | Yes         | Yes         |
| Codex            | No         | No          | No          |
| Cursor           | Partial    | Yes         | No          |

NeoCode checked my boxes: Mac-native and multi-model support.

Setting Up Multiple Providers

Getting all my AI plans working in one place took some configuration. Here’s what the setup looks like:

{
  "providers": [
    {
      "name": "anthropic",
      "apiKey": "${ANTHROPIC_API_KEY}",
      "models": ["claude-sonnet-4-20250514", "claude-opus-4-20250514"]
    },
    {
      "name": "openai",
      "apiKey": "${OPENAI_API_KEY}",
      "models": ["gpt-4o", "gpt-4-turbo"]
    },
    {
      "name": "google",
      "apiKey": "${GOOGLE_API_KEY}",
      "models": ["gemini-1.5-pro", "gemini-1.5-flash"]
    }
  ],
  "defaultModel": "claude-sonnet-4-20250514"
}

The key insight: each provider needs its own API key, stored securely. NeoCode uses macOS Keychain for this, which is better than storing keys in plaintext config files.

The Architecture That Makes This Work

Multi-provider apps use a simple abstraction pattern. Here’s how it works conceptually:

class MultiModelClient:
    """Routes requests to the right AI provider."""

    def __init__(self, providers: dict):
        self.clients = {}
        for name, config in providers.items():
            self.clients[name] = self._create_client(config)

    def _create_client(self, config: dict):
        """Create a provider-specific client."""
        if config["name"] == "anthropic":
            return AnthropicClient(config["api_key"])
        elif config["name"] == "openai":
            return OpenAIClient(config["api_key"])
        elif config["name"] == "google":
            return GoogleClient(config["api_key"])

    def complete(self, prompt: str, model: str) -> str:
        """Send prompt to the right model."""
        provider = self._get_provider_for_model(model)
        return self.clients[provider].generate(prompt, model)

    def switch_model(self, model_id: str):
        """Change active model mid-conversation."""
        self.current_model = model_id

This pattern means you can swap models without starting a new conversation. I can ask Claude to analyze code, then switch to GPT-4 for a different perspective, all in the same chat.

What I Ran Into: Model Listing Bugs

The Reddit thread mentioned “error listing all models” - I hit this too. When you configure multiple providers, some apps struggle to enumerate all available models.

The fix was simpler than I expected:

1. Check each API key individually first
2. Verify network access to each provider's API
3. Look for rate limiting (too many list requests)
4. Check app logs for specific error messages

In NeoCode, this turned out to be a timeout issue. Anthropic’s model list endpoint was slow, and the app gave up too quickly. A settings change fixed it:

{
  "providerTimeouts": {
    "anthropic": 10000,
    "openai": 5000,
    "google": 5000
  }
}

Why This Matters

Cost Efficiency

Before: $20/month for Claude Pro + $20/month for ChatGPT Plus = $40/month, but I could only use one at a time in most tools.

After: Same $40/month, but I use both subscriptions fully. Claude for reasoning-heavy tasks, GPT-4 for code completion, Gemini for quick queries.

Workflow Continuity

No more context switching between browser tabs. I start a conversation, pick the best model for each question, and keep going.

[Complex debugging] --> Claude Opus (best reasoning)
[Quick code fix]   --> Claude Sonnet (fast, cheap)
[Documentation]    --> GPT-4 Turbo (good at prose)
[Simple query]     --> Gemini Flash (fast, free tier)

Flexibility

Different models excel at different things. Being locked into one provider means accepting compromises. Multi-provider apps let me use the right tool for each job.

Challenges to Watch For

Configuration complexity. Setting up multiple API keys takes more work than single-provider tools. Budget 15-30 minutes for initial setup.

Feature parity. Not every model supports every feature. Claude has long context, GPT-4 has function calling, Gemini has multimodal. Your app needs to handle these differences.

Cost tracking. Usage spreads across multiple providers. You need to monitor each separately.

Rate limits. Each provider has different rate limits. Hitting Anthropic’s limit doesn’t stop you from using OpenAI, but you need to track this.

How I Use It Now

My typical workflow:

Morning planning: Ask Claude Sonnet to review my task list and suggest priorities
Coding session: Use GPT-4 for code completion, Claude Opus for tricky debugging
Documentation: Switch to GPT-4 Turbo for writing docs (better prose style)
Quick questions: Use Gemini Flash (fast responses, free tier covers most needs)

All in one app. No tab switching. No lost context.

What to Look For in a Multi-Model Desktop App

If you’re shopping for one:

[ ] Supports your paid providers (Anthropic, OpenAI, Google, etc.)
[ ] Stores API keys securely (Keychain on Mac, credential manager on Windows)
[ ] Lets you switch models mid-conversation
[ ] Shows which model you're using (don't accidentally burn expensive tokens)
[ ] Handles provider-specific features (vision, function calling, etc.)
[ ] Has model-specific settings (temperature, max tokens)
[ ] Tracks usage per provider

NeoCode ticks all these boxes for Mac users. If you’re on Windows or Linux, OpenCode Desktop works but with more resource overhead.

Summary

The AI subscription fragmentation problem is solvable. Desktop apps like NeoCode let you consolidate multiple AI model plans into one interface. You get:

Full value from your subscriptions
No context switching between tools
The best model for each task
Local app benefits (privacy, speed, offline config)

Stop paying for AI subscriptions you can’t use together. Get a multi-provider desktop app and actually use what you pay for.

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

👨‍💻 NeoCode GitHub
👨‍💻 OpenAI API
👨‍💻 Anthropic API

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!