No single AI model is the best at everything.
Claude is exceptional at code. GPT-4o writes with a natural, conversational flow. Gemini handles long documents and integrates with Google’s ecosystem. Llama is open-source and fast. Each model has strengths, and each keeps you in a separate app with its own subscription and conversation history.
So you end up doing this:
- Open Claude for a coding question. Explain your project, your stack, your constraints.
- Switch to ChatGPT for a writing task. Re-explain your brand voice, your audience, your goals.
- Try Gemini for research. Re-explain your context. Again.
Each app has its own subscription and its own memory. Every time you switch, you start from scratch.
Ditto lets you use every model in one assistant, with one memory that follows you across all of them.
The Problem With Model Lock-In
Each major AI company keeps your history inside its own app:
- ChatGPT only uses GPT models. Your conversation history lives in OpenAI’s system.
- Claude only uses Anthropic’s models. Your Projects and memory are Claude-only.
- Gemini only uses Google’s models. Your data stays in Google’s ecosystem.
This is a business decision. Each company earns more when you stay in its app. It costs you in three ways:
You lose context every time you switch. ChatGPT can’t see the architecture decision you made in Claude. That writing style preference you taught GPT? Invisible to Gemini.
You pay for redundant features. ChatGPT Plus, Claude Pro and Gemini Advanced each charge a monthly fee. You’re paying multiple times for the same core capability: access to a language model.
You can’t use the best model for each task. What if Claude is better for your code review but GPT writes better marketing copy? You have to choose one ecosystem or maintain all of them manually.
How Ditto Solves This
Ditto is provider-agnostic by design. You use models from OpenAI, Anthropic, Google, Meta, xAI, Moonshot AI and others in one interface.
Pick the Right Model for Each Task
Every conversation in Ditto starts with a model selector. Need Claude’s precise reasoning for a code review? Select it. Need GPT’s creative writing for a blog post? Switch. Need Gemini’s speed for a quick question? Tap it.
You choose the model for each task from one workspace, without switching apps.
Per-Thread Model Selection
Ditto Threads take this further. Each thread can have its own preferred model:
- “Auth Refactor” thread: Claude for precise code analysis
- “Blog Posts” thread: GPT for natural writing
- “ML Research” thread: Gemini for processing long papers
- “Personal” thread: whatever model you prefer for general chat
Switch between threads instantly. Each one remembers its model preference, its attached subjects and memories, and its full conversation history. Concurrent streaming lets several threads respond at once: Claude can answer in one thread while GPT writes in another.
One Memory, Every Model
Separate AI subscriptions each keep their own memory. In Ditto, your memory persists across all models.
Tell Claude about your tech stack in one conversation. Ask GPT for writing help in another. Both conversations feed into the same persistent knowledge graph. Your subjects, memories and personality profile are available whichever model you talk to.
Ask GPT to “help me write docs for the API we discussed” and it retrieves context from a Claude conversation you had last week. You don’t re-explain or copy and paste. The memory retrieval system finds context by meaning, whichever model produced the original conversation.
With separate AI subscriptions, your knowledge is split across apps. In Ditto, every conversation adds to one memory, whichever model you use.
Pricing Plans
Ditto has monthly plans with published limits. Every plan gives you the same model choice described above.
The Free plan costs $0: 14 days with no usage limits, then 500 retrievals and 30 voice minutes a month. Plus is $19/month and Pro is $39/month. Pro and Team let you bring your own model key. Own-key users pay their provider directly, and Ditto adds no markup.
Importing and saving memory is free on every plan. See pricing for each plan’s limits.
Which Model Should You Use?
There’s no universal answer. Use this table as a starting point:
| Task | Recommended Models | Why |
|---|---|---|
| Code review & debugging | Claude Sonnet, Claude Opus | Precise reasoning, follows instructions closely |
| Creative writing | GPT-4o, Claude Opus | Natural flow, strong voice matching |
| Quick questions | Gemini Flash, GPT-4o Mini | Fast, cheap, good enough for simple tasks |
| Research & analysis | Claude Opus, Gemini Pro | Deep reasoning, long context handling |
| Brainstorming | GPT-4o, Claude Sonnet | Good at generating varied ideas |
| Math & logic | Claude Opus, GPT-4o | Structured reasoning |
You don’t have to commit upfront. Try different models for the same kind of task and see which one works best for you. Your memory stays when you switch models, so you lose no context.
Your Memory Travels Beyond Ditto Too
Ditto’s MCP integration takes this further. Connect Ditto’s memory to Claude Desktop, Cursor, Cline or any MCP-compatible tool. Your knowledge graph, built from conversations across every model in Ditto, is available in each of them.
Use Claude Code for development with full access to your Ditto memories. Use Cursor with context from your research threads. The memory you build in Ditto goes with you to every AI tool that supports MCP.
You keep one memory across every model and every MCP-connected tool.
Try It Free
Replace separate AI subscriptions that don’t share memory. Try Ditto free: pick a model, start a conversation and see your memory build across every model. No card is needed for the Free plan.
Questions about model selection or pricing? Reach out at support@heyditto.ai.