Unlock the Power of Choice with Multiple LLMs on dume.ai
AI is no longer one-size-fits-all. With dume.ai, you can access and use multiple Large Language Models (LLMs), such as GPT-4, Claude, Gemini, DeepSeek, and more—all from a single platform. This guide walks you through why multi-model support matters, how to use it, and how to pick the right LLM for your task.Why Use Multiple LLMs?
Each LLM has its own strengths:- GPT-4 excels at code, reasoning, and general language understanding.
- Gemini handles search-informed answers and Google integrations well.
- DeepSeek is best for math-heavy, research-based outputs.
How to Use Multiple LLMs on dume.ai
Here’s a step-by-step guide to start using multiple models effectively:1
Sign In to dume.ai
Go to dume.ai and log in or sign up.
2
Open Any Tool or Start a New Chat
You can invoke LLMs from your workspace, tool integrations, or chat.
3
Click on the "Model" Button
Look for the model selector dropdown. Click on it to see the list of available models.
4
Choose Your Model(s)
- Read the description, capabilities, and ideal use cases.
- Choose the right one for your job (e.g., GPT-4 for code, Deepseek for summaries).
- You can also run multiple prompts with different models simultaneously.
- Models with tools label support tool calling and they have the ability to call integration tools.
-
Dume AI chat model is a custom model trained to work better with intgerations, it’s sufficient for most of basic tasks.
5
Use Them in Parallel (Optional)
Need different outputs in one go? Use the same prompt across models to compare answers or run multi-part workflows:Example workflow:
GPT-4
Generate a tweet and a LinkedIn caption based on the key points
DeepSeek
Extract key product names, company mentions, and financial metrics.
Mistral
Rewrite the summary in simplified, student-friendly English.
Qwen
Translate the simplified version into Hindi and Mandarin.
LLaMA 3
Generate a list of 3 FAQs based on the summary content.
Key Benefits of Multi-LLM Access on dume.ai
- Task-specific optimization: Pick the best model for each job.
- Compare outputs: Use models side-by-side for quality checks.
- Save money: Only use expensive models when absolutely needed.
- Better accuracy: Specialized models give better task results.
Who Is It For?
Whether you’re a:- Developer
- Content Creator
- Researcher
- Marketer
- Analyst