Mammouth AI: One Subscription to Rule Them All?

Introduction

I’ve recently become interested in the world of artificial intelligence. Having worked with several AI tools and purchased subscriptions to ChatGPT and MidJourney, I was intrigued when I started seeing ads for Mammouth AI — a platform that promises access to multiple top-tier AI models for a low monthly fee.

However, with little publicly available information and no free tier options, I was hesitant to dive in without knowing more. But for the sake of my YouTube and blog audience, I decided to take the plunge, sign up, and share my experience. Here’s what I found.

What Is Mammouth AI?

Mammouth AI positions itself as a one-stop platform for accessing various large language models (LLMs) and image generators. The homepage makes some bold claims, offering access to industry leaders like GPT-4, Claude AI, and MidJourney for just €10 a month. The platform promises a user-friendly interface that simplifies the use of these models, even for those who may not be particularly tech-savvy.

Signing Up and Getting Started

The sign-up process was straightforward and required committing to a monthly subscription. I decided to go ahead and choose the Starter plan at €10/month to give you all a firsthand look at what Mammouth AI has to offer.

First Impressions

Upon logging in, I found a clean, straightforward interface that indeed seems designed for ease of use. Mammouth AI offers features like one-click reprompting, where you can easily transfer a prompt from one model to another to see different outputs. 

Exploring Features

• One/click Reprompting: I tested this by generating a Halloween-themed blog post across several models, including Llama, Claude AI, and Mistral. The process was seamless, and the reprompting feature worked well, providing varied results as expected.
• Multilingual Capabilities: Since I’m learning Portuguese, I was curious about the platform’s ability to translate content. I had the Mistral model translate the Halloween blog post into European Portuguese, and the result looked good and well-formatted. The translation feature is likely a function of the models themselves rather than a unique offering from Mammouth AI.
• File Upload and Data Analysis: I attempted to upload a CSV file for analysis, expecting to create a graph. Unfortunately, the platform doesn’t seem to support CSV uploads directly, forcing me to convert the file to a PDF. Even then, none of the models were able to generate the requested graph, with ChatGPT 4o providing Python scripts instead of a visual output. LLMs like ChatGPT can typically read text files natively, but this is restricted through the Mammouth AI interface. I have created graphs in ChatGPT numerous times, so I suspect that this limitation is do to how Mammouth AI in communicating with ChatGPT on the backend.
• Image and File Upload: I also tested the platform’s ability to analyze images by uploading a photo of our dog. The models offered reasonable guesses about her breed, with detailed descriptions that matched her appearance. This feature seemed more polished than the file upload and analysis tool.
• Image Generation: I tested the image generation capabilities by asking the models to create a Halloween scene featuring our dog. I used models like Stable Diffusion, DALL-E, and FLUX. While the results varied, based on the variations between the models themselves, each captured different elements of the prompt with varying degrees of success. However, MidJourney’s integration seemed to struggle, and I was unable to successfully generate an image while recording the video. Edit: I was able to generate an image with MidJourney after recording the video.
• Chat History: The history bar on the left of the interface is welcome, but is very basic with chat naming based on the first few words of the prompt, and delete as the only option. Noted improvements would include renaming capability and a warning before permanently deleting a chat.

Areas for Improvement

While Mammouth AI shows promise, there are a few areas where it could improve:

• No Free Tier: The absence of a free trial makes it difficult for users to test the platform without committing to a subscription.
• Limited File Support: The platform’s inability to handle common file types like CSV directly is a significant drawback, especially for users looking to perform data analysis.
• Unstable Integrations: Some integrations, like MidJourney, were unresponsive during my tests, indicating that the platform might still need some refinement.
• Interface: History renaming and delete warnings would be easy and helpful improvements to that feature. Native platforms offer a richer experience including image generation controls and special code display boxes that are not available in Mammouth AI.

Final Thoughts

Mammouth AI offers a compelling proposition: access to multiple AI models for a single, affordable subscription. For newbies, AI enthusiasts, and developers who want to experiment with various LLMs without juggling multiple subscriptions, this could be a valuable tool. However, the platform’s limitations mean that it may not yet be the perfect solution for everyone.

I’m still on the fence about committing to Mammouth AI myself, but I plan to continue experimenting with the platform, especially once the promised web search feature becomes available. I’ll be sure to share my findings in a follow-up video or blog post.

Conclusion

Thank you for joining me on this first exploration of Mammouth AI. If you found this review helpful, be sure to check out my YouTube channel, where I’ll continue to explore AI tools, programming tips, and more. If you’d like to support my work, you can visit ThreeLeaf.com and check out the affiliate links on my page.