MPT-30B vs GPT-4

In the contest of MPT-30B vs GPT-4, which AI Large Language Model (LLM) tool is the champion? We evaluate pricing, alternatives, upvotes, features, reviews, and more.

MPT-30B

MPT-30B

What is MPT-30B?

MPT-30B sets a new standard in the world of open-source foundation models, delivering enhanced performance and innovation. Developed using NVIDIA H100 Tensor Core GPUs, this transformational model boasts an impressive 8k context length, allowing for a deeper and more nuanced understanding of text. As part of the acclaimed MosaicML Foundation Series, MPT-30B offers open-source access and a license for commercial use, distinguishing itself as a highly accessible and powerful tool. It comes with specialized variants, including Instruct and Chat, suited for different applications.

The model is optimized for efficient inference and training performance through technologies like ALiBi and FlashAttention, also featuring remarkable coding abilities thanks to its comprehensive pre-training data mixture. MPT-30B is strategically designed for single-GPU deployment, making it a convenient choice for a wide range of users.

GPT-4

GPT-4

What is GPT-4?

GPT-4 is the latest milestone in OpenAI’s effort in scaling up deep learning.

GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks. For example, it passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5’s score was around the bottom 10%. We’ve spent 6 months iteratively aligning GPT-4 using lessons from our adversarial testing program as well as ChatGPT, resulting in our best-ever results (though far from perfect) on factuality, steerability, and refusing to go outside of guardrails.

GPT-4 is more creative and collaborative than ever before. It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style.

MPT-30B Upvotes

6

GPT-4 Upvotes

9🏆

MPT-30B Top Features

  • Powerful 8k Context Length: Enhanced ability to understand and generate text with a longer context.

  • NVIDIA H100 Tensor Core GPU Training: Leverages advanced GPUs for improved model training performance.

  • Commercially Licensed and Open-Source: Accessible for both commercial use and community development.

  • Optimized Inference and Training Technologies: Incorporates ALiBi and FlashAttention for efficient model usage.

  • Strong Coding Capabilities: Pre-trained data mixture includes substantial code, enhancing programming proficiency.

GPT-4 Top Features

No top features listed

MPT-30B Category

    Large Language Model (LLM)

GPT-4 Category

    Large Language Model (LLM)

MPT-30B Pricing Type

    Freemium

GPT-4 Pricing Type

    Freemium

MPT-30B Tags

Open-Source Foundation Models NVIDIA H100 GPUs 8k Context Length MosaicML Foundation Series Commercial Use Efficient Inference Training Performance Coding Abilities Single-GPU Deployment

GPT-4 Tags

AI Chat BotChatGPT

MPT-30B Average Rating

No rating available

GPT-4 Average Rating

3.00

MPT-30B Reviews

No reviews available

GPT-4 Reviews

Mohamed Lounes Djerroud

If you had to choose between MPT-30B and GPT-4, which one would you go for?

When we examine MPT-30B and GPT-4, both of which are AI-enabled large language model (llm) tools, what unique characteristics do we discover? The community has spoken, GPT-4 leads with more upvotes. GPT-4 has been upvoted 9 times by aitools.fyi users, and MPT-30B has been upvoted 6 times.

Don't agree with the result? Cast your vote and be a part of the decision-making process!

By Rishit