Alpaca vs. MiniMax

Overview

Alpaca is an instruction-finetuned LLM based off of LLaMA.

The first of many instruct-finetuned versions of LLaMA, Alpaca is an instruction-following model introduced by Stanford researchers. Impressively, with only $600 of compute spend, the researchers demonstrated that on qualitative benchmarks Alpaca performed similarly to OpenAI's text-davinci-003, a significantly larger model.

Initial release: 2023-03-13

Reference

https://crfm.stanford.edu/2023/03/13/alpaca.html

Further Reading

Overview

MiniMax is an open-weight model family spanning language, reasoning, multimodal, and agentic workloads. MiniMax M3 is the current generation.

MiniMax introduced the open MiniMax-01 series in January 2025 and followed it with the M1 and M2 reasoning and agent models. MiniMax M3, released in June 2026, is a 428B-parameter mixture-of-experts model with about 23B active parameters. It combines native image and video understanding, a one-million-token context window, sparse attention, computer use, coding, and long-horizon agent capabilities.

Initial release: 2025-01-15

Current generation: MiniMax M3

Reference

https://www.minimax.io/blog/minimax-m3

Further Reading

• https://www.minimax.io/news/minimax-01-series-2
• https://www.minimax.io/blog/minimax-m3
• https://huggingface.co/MiniMaxAI/MiniMax-M3