GPTNeo
GPTNeo is a model released by EleutherAI to try and provide an open source model with capabilities similar to OpenAI's GPT-3 model. One of the earliest such models, GPTNeo was trained on The Pile, Eleuther's corpus of web text.
A side-by-side comparison of release history, capabilities, licensing and model sizes.
| Attribute |
 GPTNeo
|
MiniMax |
|---|---|---|
| Developer | EleutherAI, Together | MiniMax |
| Current generation | – | MiniMax M3 |
| Initial release | 2021-03-21 | 2025-01-15 |
| Instruct tuned | No | Yes |
| Coding | No | Yes |
| Finetuning | Yes | Yes |
| Open source | Yes | Yes |
| License | Apache 2.0 | MiniMax Community |
| Model sizes | 1.3B, 2.7B | 428B (23B active) |
| Links |
GPTNeo is a model released by EleutherAI to try and provide an open source model with capabilities similar to OpenAI's GPT-3 model. One of the earliest such models, GPTNeo was trained on The Pile, Eleuther's corpus of web text.
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.