MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing…
Model details →MiniMax: MiniMax M1 vs Auto Router
Auto Router wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
Your prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used, visit [Activity](/activity), or read the `model` attribute of the respon…
Model details →Side-by-side comparison
| Capability | MiniMax: MiniMax M1 | Auto Router | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1M | 2M | 🏆 Auto Router |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.40 | $-1000000.00 | 🏆 Auto Router |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.20 | $-1000000.00 | 🏆 Auto Router |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Auto Router |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is MiniMax: MiniMax M1 better than Auto Router?
Auto Router wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between MiniMax: MiniMax M1 and Auto Router?
Input: $0.40 vs $-1000000.00 per 1M tokens. Output: $2.20 vs $-1000000.00 per 1M tokens.
What context windows do MiniMax: MiniMax M1 and Auto Router support?
MiniMax: MiniMax M1 supports up to 1M tokens. Auto Router supports up to 2M tokens.
Do both MiniMax: MiniMax M1 and Auto Router support tool calling?
MiniMax: MiniMax M1: yes. Auto Router: yes.