by MiniMax

MiniMax: MiniMax M1.

text open weights datacenter 456B params 1M ctx
Cheapest input
$0.4/M
on MiniMax Platform
Cheapest output
$2.2/M
on MiniMax Platform
Fastest
87 tok/s
on OpenRouter
Smallest GPU
1× AMD MI355X

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"

Smallest GPU to run it See all quantisations →

1× AMD MI355X.

Most-aggressive quantisation we have a working recommendation for. Lower precision = less VRAM = cheaper hardware, at a small accuracy cost.

Where to use it

Cheapest hosted endpoints.

Provider Access $/M in $/M out
MiniMax Platform api direct $0.4 $2.2 Launch ↗
OpenRouter api aggregator $0.4 $2.2 Launch ↗
Performance

Speed across providers.

Tokens/sec and time-to-first-token measured against the same prompt template on each provider's API.

Provider Tokens/sec TTFT Total
OpenRouter 87.4 5722 ms
FAQ

Frequently asked.

How do I run MiniMax: MiniMax M1?
MiniMax: MiniMax M1 is open-weight, so you can self-host on rented GPUs. See the Run It Yourself tab for GPU configurations + cost estimates, or use one of the hosted inference providers listed on this page.
Where can I access MiniMax: MiniMax M1?
MiniMax: MiniMax M1 is available via MiniMax Platform, OpenRouter. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run MiniMax: MiniMax M1?
API pricing starts at $0.4/M input tokens and $2.2/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is MiniMax: MiniMax M1 open-source or proprietary?
MiniMax: MiniMax M1 is open-weight under the license. You can download and self-host it.