M
LLMminimax
MiniMax: MiniMax M1
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 it...
Specifications
- Provider
- minimax
- Category
- llm
- Context length
- 1,000,000 tokens
- Max output
- 40,000 tokens
- Modalities
- text
- License
- proprietary
- Released
- 2025-06-17
Pricing
- Input
- $0.40/Mtok
- Output
- $2.20/Mtok
- Model ID
minimax/minimax-m1
Team cost calculator
Estimated monthly spend
$16.54
17.6M tokens / month
5 seats · 80 msgs/day
5 seats · 80 msgs/day
Providers
| Provider | Context | Input | Output | P50 latency | Throughput | 30d uptime |
|---|---|---|---|---|---|---|
| minimax | 1000k | $0.40/Mtok | $2.20/Mtok | — | — | — |
Performance
Performance snapshots are collected daily. Check back after the next ingestion run.
Benchmarks
Works well with
Top MCPs
Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.
How Switchy teams use it
Not enough Spaces have used this model yet to share anonymised team stats. We wait for at least 50 distinct Spaces per week before publishing any aggregate.