MiniMax M1
by MiniMaxRank #151Score 64.1
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...
性能概览
评分
64.1
排名
#151
24小时变化
+4
7天变化
-11
状态
stable置信度
high信号评分
| 信号 | 标准化 | 权重 | 贡献 | 新鲜度 |
|---|---|---|---|---|
Capabilities capability | 50.0 | 20% | 10.0 | 2026-11-06T15:01:55.541Z |
Benchmarks benchmark | 64.9 | 30% | 19.5 | 2026-11-06T15:01:55.541Z |
Pricing pricing_tier | 97.8 | 15% | 14.7 | 2026-11-06T15:01:55.541Z |
Context Window context_window | 95.2 | 10% | 9.5 | 2026-11-06T15:01:55.541Z |
Recency recency | 40.6 | 15% | 6.1 | 2026-11-06T15:01:55.541Z |
Output Capacity output_capacity | 73.6 | 10% | 7.4 | 2026-11-06T15:01:55.541Z |
主要驱动因素
positive
Benchmarks
positive
Pricing
$2.20/M output tokens
$2.20
neutral
Capabilities
Supports reasoning, tools, streaming
3/7
positive
Context Window
1M token context window
1M
功能
| 功能 | 支持 |
|---|---|
| 视觉 | 否 |
| 推理 | 是 |
| JSON模式 | 否 |
| 流式输出 | 是 |
| 函数调用 | 是 |
| 网页搜索 | 否 |
价格
输入/百万令牌
$0.55
输出/百万令牌
$2.20
上下文窗口
1000K
最大输出
40K