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...
Performance Overview
Score
64.1
Rank
#151
24h Change
+4
7d Change
-11
State
stableConfidence
highSignal Scores
| Signal | Normalized | Weight | Contribution | Freshness |
|---|---|---|---|---|
Capabilities capability | 50.0 | 20% | 10.0 | 2026-11-06T14:58:51.370Z |
Benchmarks benchmark | 64.9 | 30% | 19.5 | 2026-11-06T14:58:51.370Z |
Pricing pricing_tier | 97.8 | 15% | 14.7 | 2026-11-06T14:58:51.370Z |
Context Window context_window | 95.2 | 10% | 9.5 | 2026-11-06T14:58:51.370Z |
Recency recency | 40.6 | 15% | 6.1 | 2026-11-06T14:58:51.370Z |
Output Capacity output_capacity | 73.6 | 10% | 7.4 | 2026-11-06T14:58:51.370Z |
Top Drivers
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
Capabilities
| Capability | Supported |
|---|---|
| Vision | No |
| Reasoning | Yes |
| JSON Mode | No |
| Streaming | Yes |
| Function Calling | Yes |
| Web Search | No |
Pricing
Input / 1M tokens
$0.55
Output / 1M tokens
$2.20
Context Window
1000K
Max Output
40K