MiniMax M1
by MiniMaxRank #159Score 70.8
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
70.8
Rank
#159
24h Change
0
7d Change
-60
State
stableConfidence
highSignal Scores
| Signal | Normalized | Weight | Contribution | Freshness |
|---|---|---|---|---|
Capabilities capability | 50.0 | 20% | 10.0 | 2026-08-08T12:22:51.404Z |
Benchmarks benchmark | 71.3 | 30% | 21.4 | 2026-08-08T12:22:51.404Z |
Pricing pricing_tier | 97.8 | 15% | 14.7 | 2026-08-08T12:22:51.404Z |
Context Window context_window | 95.2 | 10% | 9.5 | 2026-08-08T12:22:51.404Z |
Recency recency | 57.0 | 15% | 8.5 | 2026-08-08T12:22:51.404Z |
Output Capacity output_capacity | 76.4 | 10% | 7.6 | 2026-08-08T12:22:51.404Z |
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