CompareAI models
- MiniMax-M2.7MiniMax
- Nemotron 3.5 Lightning 30B A3BNvidia
ReasoningCodingCost efficiencyContext windowMultimodalTool use
| Model | Reasoning | Coding | Cost efficiency | Context window | Multimodal | Tool use |
|---|---|---|---|---|---|---|
| MiniMax-M2.7 | 100/100 | 77/100 | 63/100 | 48/100 | 0/100 | 0/100 |
| Nemotron 3.5 Lightning 30B A3B | 100/100 | No data | 87/100 | 62/100 | 0/100 | No data |
Overview
Author
Context length
205K
262K
Reasoning
True
True
Input modalities
Text
Text
Output modalities
Text
Text
Providers
Pricing
Input
$0.30/ 1M
$0.08/ 1M
Output
$1.20/ 1M
$0.20/ 1M
Cached input
$0.06/ 1M
$0.04/ 1M
MomentumLast 2 mo
Unique users
87K
226K
Completed sessions
149,831
3,323,010
Token share
0.05%
0.57%
Tokens
294B-45%
3.6T+100%
JUL 23SEP 16
JUL 23SEP 16
RetentionWeek 1
Returning users
67%3.1K user-weeks
Pending
Related comparisons. Other model pairs to check.
Nearby alternativeMiniMax-M2.7 vs Gemma-SEA-LION-v4-27B-ITMiniMax-M2.7·Gemma-SEA-LION-v4-27B-ITNearby alternativeNemotron 3.5 Lightning 30B A3B vs Gemma-SEA-LION-v4-27B-ITNemotron 3.5 Lightning 30B A3B·Gemma-SEA-LION-v4-27B-ITRelated comparisonMiniMax-M2.7 vs Qwen3.8 Max 0902MiniMax-M2.7·Qwen3.8 Max 0902Related comparisonNemotron 3.5 Lightning 30B A3B vs Qwen3.8 Max 0902Nemotron 3.5 Lightning 30B A3B·Qwen3.8 Max 0902