GitHub[208K]Try OpenCode

Compare AI models: Gemma-SEA-LION-v4-27B-IT vs MiniMax-M2.7

  1. Gemma-SEA-LION-v4-27B-ITAI SingaporeHollow points use fallbacks · hover for details
  2. MiniMax-M2.7MiniMaxHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
Gemma-SEA-LION-v4-27B-IT0/100 — Reasoning not supported50/100 — No data; neutral placeholder50/100 — No data; neutral placeholder21/1000/1000/100 — Tool calling not supported
MiniMax-M2.750/100 — Reasoning supported; no comparable benchmark78/10058/10048/1000/1000/100
Overview
Author
Context length
128K
205K
Reasoning
False
True
Input modalities
Text
Text
Output modalities
Text
Text
Providers
Pricing
Input
Unknown
$0.30/ 1M
Output
Unknown
$1.20/ 1M
Cached input
Unknown
$0.06/ 1M
MomentumLast 2 mo
Unique users
No usage
62K
Completed sessions
No usage
170,957
Token share
No usage
0.02%
Tokens
No usage
224B-45%
No trend data
AUG 15OCT 9
RetentionWeek 1
Returning users
Pending
62.1%2.7K user-weeks

Related comparisons. Other model pairs to check.