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Compare AI models: Gemma-SEA-LION-v4-27B-IT vs MiniMax-M2.5

  1. Gemma-SEA-LION-v4-27B-ITAI SingaporeHollow points use fallbacks · hover for details
  2. MiniMax-M2.5MiniMaxHollow 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 placeholder20/1000/1000/100 — Tool calling not supported
MiniMax-M2.550/100 — Reasoning supported; no comparable benchmark53/10060/10047/1000/10050/100 — Tool calling supported; no comparable benchmark
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
$0.03/ 1M
MomentumLast 2 mo
Unique users
No usage
37K
Completed sessions
No usage
42,395
Token share
No usage
0%
Tokens
No usage
25B-32%
No trend data
AUG 8OCT 2
RetentionWeek 1
Returning users
Pending
59.5%343 user-weeks

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