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Compare AI models: Gemma-SEA-LION-v4-27B-IT vs Qwen3.7 Max

  1. Gemma-SEA-LION-v4-27B-ITAI SingaporeHollow points use fallbacks · hover for details
  2. Qwen3.7 MaxAlibabaHollow 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
Qwen3.7 Max56/10093/10024/10081/1000/10050/100 — Tool calling supported; no comparable benchmark
Overview
Author
Context length
128K
1M
Reasoning
False
True
Input modalities
Text
Text
Output modalities
Text
Text
Providers
Pricing
Input
Unknown
$2.50/ 1M
Output
Unknown
$7.50/ 1M
Cached input
Unknown
$0.50/ 1M
MomentumLast 2 mo
Unique users
No usage
66K
Completed sessions
No usage
88,827
Token share
No usage
0.01%
Tokens
No usage
68B-82%
No trend data
AUG 15OCT 9
RetentionWeek 1
Returning users
Pending
47.7%2.3K user-weeks

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