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Compare AI models: Gemma-SEA-LION-v4-27B-IT vs Qwen3.8 Flash

  1. Gemma-SEA-LION-v4-27B-ITAI SingaporeHollow points use fallbacks · hover for details
  2. Qwen3.8 FlashAlibabaHollow 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 placeholder19/1000/1000/100 — Tool calling not supported
Qwen3.8 Flash50/100 — Reasoning supported; no comparable benchmark50/100 — No data; neutral placeholder73/10080/10050/10050/100 — Tool calling supported; no comparable benchmark
Overview
Author
Context length
128K
1M
Reasoning
False
True
Input modalities
Text
Text, Image, Video
Output modalities
Text
Text
Providers
Pricing
Input
Unknown
$0.15/ 1M
Output
Unknown
$0.47/ 1M
Cached input
Unknown
$0.02/ 1M
MomentumLast 2 mo
Unique users
No usage
151K
Completed sessions
No usage
1,085,135
Token share
No usage
0.22%
Tokens
No usage
2T+100%
No trend data
AUG 8OCT 2
RetentionWeek 1
Returning users
Pending
60%5.5K user-weeks

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