GitHub[208K]Try OpenCode

Compare AI models: Gemma-SEA-LION-v4-27B-IT vs Gemini 3.8 Flash

  1. Gemma-SEA-LION-v4-27B-ITAI SingaporeHollow points use fallbacks · hover for details
  2. Gemini 3.8 FlashGoogle
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
Gemini 3.8 Flash50/10088/10039/10092/10083/10050/100
Overview
Author
Context length
128K
1M
Reasoning
False
True
Input modalities
Text
Text, Image, Video, Audio, Pdf
Output modalities
Text
Text
Providers
Pricing
Input
Unknown
$0.75/ 1M
Output
Unknown
$3.75/ 1M
Cached input
Unknown
$0.07/ 1M
MomentumLast 2 mo
Unique users
No usage
0
Completed sessions
No usage
16
Token share
No usage
0%
Tokens
No usage
00%
No trend data
No trend data
RetentionWeek 1
Returning users
Pending
Pending

Related comparisons. Other model pairs to check.