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Compare AI models: Gemma-SEA-LION-v4-27B-IT vs MAI-Code-1-Flash

  1. Gemma-SEA-LION-v4-27B-ITAI SingaporeHollow points use fallbacks · hover for details
  2. MAI-Code-1-FlashMicrosoftHollow 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 placeholder69/10024/10033/1000/100 — Tool calling not supported
MAI-Code-1-Flash10/10036/10050/100 — No data; neutral placeholder53/1000/10025/100
Overview
Author
Context length
128K
256K
Reasoning
False
True
Input modalities
Text, Image
Text
Output modalities
Text
Text
Providers
Pricing
Input
$0.24/ 1M
Unknown
Output
$0.48/ 1M
Unknown
Cached input
Unknown
Unknown
MomentumLast 2 mo
Unique users
No usage
No usage
Completed sessions
No usage
No usage
Token share
No usage
No usage
Tokens
No usage
No usage
No trend data
No trend data
RetentionWeek 1
Returning users
Pending
Pending

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