Try OpenCodeTry OpenCode

Compare AI models: Qwen3.8 Flash vs Muse Ember

  1. Qwen3.8 FlashAlibabaHollow points use fallbacks · hover for details
  2. Muse EmberMetaHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
Qwen3.8 Flash50/100 — Reasoning supported; no comparable benchmark50/100 — No data; neutral placeholder70/10080/10050/10050/100 — Tool calling supported; no comparable benchmark
Muse Ember100/1000/10071/10092/10083/10050/100 — Tool calling supported; no comparable benchmark
Overview
Author
Context length
1M
1M
Reasoning
True
True
Input modalities
Text, Image, Video
Text, Image, Video, Pdf, Audio
Output modalities
Text
Text
Providers
Pricing
Input
$0.16/ 1M
$0.10/ 1M
Output
$0.47/ 1M
$0.50/ 1M
Cached input
$0.02/ 1M
$0.004/ 1M
MomentumLast 2 mo
Unique users
220K
41K
Completed sessions
2,722,701
554,695
Token share
0.19%
0.15%
Tokens
2.7T+77%
2.2T+100%
SEP 21NOV 15
SEP 21NOV 15
RetentionWeek 1
Returning users
61.6%9.2K user-weeks
Pending

Related comparisons. Other model pairs to check.