OpenCode ausprobierenJetzt testen

Compare AI models: DeepSeek V4 Pro vs Muse Ember

  1. DeepSeek V4 ProDeepSeek
  2. Muse EmberMetaHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
DeepSeek V4 Pro100/100100/10039/10081/1000/10068/100
Muse Ember100/1000/10072/10092/10083/10050/100 — Tool calling supported; no comparable benchmark
Overview
Author
Context length
1M
1M
Reasoning
True
True
Input modalities
Text
Text, Image, Video, Pdf, Audio
Output modalities
Text
Text
Providers
Pricing
Input
$0.90/ 1M
$0.10/ 1M
Output
$2.70/ 1M
$0.50/ 1M
Cached input
$0.03/ 1M
$0.004/ 1M
MomentumLast 2 mo
Unique users
400K
41K
Completed sessions
1,640,422
554,695
Token share
0.41%
0.16%
Tokens
5.8T-76%
2.2T+100%
SEP 17NOV 11
SEP 17NOV 11
RetentionWeek 1
Returning users
57.3%28K user-weeks
Pending

Related comparisons. Other model pairs to check.