GitHub[220K]Try OpenCode

Compare AI models: DeepSeek V4 Pro vs MiMo-V2.6-Pro

  1. DeepSeek V4 ProDeepSeek
  2. MiMo-V2.6-ProXiaomiHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
DeepSeek V4 Pro100/100100/10038/10082/1000/10068/100
MiMo-V2.6-Pro44/100100/10060/10093/10067/10050/100 — Tool calling supported; no comparable benchmark
Overview
Author
Context length
1M
1M
Reasoning
True
True
Input modalities
Text
Text, Image, Audio, Video
Output modalities
Text
Text
Providers
Pricing
Input
$0.90/ 1M
$0.43/ 1M
Output
$2.70/ 1M
$0.87/ 1M
Cached input
$0.03/ 1M
$0.0036/ 1M
MomentumLast 2 mo
Unique users
456K
124K
Completed sessions
1,387,745
625,379
Token share
0.5%
0.23%
Tokens
5.7T-82%
2.6T+100%
AUG 29OCT 23
AUG 29OCT 23
RetentionWeek 1
Returning users
58.3%44K user-weeks
68.1%4.1K user-weeks

Related comparisons. Other model pairs to check.