GitHub[220K]Try OpenCode

Compare AI models: DeepSeek V4 Pro vs MiniMax-M3.1-Flash

  1. DeepSeek V4 ProDeepSeek
  2. MiniMax-M3.1-FlashMiniMaxHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
DeepSeek V4 Pro100/100100/10031/10081/1000/10068/100
MiniMax-M3.1-Flash50/100 — Reasoning supported; no comparable benchmark50/100 — No data; neutral placeholder80/10081/10050/10050/100 — Tool calling supported; no comparable benchmark
Overview
Author
Context length
1M
1M
Reasoning
True
True
Input modalities
Text
Text, Image, Video
Output modalities
Text
Text
Providers
Pricing
Input
$1.35/ 1M
$0.07/ 1M
Output
$4.05/ 1M
$0.30/ 1M
Cached input
$0.04/ 1M
$0.0075/ 1M
MomentumLast 2 mo
Unique users
404K
950K
Completed sessions
1,494,353
125,657,534
Token share
0.43%
14.7%
Tokens
5.5T-81%
188T+100%
SEP 8NOV 2
SEP 8NOV 2
RetentionWeek 1
Returning users
56%30K user-weeks
72.3%14K user-weeks

Related comparisons. Other model pairs to check.