GitHub[220K]Try OpenCode

Compare AI models: DeepSeek V4.1 Flash vs Kimi K2.5

  1. DeepSeek V4.1 FlashDeepSeek
  2. Kimi K2.5MoonshotHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
DeepSeek V4.1 Flash100/100100/10083/10082/10033/10092/100
Kimi K2.550/100 — Reasoning supported; no comparable benchmark20/10046/10063/10050/10050/100 — Tool calling supported; no comparable benchmark
Overview
Author
Context length
1M
262K
Reasoning
True
True
Input modalities
Text, Image
Text, Image, Video
Output modalities
Text
Text
Providers
Pricing
Input
$0.05/ 1M
$0.38/ 1M
Output
$0.21/ 1M
$2.00/ 1M
Cached input
$0.001074/ 1M
$0.07/ 1M
MomentumLast 2 mo
Unique users
3.4M
5.4K
Completed sessions
89,723,092
13,625
Token share
33.4%
0%
Tokens
382T+100%
682M-98%
AUG 30OCT 24
AUG 30OCT 24
RetentionWeek 1
Returning users
68.9%318K user-weeks
72.9%133 user-weeks

Related comparisons. Other model pairs to check.