GitHub[208K]Try OpenCode

Compare AI models: DeepSeek V4.1 Flash vs test-deepinfra

  1. DeepSeek V4.1 FlashDeepSeek
  2. test-deepinfraHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
DeepSeek V4.1 Flash100/100100/10056/10082/10033/10092/100
test-deepinfra50/100 — No data; neutral placeholder50/100 — No data; neutral placeholder50/100 — No data; neutral placeholder50/100 — No data; neutral placeholder50/100 — No data; neutral placeholder50/100 — No data; neutral placeholder
Overview
Author
Context length
1M
Unknown
Reasoning
True
Unknown
Input modalities
Text, Image
Unknown
Output modalities
Text
Unknown
Providers
Pricing
Input
$0.30/ 1M
Unknown
Output
$1.20/ 1M
Unknown
Cached input
$0.006/ 1M
Unknown
MomentumLast 2 mo
Unique users
3.3M
4
Completed sessions
84,804,032
6
Token share
32.3%
0%
Tokens
366T+100%
283K+254%
AUG 29OCT 23
AUG 29OCT 23
RetentionWeek 1
Returning users
68.9%318K user-weeks
Pending

Related comparisons. Other model pairs to check.