GitHub[225K]Try OpenCode

Compare AI models: DeepSeek V4 Pro vs flint-40b

  1. DeepSeek V4 ProDeepSeek
  2. flint-40bRecursiveHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
DeepSeek V4 Pro100/100100/10046/10081/1000/10068/100
flint-40b50/100 — 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
Unknown
Output modalities
Text
Unknown
Providers
Pricing
Input
$0.66/ 1M
Unknown
Output
$1.98/ 1M
Unknown
Cached input
$0.02/ 1M
Unknown
MomentumLast 2 mo
Unique users
396K
69K
Completed sessions
1,511,630
719,982
Token share
0.41%
0.08%
Tokens
5.5T-79%
1.1T+100%
SEP 12NOV 6
SEP 12NOV 6
RetentionWeek 1
Returning users
56%30K user-weeks
Pending

Related comparisons. Other model pairs to check.