Try OpenCodeTry OpenCode

Compare AI models: DeepSeek V4 Pro vs Nemotron 3.5 Lightning 30B A3B

  1. DeepSeek V4 ProDeepSeek
  2. Nemotron 3.5 Lightning 30B A3BNVIDIAHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
Normalized model capability scores
ModelReasoningCodingCost efficiencyContext windowMultimodalTool use
DeepSeek V4 Pro100/100100/10032/10081/1000/10068/100
Nemotron 3.5 Lightning 30B A3B0/10034/10084/10063/1000/10050/100 — Tool calling supported; no comparable benchmark
Overview
Author
Context length
1M
262K
Reasoning
True
True
Input modalities
Text
Text
Output modalities
Text
Text
Providers
Pricing
Input
$1.60/ 1M
$0.07/ 1M
Output
$3.20/ 1M
$0.20/ 1M
Cached input
$0.14/ 1M
$0.04/ 1M
MomentumLast 2 mo
Unique users
397K
176K
Completed sessions
1,596,257
4,987,250
Token share
0.41%
0.31%
Tokens
5.6T-78%
4.2T+23%
SEP 15NOV 9
SEP 15NOV 9
RetentionWeek 1
Returning users
57.3%28K user-weeks
Pending

Related comparisons. Other model pairs to check.