GitHub[220K]Try 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 Pro100/100100/10046/10081/1000/10068/100
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
$0.66/ 1M
$0.05/ 1M
Output
$1.98/ 1M
$0.20/ 1M
Cached input
$0.02/ 1M
$0.01/ 1M
MomentumLast 2 mo
Unique users
414K
214K
Completed sessions
1,420,191
7,024,102
Token share
0.44%
0.35%
Tokens
5.3T-83%
4.2T+72%
SEP 3OCT 28
SEP 3OCT 28
RetentionWeek 1
Returning users
55%36K user-weeks
Pending

Related comparisons. Other model pairs to check.