Compare AI models: DeepSeek V4 Pro vs nemotron-3.5-super-vl
- DeepSeek V4 ProDeepSeek
- nemotron-3.5-super-vlNVIDIAHollow points use fallbacks · hover for details
ReasoningCodingCost efficiencyContext windowMultimodalTool use
| Model | Reasoning | Coding | Cost efficiency | Context window | Multimodal | Tool use |
|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 100/100 | 100/100 | 34/100 | 81/100 | 0/100 | 68/100 |
| nemotron-3.5-super-vl | 50/100 — No data; neutral placeholder | 50/100 — No data; neutral placeholder | 50/100 — No data; neutral placeholder | 50/100 — No data; neutral placeholder | 50/100 — No data; neutral placeholder | 50/100 — No data; neutral placeholder |
Overview
Author
Context length
1M
Unknown
Reasoning
True
Unknown
Input modalities
Text
Unknown
Output modalities
Text
Unknown
Providers
Pricing
Input
$1.74/ 1M
Unknown
Output
$3.48/ 1M
Unknown
Cached input
$0.20/ 1M
Unknown
MomentumLast 2 mo
Unique users
529K
17K
Completed sessions
1,377,630
328,255
Token share
0.62%
0.08%
Tokens
6.4T-81%
849B+100%
AUG 24OCT 18
AUG 24OCT 18
RetentionWeek 1
Returning users
60.7%56K user-weeks
Pending
Related comparisons. Other model pairs to check.
Nearby alternativeDeepSeek V4 Pro vs Jamba MiniDeepSeek V4 Pro·Jamba MiniNearby alternativenemotron-3.5-super-vl vs Jamba Mininemotron-3.5-super-vl·Jamba MiniRelated comparisonDeepSeek V4 Pro vs Jamba LargeDeepSeek V4 Pro·Jamba LargeRelated comparisonnemotron-3.5-super-vl vs Jamba Largenemotron-3.5-super-vl·Jamba Large