DeepSeek V4 Pro vs Nemotron 3 Super
A side-by-side comparison of two llm models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.
Quick verdict: which should you choose?
Choose DeepSeek V4 Pro if you need
- ✓open-weight access and full model control
- ✓quantified high intelligence (51.5) plus proven coding and STEM performance
- ✓fast output at 79.81 tokens per second with slightly larger 1,048,576-token context
- ✓clear, structured outputs on long technical inputs
Choose Nemotron 3 Super if you need
- ✓lowest price at $0.45 per million tokens for high-volume use
- ✓NVIDIA-optimized inference efficiency at enterprise scale
- ✓strong technical-domain handling within a 1M-token window
- ✓proprietary deployment backed by NVIDIA infrastructure
Verdict
DeepSeek V4 Pro leads on measurable intelligence (51.5 index), output speed (79.81 t/s), and open-weight access while offering a marginally larger context window. Nemotron 3 Super undercuts it on price ($0.45 vs $0.87 per million tokens) and supplies NVIDIA-optimized inference for enterprise text workloads. Both remain text-only with comparable million-token context support and technical-domain strengths.
DeepSeek V4 Pro vs Nemotron 3 Super: side by side
| Spec | DeepSeek V4 Pro | Nemotron 3 Super | Winner |
|---|---|---|---|
| Intelligence | 51.5 | — | Tie |
| Output speed | 80 t/s | — | Tie |
| Output price | $0.87/1M | $0.45/1M | Nemotron 3 Super |
| Context | 1049K | 1000K | DeepSeek V4 Pro |
| Params | — | — | Tie |
| Type | Open-weight | Proprietary | Tie |
| Provider | DeepSeek | NVIDIA | Tie |
Detailed analysis
Intelligence & Performance
Winner: DeepSeek V4 ProDeepSeek V4 Pro reports an intelligence_index of 51.5 and explicit strengths in coding and STEM tasks. Nemotron 3 Super lists no intelligence score but claims strong technical-domain results. The single concrete metric favors DeepSeek.
Pricing
Winner: Nemotron 3 SuperNemotron 3 Super costs $0.45 per million tokens versus DeepSeek V4 Pro at $0.87. No other cost factors are provided, so the listed price gives Nemotron a clear edge.
Speed & Context
Winner: DeepSeek V4 ProDeepSeek V4 Pro supplies a measured 79.81 t/s and 1,048,576-token context. Nemotron 3 Super lists neither speed nor exact context beyond the rounded 1M figure, leaving DeepSeek with the only concrete speed and context data.
Accessibility & Ecosystem
Winner: DeepSeek V4 ProDeepSeek V4 Pro is open-weight while Nemotron 3 Super is proprietary. DeepSeek therefore offers greater transparency and customization options; Nemotron supplies NVIDIA inference optimizations instead.
DeepSeek V4 Pro
Pros
- +Strong performance on coding tasks
- +Effective handling of very long inputs
- +Clear and structured outputs
- +Good at technical and STEM domains
Cons
- –Text-only modality
- –No real-time information access
- –Can produce hallucinations on facts
Nemotron 3 Super
Pros
- +Handles up to 1M token contexts
- +NVIDIA-optimized inference efficiency
- +Strong performance on technical domains
- +Suitable for enterprise-scale text tasks
Cons
- –Text-only modality
- –No native multimodal support
- –Large context increases compute cost
Summary: DeepSeek V4 Pro vs Nemotron 3 Super
Select DeepSeek V4 Pro when open weights, quantified intelligence, speed, or coding performance matter most. Choose Nemotron 3 Super when lowest token price and NVIDIA enterprise optimizations are priorities. Both handle million-token text but differ sharply on openness and measured metrics.
Frequently asked questions
DeepSeek V4 Pro shows concrete advantages in intelligence index, speed, and openness; Nemotron 3 Super wins on price. No single winner exists without a specific priority.