DeepSeek V3.2 vs Nemotron 3.5 Super VL
| Signal | DeepSeek V3.2 | Delta | Nemotron 3.5 Super VL |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 87 | +87 | |
Pricing | 100 | +0 | |
Context window size | 83 | -13 | |
Recency | 71 | -29 | |
Output Capacity | 83 | -13 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
83.4
current score
DeepSeek V3.2
right now
40
current score
DeepSeek V3.2
DeepSeek
Nemotron 3.5 Super VL
NVIDIA
Nemotron 3.5 Super VL saves you $5.00/month
That's $60.00/year compared to DeepSeek V3.2 at your current usage level of 100K calls/month.
| Metric | DeepSeek V3.2 | Nemotron 3.5 Super VL | Winner |
|---|---|---|---|
| Overall Score | 83 | 40 | DeepSeek V3.2 |
| Rank | #73 | #194 | DeepSeek V3.2 |
| Quality Rank | #73 | #194 | DeepSeek V3.2 |
| Adoption Rank | #73 | #194 | DeepSeek V3.2 |
| Parameters | -- | -- | -- |
| Context Window | 164K | 1049K | Nemotron 3.5 Super VL |
| Pricing | $0.26/$0.38/M | $0.15/$0.50/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Nemotron 3.5 Super VL |
| Benchmarks | 87 | -- | DeepSeek V3.2 |
| Pricing | 100 | 100 | DeepSeek V3.2 |
| Context window size | 83 | 96 | Nemotron 3.5 Super VL |
| Recency | 71 | 100 | Nemotron 3.5 Super VL |
| Output Capacity | 83 | 96 | Nemotron 3.5 Super VL |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 83/100 (rank #73), placing it in the top 75% of all 290 models tracked.
Scores 40/100 (rank #194), placing it in the top 33% of all 290 models tracked.
DeepSeek V3.2 has a 43-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose DeepSeek V3.2 when you need:
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Choose Nemotron 3.5 Super VL when you need:
- Processing long documents or large codebases (1049K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. DeepSeek V3.2 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.38/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (83/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
DeepSeek V3.2 clearly outperforms Nemotron 3.5 Super VL with a significant 43.400000000000006-point lead. For most general use cases, DeepSeek V3.2 is the stronger choice. However, Nemotron 3.5 Super VL may still excel in niche scenarios.
By Use Case
Best for Quality
DeepSeek V3.2
Marginally better benchmark scores; both are excellent
Best for Cost
DeepSeek V3.2
2% lower pricing; better value at scale
Best for Reliability
DeepSeek V3.2
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V3.2
Stronger community support and better developer experience
Best for Production
DeepSeek V3.2
Wider enterprise adoption and proven at scale
by DeepSeek
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 2% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | DeepSeek V3.2 | Nemotron 3.5 Super VL |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
DeepSeek V3.2
DeepSeek
Nemotron 3.5 Super VL
NVIDIA
Nemotron 3.5 Super VL saves you $0.0540/month
That's 6% cheaper than DeepSeek V3.2 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | DeepSeek V3.2 | Nemotron 3.5 Super VL |
|---|---|---|
| Context Window | 164K | 1.0M |
| Max Output Tokens | 147,456 | 943,718 |
| Open Source | Yes | Yes |
| Created | Dec 1, 2025 | Oct 15, 2026 |