DeepSeek V3.2 (Reasoning) vs NVIDIA Nemotron Nano 12B v2 VL (Reasoning): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the DeepSeek V3.2 (Reasoning) vs NVIDIA Nemotron Nano 12B v2 VL (Reasoning) Showdown

After a comprehensive analysis, DeepSeek V3.2 (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, NVIDIA Nemotron Nano 12B v2 VL (Reasoning) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed DeepSeek V3.2 (Reasoning) vs NVIDIA Nemotron Nano 12B v2 VL (Reasoning) comparison will break down every critical metric to help you make the best decision.

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Model Snapshot

Key decision metrics at a glance.

DeepSeek V3.2 (Reasoning)

DeepSeek

Reasoning: 9
Coding: 4
Multimodal: 3
Long Context: 5
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 32.321tokens/sec

NVIDIA Nemotron Nano 12B v2 VL (Reasoning)

Other

Reasoning: 8
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 129.261tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the DeepSeek V3.2 (Reasoning) vs NVIDIA Nemotron Nano 12B v2 VL (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our DeepSeek V3.2 (Reasoning) vs NVIDIA Nemotron Nano 12B v2 VL (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `DeepSeek V3.2 (Reasoning)` vs `NVIDIA Nemotron Nano 12B v2 VL (Reasoning)`.

Benchmark Breakdown

For a granular look, this chart directly compares scores across standardized benchmarks. In the critical MMLU Pro test, a key part of the DeepSeek V3.2 (Reasoning) vs NVIDIA Nemotron Nano 12B v2 VL (Reasoning) debate, DeepSeek V3.2 (Reasoning) scores 90 against NVIDIA Nemotron Nano 12B v2 VL (Reasoning)'s 80. This data-driven approach is essential for any serious DeepSeek V3.2 (Reasoning) vs NVIDIA Nemotron Nano 12B v2 VL (Reasoning) comparison.

This grouped bar chart provides a side-by-side comparison for each benchmark metric.

Speed & Latency

Speed is a crucial factor in the DeepSeek V3.2 (Reasoning) vs NVIDIA Nemotron Nano 12B v2 VL (Reasoning) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

DeepSeek V3.2 (Reasoning)300ms

NVIDIA Nemotron Nano 12B v2 VL (Reasoning)300ms

Tokens per Second

DeepSeek V3.2 (Reasoning)32.321

NVIDIA Nemotron Nano 12B v2 VL (Reasoning)129.261

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The Economics of DeepSeek V3.2 (Reasoning) vs NVIDIA Nemotron Nano 12B v2 VL (Reasoning)

Power is only one part of the equation. This DeepSeek V3.2 (Reasoning) vs NVIDIA Nemotron Nano 12B v2 VL (Reasoning) pricing analysis gives you a true sense of value.

Pricing Breakdown

Compare input and output pricing at a glance.

Real-World Cost Scenario

To process 1M input tokens and generate 250k output tokens, DeepSeek V3.2 (Reasoning) would cost $0.000, whereas NVIDIA Nemotron Nano 12B v2 VL (Reasoning) would cost $0.000. This practical calculation is vital for any developer considering the DeepSeek V3.2 (Reasoning) vs NVIDIA Nemotron Nano 12B v2 VL (Reasoning) choice.

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Which Model Wins the DeepSeek V3.2 (Reasoning) vs NVIDIA Nemotron Nano 12B v2 VL (Reasoning) Battle for You?

Choose DeepSeek V3.2 (Reasoning) if...

Your top priority is raw performance and capability.

You are working in a technical or scientific field requiring the highest accuracy.

You need the most advanced reasoning capabilities available.

Choose NVIDIA Nemotron Nano 12B v2 VL (Reasoning) if...

You are developing at scale where operational costs are critical.

You prioritize cost-effectiveness over maximum performance.

Your workload requires consistent, reliable performance.

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Your Questions about the DeepSeek V3.2 (Reasoning) vs NVIDIA Nemotron Nano 12B v2 VL (Reasoning) Comparison

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Data source: https://artificialanalysis.ai/