DeepSeek V3.2 (Reasoning) vs Llama Nemotron Super 49B v1.5 (Reasoning): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the DeepSeek V3.2 (Reasoning) vs Llama Nemotron Super 49B v1.5 (Reasoning) Showdown

After a comprehensive analysis, DeepSeek V3.2 (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Llama Nemotron Super 49B v1.5 (Reasoning) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed DeepSeek V3.2 (Reasoning) vs Llama Nemotron Super 49B v1.5 (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: 31.585tokens/sec

Llama Nemotron Super 49B v1.5 (Reasoning)

Other

Reasoning: 8
Coding: 2
Multimodal: 2
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 75.33tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the DeepSeek V3.2 (Reasoning) vs Llama Nemotron Super 49B v1.5 (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our DeepSeek V3.2 (Reasoning) vs Llama Nemotron Super 49B v1.5 (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `DeepSeek V3.2 (Reasoning)` vs `Llama Nemotron Super 49B v1.5 (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 Llama Nemotron Super 49B v1.5 (Reasoning) debate, DeepSeek V3.2 (Reasoning) scores 90 against Llama Nemotron Super 49B v1.5 (Reasoning)'s 80. This data-driven approach is essential for any serious DeepSeek V3.2 (Reasoning) vs Llama Nemotron Super 49B v1.5 (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 Llama Nemotron Super 49B v1.5 (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

Llama Nemotron Super 49B v1.5 (Reasoning)300ms

Tokens per Second

DeepSeek V3.2 (Reasoning)31.585

Llama Nemotron Super 49B v1.5 (Reasoning)75.33

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The Economics of DeepSeek V3.2 (Reasoning) vs Llama Nemotron Super 49B v1.5 (Reasoning)

Power is only one part of the equation. This DeepSeek V3.2 (Reasoning) vs Llama Nemotron Super 49B v1.5 (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 Llama Nemotron Super 49B v1.5 (Reasoning) would cost $0.000. This practical calculation is vital for any developer considering the DeepSeek V3.2 (Reasoning) vs Llama Nemotron Super 49B v1.5 (Reasoning) choice.

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Which Model Wins the DeepSeek V3.2 (Reasoning) vs Llama Nemotron Super 49B v1.5 (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.

Cost is a secondary concern to power in your DeepSeek V3.2 (Reasoning) vs Llama Nemotron Super 49B v1.5 (Reasoning) decision.

Choose Llama Nemotron Super 49B v1.5 (Reasoning) if...

You need a highly responsive model for user-facing applications.

Your budget is a primary consideration in the DeepSeek V3.2 (Reasoning) vs Llama Nemotron Super 49B v1.5 (Reasoning) choice.

You are developing at scale where operational costs are critical.

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Your Questions about the DeepSeek V3.2 (Reasoning) vs Llama Nemotron Super 49B v1.5 (Reasoning) Comparison

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Data source: https://artificialanalysis.ai/