NVIDIA Nemotron 3 Super 120B A12B (Reasoning) vs Mercury 2: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the NVIDIA Nemotron 3 Super 120B A12B (Reasoning) vs Mercury 2 Showdown

After a comprehensive analysis, NVIDIA Nemotron 3 Super 120B A12B (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Mercury 2 remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed NVIDIA Nemotron 3 Super 120B A12B (Reasoning) vs Mercury 2 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.

NVIDIA Nemotron 3 Super 120B A12B (Reasoning)

Other

Reasoning: 6
Coding: 3
Multimodal: 3
Long Context: 5
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 398.835tokens/sec

Mercury 2

Other

Reasoning: 6
Coding: 3
Multimodal: 3
Long Context: 4
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 770.977tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the NVIDIA Nemotron 3 Super 120B A12B (Reasoning) vs Mercury 2 matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our NVIDIA Nemotron 3 Super 120B A12B (Reasoning) vs Mercury 2 analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `NVIDIA Nemotron 3 Super 120B A12B (Reasoning)` vs `Mercury 2`.

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 NVIDIA Nemotron 3 Super 120B A12B (Reasoning) vs Mercury 2 debate, NVIDIA Nemotron 3 Super 120B A12B (Reasoning) scores 60 against Mercury 2's 60. This data-driven approach is essential for any serious NVIDIA Nemotron 3 Super 120B A12B (Reasoning) vs Mercury 2 comparison.

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

Speed & Latency

Speed is a crucial factor in the NVIDIA Nemotron 3 Super 120B A12B (Reasoning) vs Mercury 2 decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

NVIDIA Nemotron 3 Super 120B A12B (Reasoning)300ms

Mercury 2300ms

Tokens per Second

NVIDIA Nemotron 3 Super 120B A12B (Reasoning)398.835

Mercury 2770.977

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The Economics of NVIDIA Nemotron 3 Super 120B A12B (Reasoning) vs Mercury 2

Power is only one part of the equation. This NVIDIA Nemotron 3 Super 120B A12B (Reasoning) vs Mercury 2 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, NVIDIA Nemotron 3 Super 120B A12B (Reasoning) would cost $0.000, whereas Mercury 2 would cost $0.000. This practical calculation is vital for any developer considering the NVIDIA Nemotron 3 Super 120B A12B (Reasoning) vs Mercury 2 choice.

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Which Model Wins the NVIDIA Nemotron 3 Super 120B A12B (Reasoning) vs Mercury 2 Battle for You?

Choose NVIDIA Nemotron 3 Super 120B A12B (Reasoning) if...

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Mercury 2 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 NVIDIA Nemotron 3 Super 120B A12B (Reasoning) vs Mercury 2 Comparison

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