NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs Apriel-v1.6-15B-Thinker: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs Apriel-v1.6-15B-Thinker Showdown

After a comprehensive analysis, Apriel-v1.6-15B-Thinker 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 NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs Apriel-v1.6-15B-Thinker 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 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

Apriel-v1.6-15B-Thinker

Other

Reasoning: 9
Coding: 2
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: 151.572tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs Apriel-v1.6-15B-Thinker matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs Apriel-v1.6-15B-Thinker analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `NVIDIA Nemotron Nano 12B v2 VL (Reasoning)` vs `Apriel-v1.6-15B-Thinker`.

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 Nano 12B v2 VL (Reasoning) vs Apriel-v1.6-15B-Thinker debate, NVIDIA Nemotron Nano 12B v2 VL (Reasoning) scores 80 against Apriel-v1.6-15B-Thinker's 90. This data-driven approach is essential for any serious NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs Apriel-v1.6-15B-Thinker 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 Nano 12B v2 VL (Reasoning) vs Apriel-v1.6-15B-Thinker decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

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

Apriel-v1.6-15B-Thinker300ms

Tokens per Second

NVIDIA Nemotron Nano 12B v2 VL (Reasoning)129.261

Apriel-v1.6-15B-Thinker151.572

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The Economics of NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs Apriel-v1.6-15B-Thinker

Power is only one part of the equation. This NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs Apriel-v1.6-15B-Thinker 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 Nano 12B v2 VL (Reasoning) would cost $0.000, whereas Apriel-v1.6-15B-Thinker would cost $0.018. This practical calculation is vital for any developer considering the NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs Apriel-v1.6-15B-Thinker choice.

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Which Model Wins the NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs Apriel-v1.6-15B-Thinker Battle for You?

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

Your top priority is raw performance and capability.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Apriel-v1.6-15B-Thinker 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 Nano 12B v2 VL (Reasoning) vs Apriel-v1.6-15B-Thinker Comparison

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Data source: https://artificialanalysis.ai/