NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs MiniMax M1 80k: 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 MiniMax M1 80k Showdown

After a comprehensive analysis, NVIDIA Nemotron Nano 12B v2 VL (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, MiniMax M1 80k 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 MiniMax M1 80k 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: 128.568tokens/sec

MiniMax M1 80k

Other

Reasoning: 6
Coding: 1
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs MiniMax M1 80k 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 MiniMax M1 80k 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 `MiniMax M1 80k`.

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 MiniMax M1 80k debate, NVIDIA Nemotron Nano 12B v2 VL (Reasoning) scores 80 against MiniMax M1 80k's 60. This data-driven approach is essential for any serious NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs MiniMax M1 80k 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 MiniMax M1 80k 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

MiniMax M1 80k300ms

Tokens per Second

NVIDIA Nemotron Nano 12B v2 VL (Reasoning)128.568

MiniMax M1 80k52

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The Economics of NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs MiniMax M1 80k

Power is only one part of the equation. This NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs MiniMax M1 80k 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 MiniMax M1 80k would cost $0.001. This practical calculation is vital for any developer considering the NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs MiniMax M1 80k choice.

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Which Model Wins the NVIDIA Nemotron Nano 12B v2 VL (Reasoning) vs MiniMax M1 80k Battle for You?

Choose NVIDIA Nemotron Nano 12B v2 VL (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 MiniMax M1 80k 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 MiniMax M1 80k Comparison

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Data source: https://artificialanalysis.ai/