Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) vs Qwen3 VL 32B (Reasoning): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) vs Qwen3 VL 32B (Reasoning) Showdown

After a comprehensive analysis, Qwen3 VL 32B (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) vs Qwen3 VL 32B (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.

Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)

Other

Reasoning: 6
Coding: 1
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 37.465tokens/sec

Qwen3 VL 32B (Reasoning)

Other

Reasoning: 8
Coding: 1
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.003
P95 Latency: 1000ms
Tokens per second: 83.765tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) vs Qwen3 VL 32B (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) vs Qwen3 VL 32B (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)` vs `Qwen3 VL 32B (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 Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) vs Qwen3 VL 32B (Reasoning) debate, Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) scores 60 against Qwen3 VL 32B (Reasoning)'s 80. This data-driven approach is essential for any serious Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) vs Qwen3 VL 32B (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 Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) vs Qwen3 VL 32B (Reasoning) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)300ms

Qwen3 VL 32B (Reasoning)300ms

Tokens per Second

Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)37.465

Qwen3 VL 32B (Reasoning)83.765

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The Economics of Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) vs Qwen3 VL 32B (Reasoning)

Power is only one part of the equation. This Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) vs Qwen3 VL 32B (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, Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) would cost $0.001, whereas Qwen3 VL 32B (Reasoning) would cost $0.003. This practical calculation is vital for any developer considering the Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) vs Qwen3 VL 32B (Reasoning) choice.

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Which Model Wins the Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) vs Qwen3 VL 32B (Reasoning) Battle for You?

Choose Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) if...

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Qwen3 VL 32B (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 Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) vs Qwen3 VL 32B (Reasoning) Comparison

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Data source: https://artificialanalysis.ai/