Mistral Large 3 vs Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Mistral Large 3 vs Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning) Showdown

After a comprehensive analysis, Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Mistral Large 3 remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Mistral Large 3 vs Llama 3.1 Nemotron Nano 4B v1.1 (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.

Mistral Large 3

Mistral

Reasoning: 4
Coding: 2
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 55.123tokens/sec

Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning)

Other

Reasoning: 5
Coding: 6
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the Mistral Large 3 vs Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Mistral Large 3 vs Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Mistral Large 3` vs `Llama 3.1 Nemotron Nano 4B v1.1 (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 Mistral Large 3 vs Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning) debate, Mistral Large 3 scores 40 against Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning)'s 50. This data-driven approach is essential for any serious Mistral Large 3 vs Llama 3.1 Nemotron Nano 4B v1.1 (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 Mistral Large 3 vs Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Mistral Large 3300ms

Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning)300ms

Tokens per Second

Mistral Large 355.123

Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning)54

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The Economics of Mistral Large 3 vs Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning)

Power is only one part of the equation. This Mistral Large 3 vs Llama 3.1 Nemotron Nano 4B v1.1 (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, Mistral Large 3 would cost $0.001, whereas Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning) would cost $0.018. This practical calculation is vital for any developer considering the Mistral Large 3 vs Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning) choice.

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Which Model Wins the Mistral Large 3 vs Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning) Battle for You?

Choose Mistral Large 3 if...

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Llama 3.1 Nemotron Nano 4B v1.1 (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 Mistral Large 3 vs Llama 3.1 Nemotron Nano 4B v1.1 (Reasoning) Comparison

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Data source: https://artificialanalysis.ai/