Llama Nemotron Super 49B v1.5 (Reasoning) vs Mistral 7B Instruct: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Llama Nemotron Super 49B v1.5 (Reasoning) vs Mistral 7B Instruct Showdown

After a comprehensive analysis, Mistral 7B Instruct emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Llama Nemotron Super 49B v1.5 (Reasoning) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Llama Nemotron Super 49B v1.5 (Reasoning) vs Mistral 7B Instruct 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 Nemotron Super 49B v1.5 (Reasoning)

Other

Reasoning: 8
Coding: 2
Multimodal: 2
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 76.4tokens/sec

Mistral 7B Instruct

Mistral

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 108.326tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Llama Nemotron Super 49B v1.5 (Reasoning) vs Mistral 7B Instruct matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Llama Nemotron Super 49B v1.5 (Reasoning) vs Mistral 7B Instruct analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Llama Nemotron Super 49B v1.5 (Reasoning)` vs `Mistral 7B Instruct`.

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 Nemotron Super 49B v1.5 (Reasoning) vs Mistral 7B Instruct debate, Llama Nemotron Super 49B v1.5 (Reasoning) scores 80 against Mistral 7B Instruct's 60. This data-driven approach is essential for any serious Llama Nemotron Super 49B v1.5 (Reasoning) vs Mistral 7B Instruct 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 Nemotron Super 49B v1.5 (Reasoning) vs Mistral 7B Instruct decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Llama Nemotron Super 49B v1.5 (Reasoning)300ms

Mistral 7B Instruct300ms

Tokens per Second

Llama Nemotron Super 49B v1.5 (Reasoning)76.4

Mistral 7B Instruct108.326

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The Economics of Llama Nemotron Super 49B v1.5 (Reasoning) vs Mistral 7B Instruct

Power is only one part of the equation. This Llama Nemotron Super 49B v1.5 (Reasoning) vs Mistral 7B Instruct 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 Nemotron Super 49B v1.5 (Reasoning) would cost $0.000, whereas Mistral 7B Instruct would cost $0.000. This practical calculation is vital for any developer considering the Llama Nemotron Super 49B v1.5 (Reasoning) vs Mistral 7B Instruct choice.

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Which Model Wins the Llama Nemotron Super 49B v1.5 (Reasoning) vs Mistral 7B Instruct Battle for You?

Choose Llama Nemotron Super 49B v1.5 (Reasoning) if...

Your top priority is raw performance and capability.

You are working in a technical or scientific field requiring the highest accuracy.

Cost is a secondary concern to power in your Llama Nemotron Super 49B v1.5 (Reasoning) vs Mistral 7B Instruct decision.

Choose Mistral 7B Instruct if...

You need a highly responsive model for user-facing applications.

Your budget is a primary consideration in the Llama Nemotron Super 49B v1.5 (Reasoning) vs Mistral 7B Instruct choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Llama Nemotron Super 49B v1.5 (Reasoning) vs Mistral 7B Instruct Comparison

Review the full evaluation methodology · Read the latest analysis posts

Data source: https://artificialanalysis.ai/