Mistral Large (Feb '24) vs Mistral Small 3.1: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Mistral Large (Feb '24) vs Mistral Small 3.1 Showdown

After a comprehensive analysis, Mistral Large (Feb '24) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Mistral Small 3.1 remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Mistral Large (Feb '24) vs Mistral Small 3.1 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 (Feb '24)

Mistral

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.006
P95 Latency: 1000ms
Tokens per second: —

Mistral Small 3.1

Mistral

Reasoning: 1
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 130.183tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Mistral Large (Feb '24) vs Mistral Small 3.1 matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Mistral Large (Feb '24) vs Mistral Small 3.1 analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Mistral Large (Feb '24)` vs `Mistral Small 3.1`.

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 (Feb '24) vs Mistral Small 3.1 debate, Mistral Large (Feb '24) scores 60 against Mistral Small 3.1's 10. This data-driven approach is essential for any serious Mistral Large (Feb '24) vs Mistral Small 3.1 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 (Feb '24) vs Mistral Small 3.1 decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Mistral Large (Feb '24)300ms

Mistral Small 3.1300ms

Tokens per Second

Mistral Large (Feb '24)61

Mistral Small 3.1130.183

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The Economics of Mistral Large (Feb '24) vs Mistral Small 3.1

Power is only one part of the equation. This Mistral Large (Feb '24) vs Mistral Small 3.1 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 (Feb '24) would cost $0.007, whereas Mistral Small 3.1 would cost $0.000. This practical calculation is vital for any developer considering the Mistral Large (Feb '24) vs Mistral Small 3.1 choice.

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Which Model Wins the Mistral Large (Feb '24) vs Mistral Small 3.1 Battle for You?

Choose Mistral Large (Feb '24) if...

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

Cost is a secondary concern to power in your Mistral Large (Feb '24) vs Mistral Small 3.1 decision.

You need the most advanced reasoning capabilities available.

Choose Mistral Small 3.1 if...

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

Your budget is a primary consideration in the Mistral Large (Feb '24) vs Mistral Small 3.1 choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Mistral Large (Feb '24) vs Mistral Small 3.1 Comparison

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Data source: https://artificialanalysis.ai/