Mistral Small 3.2 vs DeepSeek V3.2 (Reasoning): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Mistral Small 3.2 vs DeepSeek V3.2 (Reasoning) Showdown

After a comprehensive analysis, DeepSeek V3.2 (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Mistral Small 3.2 remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Mistral Small 3.2 vs DeepSeek V3.2 (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 Small 3.2

Mistral

Reasoning: 3
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 126.526tokens/sec

DeepSeek V3.2 (Reasoning)

DeepSeek

Reasoning: 9
Coding: 4
Multimodal: 3
Long Context: 5
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 30.349tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Mistral Small 3.2 vs DeepSeek V3.2 (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Mistral Small 3.2 vs DeepSeek V3.2 (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Mistral Small 3.2` vs `DeepSeek V3.2 (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 Small 3.2 vs DeepSeek V3.2 (Reasoning) debate, Mistral Small 3.2 scores 30 against DeepSeek V3.2 (Reasoning)'s 90. This data-driven approach is essential for any serious Mistral Small 3.2 vs DeepSeek V3.2 (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 Small 3.2 vs DeepSeek V3.2 (Reasoning) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Mistral Small 3.2300ms

DeepSeek V3.2 (Reasoning)300ms

Tokens per Second

Mistral Small 3.2126.526

DeepSeek V3.2 (Reasoning)30.349

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The Economics of Mistral Small 3.2 vs DeepSeek V3.2 (Reasoning)

Power is only one part of the equation. This Mistral Small 3.2 vs DeepSeek V3.2 (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 Small 3.2 would cost $0.000, whereas DeepSeek V3.2 (Reasoning) would cost $0.000. This practical calculation is vital for any developer considering the Mistral Small 3.2 vs DeepSeek V3.2 (Reasoning) choice.

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Which Model Wins the Mistral Small 3.2 vs DeepSeek V3.2 (Reasoning) Battle for You?

Choose Mistral Small 3.2 if...

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose DeepSeek V3.2 (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 Small 3.2 vs DeepSeek V3.2 (Reasoning) Comparison

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Data source: https://artificialanalysis.ai/