Magistral Small 1.2 vs DeepSeek V3.2 Speciale: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Magistral Small 1.2 vs DeepSeek V3.2 Speciale Showdown

After a comprehensive analysis, DeepSeek V3.2 Speciale emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Magistral Small 1.2 remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Magistral Small 1.2 vs DeepSeek V3.2 Speciale 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.

Magistral Small 1.2

Mistral

Reasoning: 8
Coding: 1
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 182.755tokens/sec

DeepSeek V3.2 Speciale

DeepSeek

Reasoning: 10
Coding: 4
Multimodal: 3
Long Context: 4
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the Magistral Small 1.2 vs DeepSeek V3.2 Speciale matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Magistral Small 1.2 vs DeepSeek V3.2 Speciale analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Magistral Small 1.2` vs `DeepSeek V3.2 Speciale`.

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 Magistral Small 1.2 vs DeepSeek V3.2 Speciale debate, Magistral Small 1.2 scores 80 against DeepSeek V3.2 Speciale's 100. This data-driven approach is essential for any serious Magistral Small 1.2 vs DeepSeek V3.2 Speciale comparison.

This grouped bar chart provides a side-by-side comparison for each benchmark metric.

Speed & Latency

Speed is a crucial factor in the Magistral Small 1.2 vs DeepSeek V3.2 Speciale decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Magistral Small 1.2300ms

DeepSeek V3.2 Speciale300ms

Tokens per Second

Magistral Small 1.2182.755

DeepSeek V3.2 Speciale41

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The Economics of Magistral Small 1.2 vs DeepSeek V3.2 Speciale

Power is only one part of the equation. This Magistral Small 1.2 vs DeepSeek V3.2 Speciale 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, Magistral Small 1.2 would cost $0.001, whereas DeepSeek V3.2 Speciale would cost $0.001. This practical calculation is vital for any developer considering the Magistral Small 1.2 vs DeepSeek V3.2 Speciale choice.

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Which Model Wins the Magistral Small 1.2 vs DeepSeek V3.2 Speciale Battle for You?

Choose Magistral Small 1.2 if...

Your top priority is raw performance and capability.

Cost is a secondary concern to power in your Magistral Small 1.2 vs DeepSeek V3.2 Speciale decision.

You need the most advanced reasoning capabilities available.

Choose DeepSeek V3.2 Speciale if...

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

Your budget is a primary consideration in the Magistral Small 1.2 vs DeepSeek V3.2 Speciale choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Magistral Small 1.2 vs DeepSeek V3.2 Speciale Comparison

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Data source: https://artificialanalysis.ai/