Magistral Small 1.2 vs DeepSeek V3.2 Exp (Reasoning): 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 Exp (Reasoning) Showdown

After a comprehensive analysis, DeepSeek V3.2 Exp (Reasoning) 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 Exp (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.

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 Exp (Reasoning)

DeepSeek

Reasoning: 9
Coding: 3
Multimodal: 3
Long Context: 4
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 31.179tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Magistral Small 1.2 vs DeepSeek V3.2 Exp (Reasoning) 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 Exp (Reasoning) 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 Exp (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 Magistral Small 1.2 vs DeepSeek V3.2 Exp (Reasoning) debate, Magistral Small 1.2 scores 80 against DeepSeek V3.2 Exp (Reasoning)'s 90. This data-driven approach is essential for any serious Magistral Small 1.2 vs DeepSeek V3.2 Exp (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 Magistral Small 1.2 vs DeepSeek V3.2 Exp (Reasoning) 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 Exp (Reasoning)300ms

Tokens per Second

Magistral Small 1.2182.755

DeepSeek V3.2 Exp (Reasoning)31.179

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The Economics of Magistral Small 1.2 vs DeepSeek V3.2 Exp (Reasoning)

Power is only one part of the equation. This Magistral Small 1.2 vs DeepSeek V3.2 Exp (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, Magistral Small 1.2 would cost $0.001, whereas DeepSeek V3.2 Exp (Reasoning) would cost $0.000. This practical calculation is vital for any developer considering the Magistral Small 1.2 vs DeepSeek V3.2 Exp (Reasoning) choice.

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Which Model Wins the Magistral Small 1.2 vs DeepSeek V3.2 Exp (Reasoning) 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 Exp (Reasoning) decision.

You need the most advanced reasoning capabilities available.

Choose DeepSeek V3.2 Exp (Reasoning) 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 Exp (Reasoning) 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 Exp (Reasoning) Comparison

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Data source: https://artificialanalysis.ai/