DeepSeek V3.2 (Reasoning) vs Magistral Medium 1: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the DeepSeek V3.2 (Reasoning) vs Magistral Medium 1 Showdown

After a comprehensive analysis, DeepSeek V3.2 (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Magistral Medium 1 remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed DeepSeek V3.2 (Reasoning) vs Magistral Medium 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.

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

Magistral Medium 1

Mistral

Reasoning: 4
Coding: 2
Multimodal: 2
Long Context: 2
Blended Price / 1M tokens: $0.003
P95 Latency: 1000ms
Tokens per second: 37.271tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the DeepSeek V3.2 (Reasoning) vs Magistral Medium 1 matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our DeepSeek V3.2 (Reasoning) vs Magistral Medium 1 analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `DeepSeek V3.2 (Reasoning)` vs `Magistral Medium 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 DeepSeek V3.2 (Reasoning) vs Magistral Medium 1 debate, DeepSeek V3.2 (Reasoning) scores 90 against Magistral Medium 1's 40. This data-driven approach is essential for any serious DeepSeek V3.2 (Reasoning) vs Magistral Medium 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 DeepSeek V3.2 (Reasoning) vs Magistral Medium 1 decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

DeepSeek V3.2 (Reasoning)300ms

Magistral Medium 1300ms

Tokens per Second

DeepSeek V3.2 (Reasoning)30.349

Magistral Medium 137.271

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The Economics of DeepSeek V3.2 (Reasoning) vs Magistral Medium 1

Power is only one part of the equation. This DeepSeek V3.2 (Reasoning) vs Magistral Medium 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, DeepSeek V3.2 (Reasoning) would cost $0.000, whereas Magistral Medium 1 would cost $0.003. This practical calculation is vital for any developer considering the DeepSeek V3.2 (Reasoning) vs Magistral Medium 1 choice.

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Which Model Wins the DeepSeek V3.2 (Reasoning) vs Magistral Medium 1 Battle for You?

Choose DeepSeek V3.2 (Reasoning) if...

Your top priority is raw performance and capability.

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

You need the most advanced reasoning capabilities available.

Choose Magistral Medium 1 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 DeepSeek V3.2 (Reasoning) vs Magistral Medium 1 Comparison

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Data source: https://artificialanalysis.ai/