Mistral Small (Feb '24) vs DeepSeek R1 Distill Qwen 32B: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Mistral Small (Feb '24) vs DeepSeek R1 Distill Qwen 32B Showdown

After a comprehensive analysis, DeepSeek R1 Distill Qwen 32B emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Mistral Small (Feb '24) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Mistral Small (Feb '24) vs DeepSeek R1 Distill Qwen 32B 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 (Feb '24)

Mistral

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.002
P95 Latency: 1000ms
Tokens per second: 119.688tokens/sec

DeepSeek R1 Distill Qwen 32B

DeepSeek

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 42.059tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Mistral Small (Feb '24) vs DeepSeek R1 Distill Qwen 32B matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Mistral Small (Feb '24) vs DeepSeek R1 Distill Qwen 32B analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Mistral Small (Feb '24)` vs `DeepSeek R1 Distill Qwen 32B`.

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 (Feb '24) vs DeepSeek R1 Distill Qwen 32B debate, Mistral Small (Feb '24) scores 60 against DeepSeek R1 Distill Qwen 32B's 60. This data-driven approach is essential for any serious Mistral Small (Feb '24) vs DeepSeek R1 Distill Qwen 32B 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 (Feb '24) vs DeepSeek R1 Distill Qwen 32B decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Mistral Small (Feb '24)300ms

DeepSeek R1 Distill Qwen 32B300ms

Tokens per Second

Mistral Small (Feb '24)119.688

DeepSeek R1 Distill Qwen 32B42.059

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The Economics of Mistral Small (Feb '24) vs DeepSeek R1 Distill Qwen 32B

Power is only one part of the equation. This Mistral Small (Feb '24) vs DeepSeek R1 Distill Qwen 32B 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 (Feb '24) would cost $0.002, whereas DeepSeek R1 Distill Qwen 32B would cost $0.000. This practical calculation is vital for any developer considering the Mistral Small (Feb '24) vs DeepSeek R1 Distill Qwen 32B choice.

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Which Model Wins the Mistral Small (Feb '24) vs DeepSeek R1 Distill Qwen 32B Battle for You?

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

Cost is a secondary concern to power in your Mistral Small (Feb '24) vs DeepSeek R1 Distill Qwen 32B decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose DeepSeek R1 Distill Qwen 32B if...

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

Your budget is a primary consideration in the Mistral Small (Feb '24) vs DeepSeek R1 Distill Qwen 32B choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Mistral Small (Feb '24) vs DeepSeek R1 Distill Qwen 32B Comparison

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Data source: https://artificialanalysis.ai/