Mistral Small 3.2 vs Qwen3 0.6B (Reasoning): A Comparação Definitiva de Desempenho e Preço

Mergulhe profundamente em raciocínio, benchmarks e insights de latência.

O Veredicto Final no Confronto Mistral Small 3.2 vs Qwen3 0.6B (Reasoning)

Após uma análise abrangente, Mistral Small 3.2 surge como a escolha superior para usuários que priorizam inteligência e raciocínio brutos. No entanto, Qwen3 0.6B (Reasoning) continua a ser uma opção altamente competitiva, especialmente para cenários que exigem tempos de resposta mais rápidos e eficiência de custos. Esta detalhada comparação de Mistral Small 3.2 vs Qwen3 0.6B (Reasoning) irá analisar cada métrica crítica para ajudá-lo a tomar a melhor decisão.

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Instantâneo do Modelo

Principais métricas de decisão em um relance.

Mistral Small 3.2

Mistral

Raciocínio: 3
Codificação: 1
Multimodal: 1
Contexto Longo: 2
Preço Combinado / 1M tokens: $0.000
Latência P95: 1000ms
Tokens por segundo: 124.641tokens/seg

Qwen3 0.6B (Reasoning)

Other

Raciocínio: 2
Codificação: 1
Multimodal: 1
Contexto Longo: 1
Preço Combinado / 1M tokens: $0.000
Latência P95: 1000ms
Tokens por segundo: 203.454tokens/seg

Overall Capabilities

The capability radar provides a holistic view of the Mistral Small 3.2 vs Qwen3 0.6B (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Mistral Small 3.2 vs Qwen3 0.6B (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Mistral Small 3.2` vs `Qwen3 0.6B (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 Qwen3 0.6B (Reasoning) debate, Mistral Small 3.2 scores 30 against Qwen3 0.6B (Reasoning)'s 20. This data-driven approach is essential for any serious Mistral Small 3.2 vs Qwen3 0.6B (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 Qwen3 0.6B (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

Qwen3 0.6B (Reasoning)300ms

Tokens per Second

Mistral Small 3.2124.641

Qwen3 0.6B (Reasoning)203.454

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The Economics of Mistral Small 3.2 vs Qwen3 0.6B (Reasoning)

Power is only one part of the equation. This Mistral Small 3.2 vs Qwen3 0.6B (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 Qwen3 0.6B (Reasoning) would cost $0.000. This practical calculation is vital for any developer considering the Mistral Small 3.2 vs Qwen3 0.6B (Reasoning) choice.

Review the complete pricing and packaging strategy

Which Model Wins the Mistral Small 3.2 vs Qwen3 0.6B (Reasoning) Battle for You?

Choose Mistral Small 3.2 if...

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

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Qwen3 0.6B (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 Qwen3 0.6B (Reasoning) Comparison

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Fonte de dados: https://artificialanalysis.ai/