Qwen3 1.7B (Reasoning) vs DeepSeek V3.1 (Reasoning): A Comparação Definitiva de Desempenho e Preço

Mergulhe profundamente em raciocínio, benchmarks e insights de latência.

O Veredicto Final no Confronto Qwen3 1.7B (Reasoning) vs DeepSeek V3.1 (Reasoning)

Após uma análise abrangente, DeepSeek V3.1 (Reasoning) surge como a escolha superior para usuários que priorizam inteligência e raciocínio brutos. No entanto, Qwen3 1.7B (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 Qwen3 1.7B (Reasoning) vs DeepSeek V3.1 (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.

Qwen3 1.7B (Reasoning)

Other

Raciocínio: 4
Codificação: 1
Multimodal: 1
Contexto Longo: 1
Preço Combinado / 1M tokens: $0.000
Latência P95: 1000ms
Tokens por segundo: 125.696tokens/seg

DeepSeek V3.1 (Reasoning)

DeepSeek

Raciocínio: 9
Codificação: 3
Multimodal: 2
Contexto Longo: 3
Preço Combinado / 1M tokens: $0.001
Latência P95: 1000ms
Tokens por segundo: —

Overall Capabilities

The capability radar provides a holistic view of the Qwen3 1.7B (Reasoning) vs DeepSeek V3.1 (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Qwen3 1.7B (Reasoning) vs DeepSeek V3.1 (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Qwen3 1.7B (Reasoning)` vs `DeepSeek V3.1 (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 Qwen3 1.7B (Reasoning) vs DeepSeek V3.1 (Reasoning) debate, Qwen3 1.7B (Reasoning) scores 40 against DeepSeek V3.1 (Reasoning)'s 90. This data-driven approach is essential for any serious Qwen3 1.7B (Reasoning) vs DeepSeek V3.1 (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 Qwen3 1.7B (Reasoning) vs DeepSeek V3.1 (Reasoning) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Qwen3 1.7B (Reasoning)300ms

DeepSeek V3.1 (Reasoning)300ms

Tokens per Second

Qwen3 1.7B (Reasoning)125.696

DeepSeek V3.1 (Reasoning)60

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The Economics of Qwen3 1.7B (Reasoning) vs DeepSeek V3.1 (Reasoning)

Power is only one part of the equation. This Qwen3 1.7B (Reasoning) vs DeepSeek V3.1 (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, Qwen3 1.7B (Reasoning) would cost $0.000, whereas DeepSeek V3.1 (Reasoning) would cost $0.001. This practical calculation is vital for any developer considering the Qwen3 1.7B (Reasoning) vs DeepSeek V3.1 (Reasoning) choice.

Review the complete pricing and packaging strategy

Which Model Wins the Qwen3 1.7B (Reasoning) vs DeepSeek V3.1 (Reasoning) Battle for You?

Choose Qwen3 1.7B (Reasoning) if...

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose DeepSeek V3.1 (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 Qwen3 1.7B (Reasoning) vs DeepSeek V3.1 (Reasoning) Comparison

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