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DeepSeek-V3.2: Efficient Transformer Research for Long-Context Tasks
Released on December 1, 2025 as part of the DeepSeek lineup, DeepSeek-V3.2 sits alongside DeepSeek-V3 and is positioned as a research-focused model for exploring more efficient transformer architectures.
Designed to improve inference efficiency in long-context scenarios while maintaining strong output quality, it serves as a reliable option for experimentation and large-scale context handling. These strengths make it well-suited for research workflows, performance-sensitive applications, and tasks that require extended contextual reasoning with optimized compute usage
DeepSeek-V3.2: Especificações Principais
A seguir estão as principais especificações de DeepSeek-V3.2 e como elas impactam seu uso no mundo real.
- Context Window - 163,800 tokens: This sizable context capacity allows DeepSeek-V3.2 to follow longer conversations or documents while keeping earlier information accessible for multi-step reasoning.
- Maximum Output Length - 65,500 tokens: The model can produce extended, detailed responses, making it suitable for thorough explanations, structured reports, and longer content generated in one pass.
- Speed and Efficiency - Moderately paced performance: DeepSeek-V3.2 responds at a steady, unhurried rate, making it suitable for tasks where thoughtful processing matters more than raw speed.
- Cost Efficiency - Positioned in a low-cost usage tier: Its affordable operating cost makes it practical for frequent or high-volume workloads that require steady output without heavy expenses.
- Reasoning and Accuracy - High reasoning capability: The model handles everyday logic, analysis, and multi-step tasks with dependable clarity, offering strong performance for a wide range of common use cases.
- Multimodal Capabilities - Text-only input and output: DeepSeek-V3.2 is optimized for pure text interactions, making it suitable for writing, analysis, and conversational tasks that don't require image or code handling.
Compare DeepSeek-V3.2, DeepSeek-R1, and DeepSeek-V3
Uma visão geral rápida de como cada modelo difere em potência, velocidade e casos de uso.
| Recurso | DeepSeek-V3.2 | DeepSeek-R1 | DeepSeek-V3 |
|---|---|---|---|
| Knowledge Cutoff | jan. 2025 | jan. 2025 | dez. 2024 |
| Janela de contexto (tokens) | 163.800 | 163.800 | 163.800 |
| Tokens máximos de saída | 65.500 | 163.800 | 163.800 |
| Modalidades de Entrada | Text | Texto | Text |
| Modalidades de Saída | Text | Texto | Text |
| Latência (Dados do OpenRouter) | 1,24s | 1,29s | 1,30s |
| Velocidade | Medium(low latency) | Mais rápido que o DeepSeek-V3 | Médio (relativamente lento na linha DeepSeek) |
| Custo de entrada / saída por 1M de tokens | $0,28 / $0,42 | $0,2 / $4,5 | $0,3 / $1,2 |
| Desempenho em Raciocínio | High | Alta | Average |
| Desempenho em Programação (no SWE-bench Verified) | 57,80% | 49,20% | 42% |
| Melhor Para | improving inference efficiency in long-context scenarios while maintaining output quality | tarefas avançadas de raciocínio, programação e lógica geral | processamento de documentos longos, sumarização multidocumento, geração de conteúdo, raciocínio analítico |
Fonte: DeepSeek-V3.2 Documentation
Melhores Casos de Uso para DeepSeek-V3.2
DeepSeek-V3.2 is best for tasks that rely on extended information and steady performance.
- For students and learners: Use DeepSeek-V3.2 to work through long readings, understand multi-section materials, and follow explanations that stay consistent across extended content.
- For developers: Handle large codebases, analyze long logs, and build tools that benefit from efficient, long-context reasoning without compromising accuracy.
- For businesses and teams: Process lengthy documents, generate structured summaries, and maintain clarity when working with extensive reports or multi-part information.
- For product teams and app builders: Create features that depend on long-context understanding, enabling agents or tools that track details and perform reliably over extended sessions.
- For operations and support workflows: Review long issue histories, understand complex cases, and generate stable, context-aware resolutions for ongoing operational tasks.
- For content and marketing helpers: Manage long-form content, maintain consistent tone across sections, and produce clear, high-quality writing even when working with large volumes of source material.
Como Acessar DeepSeek-V3.2
Accessing DeepSeek-V3.2 is simple, and you can choose the option that best fits your workflow.
1. DeepSeek API
You can use DeepSeek-V3.2 through the official DeepSeek API. This requires an API key and a billing plan, making it ideal for developers who want direct integration into applications, automation, or custom tools.
2. EssayDone Chat IA
For instant access without setup or configuration, DeepSeek-V3.2 is available in EssayDone Chat IA.
It provides the same underlying model output as the API but in a simple, user-friendly interface perfect for students, writers, and professionals who want to start using it immediately.
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FAQ
Aqui estão algumas perguntas frequentes sobre DeepSeek-V3.2.
Yes. DeepSeek-V3.2 offers high reasoning capability, providing strong analytical performance suitable for complex tasks. Its reasoning rating places it solidly above average while remaining efficient for large-context use.
DeepSeek-V3.2 costs $0.28 per 1M input tokens and $0.42 per 1M output tokens. It is priced competitively, offering strong capability at a low cost within the DeepSeek model family.
DeepSeek-V3.2 is optimized for improving inference efficiency in long-context scenarios while maintaining output quality. It excels in tasks involving extended documents, detailed analysis, and multi-step reasoning. It is ideal for users who need reliable performance across large or complex inputs.
DeepSeek-V3.2 accepts text inputs and produces text outputs. It does not support multimodal inputs such as images or code, making it best suited for strictly text-focused workflows.
DeepSeek-V3.2 offers higher efficiency and improved reasoning stability compared to DeepSeek-R1. When compared with DeepSeek-V3, it provides refined performance, better long-context handling, and more consistent output quality.
Using DeepSeek-V3.2 in EssayDone Chat IA means you don't need an API key, don't face daily message limits, and aren't restricted by region. You can access ChatGPT and many other AI models in one place with a single payment, all at a more affordable price.