DeepSeek: DeepSeek V3.2 Speciale

Public pricingIntelligence 79/100Medium memoryRazonamiento profundo

DeepSeek: DeepSeek V3.2 Speciale es un modelo texto pensado para razonamiento, planificación y automatización. Combina uso fiable de herramientas y comportamiento agéntico y razonamiento y planificación profundos, un contexto de 164K tokens y un perfil costo equilibrado para trabajar con fiabilidad en reasoning, planning, and multi-step automation.

Input

$0.40/1M

Output

$1.20/1M

Cached

$0.20/1M

Batch

$0.20/1M

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Technical specifications

DeepSeek V3.2 Speciale at a glance.

Memory

163,840

tokens

Max reply

163,840

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

deepseek

Released

Dec 2025

Training cutoff

Jul 2025

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick DeepSeek V3.2 Speciale

  • Multi-step reasoning, research agents, or hard math.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.

Alternatives

Similar models to compare.

FAQ

DeepSeek V3.2 Speciale — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, DeepSeek V3.2 Speciale costs roughly $78 per month. Input is $0.40 /1M tokens and output is $1.20 /1M tokens.
DeepSeek V3.2 Speciale has a 163,840-token context window (medium memory — a long report or a codebase file). That means you can fit about 30,720 words of input and history in a single call.
Beyond text generation, DeepSeek V3.2 Speciale supports deep step-by-step reasoning, strict JSON output. It streams replies by default.
DeepSeek V3.2 Speciale was released in December 2025, with training data cut off around July 2025.
Models in a similar class include R1 0528, R1 Distill Qwen 32B, DeepSeek V3.2 Exp. The "Similar models" section below this FAQ links into each.

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