DeepSeek: DeepSeek V3.2 Speciale

Public pricingIntelligence 79/100Medium memoryगहरी सोच

DeepSeek: DeepSeek V3.2 Speciale एक टेक्स्ट मॉडल है, जिसे तर्क, योजना और स्वचालन के लिए बनाया गया है। यह विश्वसनीय tool use और agent behavior، गहरी तर्कशक्ति और योजना, 164K tokens का context और संतुलित लागत profile जोड़कर reasoning, planning, and multi-step automation में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब latency, cost और throughput महत्वपूर्ण हो,

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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