DeepSeek: DeepSeek V3.2

Public pricingIntelligence 80/100Medium memoryगहरी सोचटूल उपयोग

DeepSeek: DeepSeek V3.2 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, 131K tokens का context और कम 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

$0.25/1M

Output

$0.38/1M

Cached

$0.03/1M

Batch

$0.14/1M

Calculate your DeepSeek V3.2 bill.

Set your workload — see cost at your exact volume.

What would DeepSeek V3.2 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

DeepSeek V3.2 at a glance.

Memory

131,072

tokens

Max reply

32,768

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

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    32

  • frontiermath_tier_4

    2.1

  • gpqa_diamond

    83.42

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

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

DeepSeek V3.2 — 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 costs roughly $34 per month. Input is $0.25 /1M tokens and output is $0.38 /1M tokens.
DeepSeek V3.2 has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, DeepSeek V3.2 supports deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
DeepSeek V3.2 was released in December 2025, with training data cut off around July 2025.
Models in a similar class include DeepSeek V3.2 Exp, DeepSeek V3.1 Terminus, DeepSeek V3.1. The "Similar models" section below this FAQ links into each.

Still unsure?

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