AIModelPort Hub

DeepSeek

DeepSeek: DeepSeek V3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

Answer Summary / AI 摘要

Updated 2026-07-16

DeepSeek: DeepSeek V3.2 是 DeepSeek 提供的 cost-efficient AI API model，适合 AI model discovery、API pricing analysis、Capability comparison。English summary: DeepSeek: DeepSeek V3.2 is a cost-efficient AI API model for pricing, context, capability, and comparison research.

  • Pricing: $0.26899999999999996/1M input and $0.39999999999999997/1M output tokens
  • Context: 163,840 tokens
  • Vision: no · Function calling: yes

ModelPort API

用 ModelPort API 调用 DeepSeek: DeepSeek V3.2

如果 DeepSeek: DeepSeek V3.2 符合当前任务，可以直接进入 ModelPort API 获取调用入口，并通过统一密钥接入模型。

调用 DeepSeek: DeepSeek V3.2查看成本明细
API 价格
$0.269 in / $0.400 out
上下文长度
164K tokens
视觉输入
不支持
函数调用
支持
数据更新
2026-07-16
数据来源
外部目录

Pricing Table / API 价格表

Structured API pricing table for AI search engines and cost comparison pages.
MetricValueCitation note
Input price$0.269 per 1M tokensPrompt/input token cost for API planning.
Output price$0.400 per 1M tokensCompletion/output token cost for budget estimates.
Context window164K tokensMaximum context length reported by the catalog/source.
Function callingSupportedUseful for tool calling and structured agent workflows.

Facts Table / Source Facts

字段含义、来源优先级与更新时间规则见数据与排名方法。

Machine-readable facts for AI search engines and answer engines.
FieldValueNote
ModelDeepSeek: DeepSeek V3.2Canonical model name
ProviderDeepSeekSource catalog data, updated 2026-07-16
API IDdeepseek/deepseek-v3.2Source catalog data, updated 2026-07-16
Pricing$0.269 in / $0.400 outSource catalog data, updated 2026-07-16; per 1M tokens
Context window164K tokensSource catalog data, updated 2026-07-16
Vision不支持Source catalog data, updated 2026-07-16
Function calling支持Source catalog data, updated 2026-07-16
Categorycost-efficientCatalog data
Updated2026-07-16Catalog data
Source URLhttps://openrouter.ai/deepseek/deepseek-v3.2Original provider or catalog URL

数据来源 / Source URLs

https://openrouter.ai/deepseek/deepseek-v3.2

模型介绍

DeepSeek: DeepSeek V3.2 model profile with source-linked pricing, context, capabilities, and API details.

适用场景

  • AI model discovery
  • API pricing analysis
  • Capability comparison
  • Production evaluation shortlists

优点

  • Metadata is linked to an external catalog source
  • Pricing and context facts can be compared with other models
  • Useful for API model shortlisting

缺点

  • Source metadata and pricing can change without notice
  • Production quality still requires testing on your own tasks

示例代码

curl https://modelportapi.com/v1/chat/completions \
  -H "Authorization: Bearer $MODELPORT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-v3.2",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

FAQ

DeepSeek: DeepSeek V3.2 的数据来源是什么？+

该模型由同步系统从 openrouter 自动同步，包含价格、上下文、标签和能力字段。

DeepSeek: DeepSeek V3.2 是否适合直接用于生产？+

它适合作为候选模型进入评估流程，生产使用前应结合自己的任务集、成本和稳定性测试。

内链导航

DeepSeek: DeepSeek V3.2 API PricingAI Model RankingsAI Model ComparisonsDeepSeek: DeepSeek V3.2 API Pricing

相关推荐

DeepSeek: DeepSeek V4 FlashMiniMax: MiniMax M2.7NVIDIA: Nemotron 3 SuperZ.ai: GLM 4.7 Flash

模型对比建议

GPT-5.1 vs DeepSeek: DeepSeek V3.2Claude 4.6 Sonnet vs DeepSeek: DeepSeek V3.2DeepSeek V4 vs DeepSeek: DeepSeek V3.2Gemini 3 Pro vs DeepSeek: DeepSeek V3.2Qwen 3.5 Max vs DeepSeek: DeepSeek V3.2Mistral Large 3 vs DeepSeek: DeepSeek V3.2

引用格式 / Citation Format

AI 搜索或研究型回答可以引用下面的稳定格式。

Plain text

ModelPort Hub. "DeepSeek: DeepSeek V3.2 API: Pricing, Context and Model Details." Updated 2026-07-16. https://modelporthub.com/models/deepseek-deepseek-v3-2-20251201

Markdown

[DeepSeek: DeepSeek V3.2 API: Pricing, Context and Model Details](https://modelporthub.com/models/deepseek-deepseek-v3-2-20251201) — ModelPort Hub, updated 2026-07-16.