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DeepSeekActive

DeepSeek V3.2 API

Previous V3 flagship. Still solid for cost-sensitive projects.

💰 Save up to 70% vs official DeepSeek pricing
INPUT / 1M tokens
$0.23
OUTPUT / 1M tokens
$0.34
CONTEXT WINDOW
128K

Technical Specifications

ProviderDeepSeek
Model FamilyDeepSeek V3.2
Release Date2026-01
Context Window128K
Max Output Tokens8,192
Input Price$0.23 / 1M tokens
Output Price$0.34 / 1M tokens
Vision SupportNo
Function CallingNo
JSON ModeNo
StreamingYes ✓
Fine TuningNot Available
StatusActive ✓

Overview

DeepSeek V3.2 is DeepSeek's current deepseek-class AI model, released in 2026-01. Previous V3 flagship. Still solid for cost-sensitive projects.

With a 128K context window and maximum output of 8,192 tokens, DeepSeek V3.2 is well-suited for ultra-low cost and strong coding. At $0.23/1M input and $0.34/1M output, it offers extremely competitive pricing within the DeepSeek ecosystem.

DeepSeek V3.2 supports 4 capabilities: Reasoning, Code Generation, Math, Streaming. Fine-tuning is not available for this model. The model serves as an ultra-low cost solution for developers building text-based AI applications.

Through AI API Hub, you can access DeepSeek V3.2 with USDT & USDC payments, no credit card required. All via a fully OpenAI-compatible API — just change your base URL and start building in 30 seconds.

API Examples

Python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.apiyihe.org/v1"
)

response = client.chat.completions.create(
    model="deepseek-v3.2",
    messages=[
        {"role": "user", "content": "Hello"}
    ]
)

print(response.choices[0].message.content)

JavaScript / Node.js

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.API_KEY,
  baseURL: "https://api.apiyihe.org/v1"
});

const response = await client.chat.completions.create({
  model: "deepseek-v3.2",
  messages: [
    { role: "user", content: "Hello" }
  ]
});

console.log(response.choices[0].message.content);

cURL

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

Compare Alternatives

Frequently Asked Questions

What is DeepSeek V3.2?

DeepSeek V3.2 is DeepSeek's current deepseek model. Previous V3 flagship. Still solid for cost-sensitive projects.. It features a 128K context window, supports Reasoning, Code Generation, Math, and is available through AI API Hub with USDT/USDC payments.

How much does DeepSeek V3.2 cost?

DeepSeek V3.2 pricing: $0.23 per 1M input tokens, $0.34 per 1M output tokens. Pay-as-you-go with no minimum commitment. Sign up at AI API Hub and start with as little as $5.

DeepSeek V3.2 vs GPT-5.5?

DeepSeek V3.2: $0.23/$1M input, 128K context. GPT-5.5: $5.00/$1M input, 256K context. DeepSeek V3.2 is more cost-effective. Ultra-low cost. Compare them at /compare/deepseek-v3.2-vs-gpt-5.5/.

DeepSeek V3.2 context window?

DeepSeek V3.2 has a 128K context window, capable of processing up to 128,000 tokens in a single request. Maximum output tokens: 8,192.

Does DeepSeek V3.2 support function calling?

No, DeepSeek V3.2 does not natively support function calling. For function calling use cases, consider DeepSeek's flagship models.

Is DeepSeek V3.2 multimodal?

No, DeepSeek V3.2 is a text-only model. For multimodal use cases, consider models with vision/audio capabilities.

DeepSeek V3.2 API rate limits?

DeepSeek V3.2 rate limits: 5K RPM. Higher tier plans offer increased throughput. For high-volume production use, consider DeepSeek's faster variant models.

How to access DeepSeek V3.2 API?

Access DeepSeek V3.2 through AI API Hub: (1) Register at api.apiyihe.org/register?aff=8JZC, (2) Deposit USDT/USDC, (3) Get your API key instantly, (4) Use the OpenAI-compatible endpoint https://api.apiyihe.org/v1 with model name "deepseek-v3.2". Start building in under 30 seconds.

Get DeepSeek V3.2 API Access

Pay with USDT & USDC. Same model, up to 70% less.

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