DeepSeek Language New Popular

DeepSeek V3.2 Experimental

Experimental V3.2 with sparse attention

128K Context window

Text Modalities

General Specialty

Yes Streaming

Get API key — free View docs →

Model ID deepseek-v3.2-exp /v1/chat/completions

Our pricing

Input tokens per 1M tok

$0.206

Output tokens per 1M tok

$0.308

Pay-as-you-go · No minimums · Cancel anytime

OpenAI-compatible ( api.belugapi.com/v1)

Start for free →

No credit card required to test

Capabilities

What DeepSeek V3.2 Experimental
can do for you.

Native API parity with the official provider — every feature surfaced one-to-one.

Streaming

Server-sent events out of the box

Integration

2-line migration.
Zero friction.

BelugAPI is 100 % compatible with the OpenAI SDK. Point base_url to our endpoint and you're done — no refactoring, no learning curve.

Same request & response schema

Python · Node.js · REST · Go · Ruby

Streaming, tool-calling, structured output

Automatic failover & load balancing

Python

from openai import OpenAI

client = OpenAI(
  api_key=bel-your-key,
  base_url=https://api.belugapi.com/v1
)

response = client.chat.completions.create(
  model=deepseek-v3.2-exp,
  messages=[{"role": user, "content": Hello!}]
)
print(response.choices[0].message.content)

Node.js

import OpenAI from openai;

const client = new OpenAI({
  apiKey:  bel-your-key,
  baseURL: https://api.belugapi.com/v1,
});

const res = await client.chat.completions.create({
  model:    deepseek-v3.2-exp,
  messages: [{ role: user, content: Hello! }],
});
console.log(res.choices[0].message.content);

cURL

curl https://api.belugapi.com/v1/v1/chat/completions \
  -H Authorization: Bearer bel-your-key \
  -H Content-Type: application/json \
  -d {"model":"deepseek-v3.2-exp","messages":[{"role":"user","content":"Hello!"}]}

Highlights

Built for production.

Experimental

Long context

Complete guide

Everything about
DeepSeek V3.2 Experimental.

Specifications, pricing, capabilities, and integration tips — kept up to date with every DeepSeek release.

By DeepSeek 2 min read Updated May 2026

Experimental V3.2 with sparse attention

Overview

DeepSeek V3.2 Experimental is a cutting-edge large language model (llm) developed by DeepSeek, designed to push the boundaries of artificial intelligence-powered content generation.

This model excels in experimental, long context, making it a top choice for professionals seeking high-quality, scalable AI solutions. Whether you're building production applications, researching new AI capabilities, or creating stunning visual content, DeepSeek V3.2 Experimental delivers industry-leading performance and reliability.

Key Specifications

Specification	Details
Model Name	DeepSeek V3.2 Experimental
Provider	DeepSeek
Category	Large Language Model (LLM)
Model Type	Chat
Context Window	128K

Pricing

Input: $0.2056/M tokens
Output: $0.3084/M tokens

Key Features & Capabilities

Experimental: Advanced capability for professional-grade output.
Long Context: Advanced capability for professional-grade output.

Use Cases & Applications

Customer support chatbots
Content creation and writing assistants
Knowledge base Q&A systems
Educational tutoring platforms

Frequently asked questions

What is DeepSeek V3.2 Experimental best used for?

DeepSeek V3.2 Experimental excels at experimental, long context, making it ideal for professional and enterprise applications.

Who developed DeepSeek V3.2 Experimental?

DeepSeek V3.2 Experimental was developed by DeepSeek, a leading AI research and development company.

How do I integrate DeepSeek V3.2 Experimental into my application?

You can integrate DeepSeek V3.2 Experimental via its official API endpoint using standard HTTP requests with your API key. SDKs are available for Python, JavaScript, and other languages.

What is the pricing model for DeepSeek V3.2 Experimental?

Pricing is based on input. Check the pricing section above for detailed rates.

Ready to ship? Start using DeepSeek V3.2 Experimental in under 30 seconds.

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