DeepSeek V3.2

Q: What is the context length of DeepSeek V3.2?

DeepSeek V3.2 has a 163,840 token context window.

Q: How much does DeepSeek V3.2 cost?

On AIHubMix, DeepSeek V3.2 costs $0.274 per million input tokens and $0.411 per million output tokens. Cached input reads are billed at $0.0274 per million tokens.

Q: What modalities does DeepSeek V3.2 support?

DeepSeek V3.2 accepts text input. It returns text output.

Q: What capabilities does DeepSeek V3.2 support?

DeepSeek V3.2 supports tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.

Q: How do I call DeepSeek V3.2 via API?

DeepSeek V3.2 is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to deepseek-v3.2 — no other code changes needed.

Q: Who created DeepSeek V3.2?

DeepSeek V3.2 is developed by DeepSeek. AIHubMix aggregates it alongside models from other providers behind one API and one bill.

deepseek-v3.2

DeepSeek

DeepSeek V3.2 is DeepSeek's text large language model, designed for reasoning tasks and agentic tool use. It harmonizes high computational efficiency with strong reasoning performance through DeepSeek Sparse Attention (DSA), while providing native support for tools, function calling, and structured outputs.

Pricing

Input Tokens: $0.274 /M tokens
Output Tokens: $0.411 /M tokens
Cache Read: $0.0274 /M tokens

Input Modalities

Text

Output Modalities

Text

Context length

164K tokens

Capabilities

Thinking
Streaming
Tool calling
Web search
URL context
Code interpreter
Computer use
File search
Memory tool
Structured outputs
Citations
Prompt caching
Background mode
Server-side sessions

Providers

Siliconflow siliconflow-deepseek-v3.2

Pricing$0.274$0.411

Context0

Max output0

Latency3.3S

Throughput4.3TPS

Uptime

100.00% uptime 2 days ago

100.00% uptime yesterday

100.00% uptime today

DeepSeek deepseek-chat

Pricing$0.274$0.411

Cache$0.0274

Context0

Max output0

Latency0.8S

Throughput13.5TPS

Uptime

100.00% uptime 2 days ago

100.00% uptime yesterday

100.00% uptime today

Sophnet sophnet-deepseek-v3.2

Pricing$0.274$0.411

Context0

Max output0

Latency1.6S

Throughput8.5TPS

Uptime

100.00% uptime 2 days ago

100.00% uptime yesterday

100.00% uptime today

Azure azure-deepseek-v3.2

Pricing$0.58$1.68

Context0

Max output0

Latency-

Throughput-

Uptime

0.00% uptime 2 days ago

0.00% uptime yesterday

0.00% uptime today

Baidu baidu-deepseek-v3.2

Pricing$0.274$0.411

Context0

Max output0

Latency-

Throughput-

Uptime

0.00% uptime 2 days ago

0.00% uptime yesterday

0.00% uptime today

Alibaba Cloud alicloud-deepseek-v3.2

Pricing$0.274$0.411

Web Search$0.00055/request

Cache Write$0.3425/M tokens

Cache Read$0.0548/M tokens

Context0

Max output0

Latency-

Throughput-

Uptime

0.00% uptime 2 days ago

0.00% uptime yesterday

0.00% uptime today

GMICloud gmicloud-deepseek-v3-2

Pricing$0.274$0.411

Cache$0.0274

Context163K

Max output0

Latency0.7S

Throughput59.0TPS

Uptime

0.00% uptime 2 days ago

0.00% uptime yesterday

0.00% uptime today

Performance for deepseek-v3.2

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime

Latency

Throughput

Try this model

Python

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://shkq.org/v1",
)

response = client.chat.completions.create(
    model="deepseek-v3.2",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

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

Frequently asked questions

What is DeepSeek V3.2?

What is the context length of DeepSeek V3.2?

How much does DeepSeek V3.2 cost?

What modalities does DeepSeek V3.2 support?

What capabilities does DeepSeek V3.2 support?

How do I call DeepSeek V3.2 via API?

Who created DeepSeek V3.2?

Compare DeepSeek V3.2

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DeepSeek V3.2

Pricing

Input Modalities

Output Modalities

Context length

Capabilities

Providers

Performance for deepseek-v3.2

Try this model

Frequently asked questions

What is DeepSeek V3.2?

What is the context length of DeepSeek V3.2?

How much does DeepSeek V3.2 cost?

What modalities does DeepSeek V3.2 support?

What capabilities does DeepSeek V3.2 support?

How do I call DeepSeek V3.2 via API?

Who created DeepSeek V3.2?

Compare DeepSeek V3.2

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Terms & Policies

DeepSeek V3.2

Pricing

Input Modalities

Output Modalities

Context length

Capabilities

Providers

Performance for deepseek-v3.2

Try this model

Frequently asked questions

What is DeepSeek V3.2?

What is the context length of DeepSeek V3.2?

How much does DeepSeek V3.2 cost?

What modalities does DeepSeek V3.2 support?

What capabilities does DeepSeek V3.2 support?

How do I call DeepSeek V3.2 via API?

Who created DeepSeek V3.2?

Compare DeepSeek V3.2

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