DeepSeek V3.2 Thinking
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DeepSeek V3.2 Thinking

deepseek-v3.2-think
AI21

Pricing

  • Input Tokens: $0.274 /M tokens
  • Output Tokens: $0.411 /M tokens

Input 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

DeepSeek deepseek-coder
Pricing$0.16$0.32
Context0
Max output0
Latency0.4S
Throughput14.5TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Baidu baidu-deepseek-v3.2-think
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

Performance for deepseek-v3.2-think

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
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Latency
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Throughput
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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-think",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

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

Frequently asked questions

What is the context length of DeepSeek V3.2 Thinking?

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