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DeepSeek V3.2

DeepSeekReleased Dec 1, 2025

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...

Try in playground
Context window
131K tokens
Max output
64K tokens
Input
text
Output
text
Tokenizer
DeepSeek
Released
Dec 1, 2025
Reasoning
optional

Pricing

Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.

Per 1M tokensProvider+ 3% feeYou pay
Input$0.229$0.0069$0.236
Output$0.343$0.010$0.353
Cache read$0.023$0.0007$0.024

Benchmarks

Design Arena

CategoryEloWin rateRank
3Dmodels121050%#41
ASCII artmodels112941%#42
Codemodels121349.7%#48
Data vizmodels120348.8%#48
Game devmodels119746.7%#50
SVGmodels108941%#54
UI componentsmodels120347.3%#47
Websitesmodels121750.6%#46

Head-to-head preference voting. How we filter and rank

Supported parameters

  • frequency_penalty
  • include_reasoning
  • logit_bias
  • logprobs
  • max_tokens
  • min_p
  • presence_penalty
  • reasoning
  • repetition_penalty
  • response_format
  • seed
  • stop
  • structured_outputs
  • temperature
  • tool_choice
  • tools
  • top_k
  • top_logprobs
  • top_p

Call it

OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model deepseek/deepseek-v3.2.

Code sample language
curl https://api.openkey.ai/v1/chat/completions \
  -H "Authorization: Bearer $OPENKEY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-v3.2",
    "messages": [{"role": "user", "content": "Hello"}]
  }'
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.openkey.ai/v1",
    api_key=os.environ["OPENKEY_API_KEY"],
)

completion = client.chat.completions.create(
    model="deepseek/deepseek-v3.2",
    messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.openkey.ai/v1",
  apiKey: process.env.OPENKEY_API_KEY,
});

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

Questions

How much does DeepSeek V3.2 cost via API?
Through OpenKey, DeepSeek V3.2 costs $0.236 per 1M input tokens and $0.353 per 1M output tokens. That is the provider price ($0.229 / $0.343) plus a flat 3% fee — nothing else.
What is DeepSeek V3.2's context window?
DeepSeek V3.2 accepts up to 131K tokens of context and returns up to 64K tokens per request.
Is DeepSeek V3.2 OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "deepseek/deepseek-v3.2" using any OpenAI SDK — only the base URL and API key change.
What inputs does DeepSeek V3.2 support?
DeepSeek V3.2 accepts text input and produces text output.

More from DeepSeek

All DeepSeek models →