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DeepSeek: DeepSeek V3.2: AI model

DeepSeek V3.2 is a language model with a sparse-attention mechanism (DSA) that combines high compute efficiency with strong reasoning and tool use over long contexts, via Hormouz.

Context window:
163,840 tokens
Input:
$0.26/1M tokens
Output:
$0.8/1M tokens
Type:
text
  • Tools
  • Streaming
  • Long context
Good for:Popular for Health · #11Ranks are based on global usage data

Thinking levels:

DeepSeek V3.2 is designed to harmonize high compute efficiency with strong reasoning and agentic tool use. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse-attention mechanism that lowers training and inference cost while preserving quality in long-context scenarios.

A scalable reinforcement-learning post-training framework further strengthens the model’s reasoning, and V3.2 uses an agentic task-synthesis pipeline to better integrate reasoning with tool use. The reasoning behaviour can be controlled with the reasoning parameter, and its context window runs up to about 128K tokens.

Pricing is usage-based: $3.00/M in · $4.50/M out. Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.

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...

Quickstart

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

Specs

VendorDeepSeek
TypeText
Context window163,840 tokens
Pricing$0.26/M in · $0.80/M out
APIChat Completions
CapabilitiesStreaming · Tools

Benchmarks

44.2
Coding Index
Better than 46% of models we compared

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
84%
HLE
Humanity's Last Exam
24.6%
IFBench
Instruction-following
60.7%
AA-LCR
Long-context reasoning
73.3%
CritPt
Research-level physics reasoning
2.9%
AA Omniscience
Broad factual knowledge accuracy
33%
Non-Hallucination
Rate of avoiding fabricated answers
17.3%

Coding

Terminal-Bench Hard
Agentic coding & terminal use
35.6%

Agentic

τ²-Bench
Tool-use agents in dual-control scenarios
90.6%
GDPval
Economically valuable tasks
9.8%

Source: Artificial Analysis

3D
Top 53%
1,143Elo
Win rate: 49.4%Avg time: 133s
ASCII Art
Top 91%
1,093Elo
Win rate: 40.5%Avg time: 118s
Code
Top 55%
1,170Elo
Win rate: 49.3%Avg time: 184s
Data Viz
Top 59%
1,167Elo
Win rate: 48.2%Avg time: 143s
Game Dev
Top 61%
1,144Elo
Win rate: 46.5%Avg time: 183s
SVG
Top 88%
1,031Elo
Win rate: 40.8%Avg time: 47.8s
UI Component
Top 59%
1,156Elo
Win rate: 46.8%Avg time: 129s
Website
Top 53%
1,181Elo
Win rate: 50.2%Avg time: 202s

Metrics sourced from Design Arena

Code example

cURL
curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-v3.2",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="deepseek/deepseek-v3.2",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
JavaScript
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "deepseek/deepseek-v3.2",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the DeepSeek: DeepSeek V3.2 API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches DeepSeek: DeepSeek V3.2 and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
Create an accountBuy DeepSeek API access, paid in rial

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FAQ

How much does this model cost?
Billing is usage-based: $3.00 per million input tokens and $4.50 per million output tokens. There is no fixed monthly fee. You pay only for what you use.
What is the sparse-attention (DSA) mechanism in DeepSeek V3.2?
DSA is a fine-grained sparse-attention mechanism that lowers training and inference cost while preserving quality over long contexts, improving efficiency on long-context tasks.
What is DeepSeek V3.2 good for?
Reasoning, tool use and agentic applications, especially scenarios where efficiency and long context matter.
How do I access this model from inside Iran?
Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card required.
Is this model compatible with OpenAI code?
Yes. Hormouz exposes an OpenAI-compatible API. Just change the base URL to Hormouz and swap in your Hormouz key, and your existing SDKs run without a rewrite.

Updated 2026-10-13