DeepSeek: DeepSeek V3.2
Hybrid-reasoning DeepSeek model with thinking and non-thinking modes, sparse attention, and tool-use
- Model lab
- DeepSeek
- Model family
- deepseek
Model resources
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to deepseek/deepseek-v3.2.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "deepseek/deepseek-v3.2"
response = requests.post(
f"{base_url}/chat/completions",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
json={
"model": model_id,
"messages": [{"role": "user", "content": "Hello!"}],
"stream": False,
},
timeout=60,
)
response.raise_for_status()
print(response.json())Use the familiar OpenAI-style chat request format to make model integration easier.
DeepSeek V3.2 API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.16704 / 1M tokens |
| Output | USD 0.24768 / 1M tokens |
| Cached input | USD 0.01728 / 1M tokens |
Benchmarks
Non-reasoning
Reasoning
Performance
Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.
Performance trends
Availability
Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.
DeepSeek V3.2 Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| DeepSeek V3.2This page | USD 0.16704 / 1M tokens | USD 0.24768 / 1M tokens | 128,000 | Text output · Reasoning · Tool calling |
| DeepSeek Chat | USD 0.1176 / 1M tokens | USD 0.236 / 1M tokens | 1,000,000 | Text output · Tool calling |
| DeepSeek-V3.1 | USD 0.152 / 1M tokens | USD 0.568 / 1M tokens | 131,072 | Text output · Reasoning · Tool calling |
| DeepSeek V3.1 | USD 0.2 / 1M tokens | USD 0.76 / 1M tokens | 163,840 | Text output · Reasoning · Tool calling |
| DeepSeek V3 0324 | USD 0.2 / 1M tokens · Quantization fp8 | USD 0.8 / 1M tokens · Quantization fp8 | 163,840 | Text output · Tool calling |
Model specifications
- Input
- text
- Output
- text
- Context window
- 128,000
- Maximum output
- 64,000
- Release date
- 2025-12-01
- Attachments
- No
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature setting
- Yes
- Open weights
- Yes
Frequently asked questions
What is DeepSeek V3.2 for?
Hybrid-reasoning DeepSeek model with thinking and non-thinking modes, sparse attention, and tool-use
What inputs and outputs does DeepSeek V3.2 support?
Recorded inputs: text; outputs: text.
How is DeepSeek V3.2 priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.16704 / 1M tokens; Output USD 0.24768 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for DeepSeek V3.2?
Current model records list Context window 128,000 tokens; Maximum output 64,000 tokens.
What model parameter does the Quickstart use?
The example uses deepseek/deepseek-v3.2. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.
Can I call this model through the Moduck API now?
This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.