DeepSeek: DeepSeek-R1
Classic open reasoning model for transparent math, coding, and deliberate problem solving
- Model lab
- DeepSeek
- Model family
- deepseek-thinking
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-r1.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "deepseek/deepseek-r1"
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-R1 API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.56 / 1M tokens |
| Output | USD 1.92 / 1M tokens |
Benchmarks
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.
Artificial Analysis measurement
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-R1 Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| DeepSeek-R1This page | USD 0.56 / 1M tokens | USD 1.92 / 1M tokens | 128,000 | Text output · Reasoning · Tool calling |
| DeepSeek V4 Pro 0813 | USD 0.3536 / 1M tokens | USD 0.7072 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
| DeepSeek V4 Pro | USD 0.34288 / 1M tokens | USD 0.68568 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
| DeepSeek V4 Pro 0423 | USD 1.32 / 1M tokens | USD 2.64 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
| DeepSeek Reasoner | USD 0.1176 / 1M tokens | USD 0.236 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
Model specifications
- Input
- text
- Output
- text
- Context window
- 128,000
- Maximum output
- 32,768
- Release date
- 2025-01-20
- Attachments
- No
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature setting
- Yes
- Open weights
- Yes
Frequently asked questions
What is DeepSeek-R1 for?
Classic open reasoning model for transparent math, coding, and deliberate problem solving
What inputs and outputs does DeepSeek-R1 support?
Recorded inputs: text; outputs: text.
How is DeepSeek-R1 priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.56 / 1M tokens; Output USD 1.92 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for DeepSeek-R1?
Current model records list Context window 128,000 tokens; Maximum output 32,768 tokens.
What model parameter does the Quickstart use?
The example uses deepseek/deepseek-r1. 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.