DeepSeek: DeepSeek V4 Pro
Open MoE flagship with million-token context for coding and long agent runs
- 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 moduck/deepseek/deepseek-v4-pro.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/deepseek/deepseek-v4-pro"
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 V4 Pro API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.34288 / 1M tokens |
| Output | USD 0.68568 / 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.
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 V4 Pro Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| DeepSeek V4 ProThis page | USD 0.34288 / 1M tokens | USD 0.68568 / 1M tokens | 1,000,000 | 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 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 |
| DeepSeek R1 0528 Qwen3 8B | USD 0.048 / 1M tokens · Context ≤ 128000 tokens · Maximum output 32000 tokens | USD 0.072 / 1M tokens · Context ≤ 128000 tokens · Maximum output 32000 tokens | 131,072 | Text output · Reasoning |
Model specifications
- Input
- text
- Output
- text
- Context window
- 1,000,000
- Maximum output
- 384,000
- Release date
- 2026-04-24
- Attachments
- No
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature setting
- Yes
- Open weights
- Yes
Frequently asked questions
What is DeepSeek V4 Pro for?
Open MoE flagship with million-token context for coding and long agent runs
What inputs and outputs does DeepSeek V4 Pro support?
Recorded inputs: text; outputs: text.
How is DeepSeek V4 Pro priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.34288 / 1M tokens; Output USD 0.68568 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for DeepSeek V4 Pro?
Current model records list Context window 1,000,000 tokens; Maximum output 384,000 tokens.
What model parameter does the Quickstart use?
The example uses moduck/deepseek/deepseek-v4-pro. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.
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.