DeepSeek
DeepSeek V4 Pro
deepseek/deepseek-v4-pro
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Larger DeepSeek V4 model (DeepSeek-V4-Pro-0813) with thinking and non-thinking modes, text only. The V4 family was released with open weights.
Price
- Input
- $1.32 per 1M tokens
- Output
- $3.96 per 1M tokens
- Notes
- Peak-hour list price (cache miss). Off-peak is half: $0.66 in / $1.98 out. Cache-hit input $0.044 peak. DeepSeek says it is phasing V4 Pro out but continues to serve it.
- Source
- DeepSeek pricing , last verified October 8, 2026
No markup on model usage: you pay the provider's list price.
Model
- Context
- 1M (1,000,000 tokens)
- Max output
- 384,000 tokens
- Modality
- Text
- Input
- text
- Output
- text
- Weights
- Open weights
- Released
- August 13, 2026
- Tags
- open-weights, reasoning, coding, long-context
Data policy
- Prompts go to
- DeepSeek (People's Republic of China)
- Retention
- Privacy policy: personal data stored in the PRC and kept as long as necessary to provide the service, may be used to train models, with a right to opt out. No API-specific retention period or ZDR offering published
- Zero data retention
- Not stated by the provider
- Region
- China (PRC)
- Policy
- DeepSeek data policy
Summarised from the provider's published terms. The provider's own policy is what applies.
Call it with any OpenAI SDK
Available when the model is live
from openai import OpenAI
client = OpenAI(
base_url="https://api.safeguard.sh/v1",
api_key="SAFEGUARD_API_KEY",
)
response = client.chat.completions.create(
model="deepseek/deepseek-v4-pro",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Base URL https://api.safeguard.sh/v1, model deepseek/deepseek-v4-pro.
Self-healing security runs on Safeguard.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.