Pricing
| Pricing | Cache Read |
|---|---|
Pricing | Cache Read |
$1.268$3.804 | $0.1268/M tokens |
Input Modalities
- Text
Output Modalities
- Text
Capabilities
- Thinking
- Tools
- Tool calling
- Structured outputs
Try this model
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AIHUBMIX_API_KEY"],
base_url="https://aihubmix.com/v1",
)
response = client.chat.completions.create(
model="baidu-deepseek-v4-pro-0813",
messages=[
{
"role": "user",
"content": "Hello, how are you?"
}
],
max_tokens=1024,
stream=False,
)
print(response.choices[0].message.content)Frequently asked questions
What is Baidu DeepSeek V4 Pro 0813?
What is the context length of Baidu DeepSeek V4 Pro 0813?
How much does Baidu DeepSeek V4 Pro 0813 cost?
What modalities does Baidu DeepSeek V4 Pro 0813 support?
What capabilities does Baidu DeepSeek V4 Pro 0813 support?
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Who created Baidu DeepSeek V4 Pro 0813?
Compare Baidu DeepSeek V4 Pro 0813
More models from DeepSeek
See all DeepSeek models →DeepSeek-V4-Flash-0731(deepseek-v4-flash-0731) is an open-source MoE large language model developed by the Chinese AI company DeepSeek, with support for a million-token context window. It is designed for coding, complex reasoning, tool use, agentic workflows, and long-document processing. Its advantages include strong performance with fewer active parameters and improved efficiency through DSpark speculative decoding. Compared with DeepSeek V4-Flash Preview, it offers significantly stronger coding and agent capabilities, while outperforming DeepSeek V4-Pro Preview on several benchmarks with fewer active parameters.
- Input: $ 0.142 /M
- Output: $ 0.284 /M
- Web Search: $0.00056/request
DeepSeek’s officially released new multimodal visual-understanding model, DeepSeek‑V4‑Flash‑Vision‑Exp, is experimental in nature and supports multimodal inputs. In pure-text capabilities (agents, reasoning, world knowledge, etc.), DeepSeek‑V4‑Flash‑Vision‑Exp is on par with the official DeepSeek‑V4‑Flash release.
DeepSeek V4 Pro 0813 is DeepSeek’s high-performance general-purpose reasoning and agent model, designed for complex reasoning, coding, long-document analysis, and agentic workflows. It supports thinking and non-thinking modes, a 1M-token context window, up to 384K output, tool calling, and the Responses API. Compared with V4 Flash 0731, Pro prioritizes capability on complex tasks, while Flash focuses on speed, cost efficiency, and high concurrency.
DeepSeek V4 Flash 0731 Fast is a high-speed deployment of DeepSeek’s agentic model provided by Wafer, designed for coding, tool use, and high-volume agent workloads. It preserves the capabilities of V4 Flash 0731 while delivering much faster inference. Compared with V4 Pro, it prioritizes latency and execution efficiency.
(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-flash-0731)DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-pro-0813)DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.( Directly requesting deepseek-v4-pro will route you through the official discount channel.)
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