Discover DeepSeek-V3 offering unmatched speed and accuracy with 671B parameters and Mixture-of-Experts architecture.
DeepSeek-V3, DeepSeek AI's advanced language model, excels in natural language comprehension and generation. Assuring high-quality performance and efficient processing, DeepSeek-V3 employs a Mixture-of-Experts (MoE) framework with 671 billion parameters, activating only 37 billion per token.
DeepSeek-V3 competes with the world's most sophisticated closed-source models and leads the open-source model rankings. Compared to earlier models, it provides a notable improvement in inference speed.
Deepseek v3 model is reported to outperform open-source models such as Llama 3.1 and Qwen 2.5, including HumanEval, MATH-500, and DROP.
Deepseek v3 has demonstrated superior performance over Claude 3.5 across several benchmarks like MMLU, HumanEval, LongBench v2 and MATH-500.
Deepseek v3 has shown remarkable performance against GPT-4o across MMLU-Pro, IF-Eval, LiveCodeBench and Math.
Gain instant access to Deepseek V3 through production API: AI/ML API provides direct connectivity to Deepseek V3.
Access Deepseek v3 Model Card.
Try Playground.
import os
from openai import OpenAI
client = OpenAI(
base_url="<YOUR_API_KEY>",
api_key="https://api.aimlapi.com/v1",
)
response = client.chat.completions.create(
model="deepseek/deepseek-chat",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
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