DeepSeek V3 API

Get DeepSeek-V3 API: unmatched speed and accuracy with 671B parameters and Mixture-of-Experts architecture.

DeepSeek AI

DeepSeek V3

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.

Meta llama 3 introduction

Mixture-of-Experts Architecture

The MoE design activates only essential parameters for each task, optimizing resources and achieving top benchmarks like MMLU (87.1%) and BBH (87.5%).

Multi-Head Latent Attention (MLA)

Multi-Head Latent Attention (MLA) captures critical details effectively, improving accuracy and achieving 90.2% on Math-500.

Multi-Token Prediction (MTP)

MTP generates multiple tokens at once, starting with the causal LM and followed by a "Transformer head," speeding up tasks without sacrificing quality.

Developing with
Deepseek V3 API

Gain instant access to Deepseek V3 through production API: AI/ML API provides direct connectivity to Deepseek V3.

Access Deepseek v3 technical Model Card.
Try Deepseek v3 Free in the Playground.

AIML API Integration
100+ AI Models
AIML API Data Enrichment
Cost-Effective API
Seamless data with AIML API
High Performance
AIML API webhooks icon
Serverless Architecture
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.aimlapi.com/v1",
    api_key="<YOUR_API_KEY>",    
)

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}")
Llama 3 intro
advanced Level

Deepseek V3
Beats GPT-4o and Claude

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.

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Versus Llama 3.1 & Qwen 2.5

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.

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Versus Claude-3.5

Deepseek v3 has demonstrated superior performance over Claude 3.5 across several benchmarks like MMLU, HumanEval, LongBench v2 and MATH-500.

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Versus GPT-4o

Deepseek v3 has shown remarkable performance against GPT-4o across MMLU-Pro, IF-Eval, LiveCodeBench and Math.

How to Get a Deepseek V3 API Key with AI/ML API

Create API Key

In the Playground, navigate to the Key Management section and click on Create API Key. You can easily activate or deactivate your keys as needed.

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Integrate AI

After creating your API key, you can integrate AI models into your application by following the guidelines provided in our API reference.

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Test Deepseek V3 Free

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