DeepSeek V3 Coder API

DeepSeek V3 Coder is an advanced code language model developed by DeepSeek AI. It is trained on 2 trillion tokens, consisting of 87% code and 13% natural language in English and Chinese. This model supports project-level code completion and infilling tasks, making it highly effective for coding tasks. With various sizes available, from 1B to 33B parameters, users can choose the best fit for their needs.

import OpenAI from "openai"

const openai = new OpenAI({
  baseURL: "https://api.aiapilab.com/v1",
  apiKey: $AIAPILAB_API_KEY
})

async function main() {
  const completion = await openai.chat.completions.create({
    model: "deepseek-coder",
    messages: [
      {
        "role": "user",
        "content": "Write a blog about cat."
      }
    ]
  })

  console.log(completion.choices[0].message)
}
main()

from openai import OpenAI

client = OpenAI(
  base_url="https://api.aiapilab.com/v1",
  api_key="$AIAPILAB_API_KEY",
)

completion = client.chat.completions.create(
  model="deepseek-coder",
  messages=[
    {
      "role": "user",
      "content": "Write a blog about cat."
    }
  ]
)
print(completion.choices[0].message.content)

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DeepSeek V3 Coder API Pricing (per million token)

Context65536

Input$0.15 / M

Output$0.3 / M

Description

DeepSeek V3 Coder was created by DeepSeek AI and launched in 2024. This model allows code to write itself. It uses a vast amount of data, built on 2 trillion tokens. Of these, 87% is code and 13% is natural language. The model can work with over 338 programming languages, giving users great flexibility.

DeepSeek V3 Coder comes in several sizes. These include 1.3 billion, 5.7 billion, 6.7 billion, and 33 billion parameters. Each version is fine-tuned for top performance. For example, the 33 billion parameter model beats other open-source models like CodeLlama by a lot.

The model is great at generating and completing code. It can handle project-level code completion with a 16k token window. It also has a unique fill-in-the-blank feature. Additionally, DeepSeek V3 Coder shows strong skills in math, achieving 75.7% accuracy on math tasks.

The model performs well in real coding jobs. It can detect bugs and help with code refactoring. In tests, DeepSeek V3 Coder often ranks first, proving its abilities in coding benchmarks.

Overall, DeepSeek V3 Coder raises the bar for open-source code models. It helps developers code more efficiently. For better service and support, consider using our AIAPILAB services to integrate this model at a lower price.

Model API Use Case

DeepSeek V3 Coder API helps developers code better and faster. It works with over 338 programming languages. This makes it useful in many coding situations. It is great for generating code, completing tasks, and fixing errors. 

A software team can use this API for code reviews. They can check their code for bugs and problems. This saves them hours of work and boosts productivity by 30%. 

In tests, DeepSeek V3 Coder did better than Code Llama. It scored 7.9% higher on the HumanEval Python test, reaching 90.2% accuracy. It also did well in math tasks, with a score of 75.7%. 

The API is also helpful for students. They can create code snippets for their homework and get quick feedback. Since it is open-source, developers can change it to meet their project needs. This encourages new ideas in coding. 

For more information, check out the official DeepSeek V3 Coder [GitHub page](https://github.com/deepseek-ai/DeepSeek-Coder).

Model Review

Pros

1. DeepSeek V3 Coder generates clean, efficient code rapidly, enhancing productivity for developers. 2. The model adapts to diverse programming languages, making it a versatile tool for various projects. 3. It excels in mathematical reasoning, solving complex problems with impressive accuracy. 4. DeepSeek V3 Coder detects bugs effectively, streamlining the debugging process for users. 5. Its advanced project-level completion capabilities save time on coding tasks, boosting efficiency.

Cons

DeepSeek V3 Coder can require substantial computational resources. Running larger models needs powerful hardware. The model may generate incorrect or suboptimal code. Users must review outputs carefully to ensure accuracy. Documentation can be sparse or unclear at times. This may hinder new users from fully utilizing the model.

Comparison

Feature/Aspect	GPT-4 Turbo	CodeLlama-34B	DeepSeek V3 Coder
Availability	Available via OpenAI API and ChatGPT	Available via Hugging Face and API	Open-source, available via Hugging Face and GitHub
Training Data	1.5 trillion tokens (varied)	1.8 trillion tokens (varied)	2 trillion tokens (87% code, 13% natural language)
Context Window	8,000 tokens	4,000 tokens	16,000 tokens
Model Size Options	175B	34B	1.3B, 5.7B, 6.7B, 33B
Supported Languages	100+ programming languages	80 programming languages	338 programming languages
Performance Benchmarks	Industry-leading in various benchmarks	Competitive but lower than DeepSeek V3 Coder	State-of-the-art on HumanEval, MBPP, DS-1000
Specialized Capabilities	Advanced reasoning, general coding, and writing tasks	General coding tasks	Project-level code completion, infilling, and bug detection

API

import OpenAI from "openai"

const openai = new OpenAI({
  baseURL: "https://api.aiapilab.com/v1",
  apiKey: $AIAPILAB_API_KEY
})

async function main() {
  const completion = await openai.chat.completions.create({
    model: "deepseek-coder",
    messages: [
      {
        "role": "user",
        "content": "Write a blog about cat."
      }
    ]
  })

  console.log(completion.choices[0].message)
}
main()

from openai import OpenAI

client = OpenAI(
  base_url="https://api.aiapilab.com/v1",
  api_key="$AIAPILAB_API_KEY",
)

completion = client.chat.completions.create(
  model="deepseek-coder",
  messages=[
    {
      "role": "user",
      "content": "Write a blog about cat."
    }
  ]
)
print(completion.choices[0].message.content)

FAQ

Q1：What is DeepSeek V3 Coder?  
A1：DeepSeek V3 Coder is an open-source code language model. It excels in coding tasks.

Q2：How can I use the DeepSeek V3 Coder API?  
A2：You can call the API using standard HTTP requests. Include your model and prompt.

Q3：What programming languages does DeepSeek V3 Coder support?  
A3：DeepSeek V3 Coder supports over 338 programming languages. It covers a wide range of coding needs.

Q4：How do I handle code completion with DeepSeek V3 Coder?  
A4：Provide a code prompt. The model generates code based on your input.

Q5：Can I run DeepSeek V3 Coder locally?  
A5：Yes, you can run it locally using Hugging Face’s transformers library. Ensure adequate resources.