deepseek-ai/DeepSeek-V3-0324

Created 3/25/2025

deepseek-ai

$0.72 / M Tokens

Live

DeepSeek-V3-0324 demonstrates notable improvements over its predecessor, DeepSeek-V3, in several key aspects. Model Performance Reasoning Capabilities Significant improvements in benchmark performance: MMLU-Pro: 75.9 → 81.2 (+5.3) GPQA: 59.1 → 68.4 (+9.3) AIME: 39.6 → 59.4 (+19.8) LiveCodeBench: 39.2 → 49.2 (+10.0) Front-End Web Development Improved the executability of the code More aesthetically pleasing web pages and game front-ends Chinese Writing Proficiency Enhanced style and content quality: Aligned with the R1 writing style Better quality in medium-to-long-form writing Feature Enhancements Improved multi-turn interactive rewriting Optimized translation quality and letter writing Chinese Search Capabilities Enhanced report analysis requests with more detailed outputs Function Calling Improvements Increased accuracy in Function Calling, fixing issues from previous V3 versions

Text Generation

Model Usage

Code Examples

Get started with code samples in your preferred language

Chat Example

Basic example of chat with the selected model

curl

1curl https://api.targon.com/v1/chat/completions \
2  -H "Content-Type: application/json" \
3  -H "Authorization: Bearer YOUR_API_KEY" \
4  -N \
5  -d '{
6    "model": "deepseek-ai/DeepSeek-V3-0324",
7    "stream": true,
8    "messages": [
9      {"role": "system", "content": "You are a helpful programming assistant."},
10      {"role": "user", "content": "Write a bubble sort implementation in Python with comments explaining how it works"}
11    ],
12    "temperature": 0.7,
13    "max_tokens": 256,
14    "top_p": 0.1,
15    "frequency_penalty": 0,
16    "presence_penalty": 0
17  }'

Completions Example

Basic example of completions with the selected model

curl

1curl https://api.targon.com/v1/completions \
2    -H "Content-Type: application/json" \
3    -H "Authorization: Bearer YOUR_API_KEY" \
4    -N \
5    -d '{
6      "model": "deepseek-ai/DeepSeek-V3-0324",
7      "stream": true,
8      "prompt": "The x y problem is",
9      "temperature": 0.7,
10      "max_tokens": 256,
11      "top_p": 0.1,
12      "frequency_penalty": 0,
13      "presence_penalty": 0
14    }'