deepseek-ai/DeepSeek-V3-0324

LLM

DeepSeek's updated V3 model released on 03/24/2025.

参数

集成

Input Schema

以下参数在请求体中被接受。

总计: 9必填: 2可选: 7

modelstringrequired

The model ID to use for the completion.

Example: "deepseek-ai/DeepSeek-V3-0324"

messagesarray[object]required

A list of messages comprising the conversation so far.

rolestringrequired

The role of the message author. One of "system", "user", or "assistant".

systemuserassistant

contentstringrequired

The content of the message.

max_tokensinteger

The maximum number of tokens to generate in the completion.

Default: 1024Min: 1

temperaturenumber

Sampling temperature between 0 and 2. Higher values make output more random, lower values more focused and deterministic.

Default: 0.7Min: 0Max: 2

top_pnumber

Nucleus sampling parameter. The model considers the tokens with top_p probability mass.

Default: 1Min: 0Max: 1

streamboolean

If set to true, partial message deltas will be sent as server-sent events.

Default: false

stoparray[string]

Up to 4 sequences where the API will stop generating further tokens.

frequency_penaltynumber

Penalizes new tokens based on their existing frequency in the text so far. Between -2.0 and 2.0.

Default: 0Min: -2Max: 2

presence_penaltynumber

Penalizes new tokens based on whether they appear in the text so far. Between -2.0 and 2.0.

Default: 0Min: -2Max: 2

请求体示例

json

{
  "model": "deepseek-ai/DeepSeek-V3-0324",
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ],
  "max_tokens": 1024,
  "temperature": 0.7,
  "stream": false
}

DeepSeek-V3-0324

Features

DeepSeek-V3-0324 demonstrates notable improvements over its predecessor, DeepSeek-V3, in several key aspects.

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

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