deepseek-ai/DeepSeek-V3-0324

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

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DeepSeek LLM Models
deepseek-ai/DeepSeek-V3-0324
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DeepSeek's updated V3 model released on 03/24/2025.

Parameter

Integrasi

Input Schema

Parameter berikut diterima di isi permintaan.

Total: 9Wajib: 2Opsional: 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

Contoh Isi Permintaan

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.

Image 12: 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

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