Models / DeepSeek
Reasoning
Chat
Code
LLM

DeepSeek V4 Pro 0813

The official release of DeepSeek's flagship V4 Pro, coming soon

About model

DeepSeek V4 Pro 0813 is the upcoming official release of DeepSeek's flagship model, superseding the V4 Pro preview. The V4 Pro line is a Mixture-of-Experts design with 1.6T total parameters and 49B active per token, built on the V4 generation's hybrid attention architecture for efficient long-context inference, with reasoning effort adjustable across three modes. Full release details, updated capabilities, and benchmarks arrive with the launch. Coming soon to Together AI.

Total Parameters (49B activated)

1.6T

DeepSeek's flagship MoE architecture

Context Window

512K

Hybrid attention built for efficient long-context inference

Reasoning Modes

3

Deliberation depth adjustable per request

Model key capabilities
  • Flagship-Scale Reasoning: DeepSeek's largest model line, with reasoning effort adjustable across three modes
  • Efficient Long Context: Hybrid attention architecture from the V4 generation, built to keep long-context inference fast and affordable
  • Official Release: Supersedes the V4 Pro preview; full release details and updated benchmarks arrive at launch
  • Production-Ready Infrastructure: 99.9% SLA, available on Together AI serverless infrastructure
Performance benchmarks

Model

FrontierMath Tier 4

GPQA Diamond

HLE

SciCode

GDPval-AA

Terminal-Bench 2.1

Agent Arena

FrontierCode

DeepSWE

2.4%

88.8%

36%

50%

40%

64%

-2.9pp

17.6%

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  • API usage

    • cURL
    • Python
    • Typescript

    Endpoint:

    deepseek-ai/DeepSeek-V4-Pro-0813

    curl -X POST "https://api.together.xyz/v1/chat/completions" \
      -H "Authorization: Bearer $TOGETHER_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "deepseek-ai/DeepSeek-V4-Pro-0813",
        "messages": [
          {
            "role": "user",
            "content": "What are some fun things to do in New York?"
          }
        ]
    }'
    
    from together import Together
    
    client = Together()
    
    response = client.chat.completions.create(
      model="deepseek-ai/DeepSeek-V4-Pro-0813",
      messages=[
        {
          "role": "user",
          "content": "What are some fun things to do in New York?"
        }
      ]
    )
    print(response.choices[0].message.content)
    
    import Together from 'together-ai';
    const together = new Together();
    
    const completion = await together.chat.completions.create({
      model: 'deepseek-ai/DeepSeek-V4-Pro-0813',
      messages: [
        {
          role: 'user',
          content: 'What are some fun things to do in New York?'
         }
      ],
    });
    
    console.log(completion.choices[0].message.content);
    
  • Model card

    Architecture Overview:
    • Mixture-of-Experts model with 1.6T total parameters and 49B activated per token
    • Hybrid attention architecture from DeepSeek's V4 generation for efficient processing of long sequences
    • Reasoning effort adjustable across three modes

    Training Methodology:
    • Official dated release of the V4 Pro line, superseding the preview checkpoint
    • Full training and release details will be published by DeepSeek at launch

    Performance Characteristics:
    • Updated benchmarks for the official release arrive at launch

  • Prompting

    Together AI API Access:
    • At launch, access DeepSeek V4 Pro 0813 via Together AI APIs using the endpoint deepseek-ai/DeepSeek-V4-Pro-0813
    • Authenticate using your Together AI API key in request headers
    • Available soon on Together AI serverless infrastructure

  • Applications & use cases

    Frontier Reasoning Workloads:
    • Apply DeepSeek's flagship line to complex reasoning, coding, and analysis tasks
    • Adjust reasoning depth per request to match task difficulty
    • Details on release-specific strengths arrive at launch

Related models
  • Model provider
    DeepSeek
  • Type
    Reasoning
    Chat
    Code
    LLM
  • Main use cases
    Reasoning
  • Features
    Function Calling
    JSON Mode
  • Intelligence
    High
  • Deployment
    Serverless
    Dedicated
  • Parameters
    1.6T
  • Activated parameters
    49B
  • Context length
    512K
  • Input price

    $1.74 / 1M tokens

    $0.20 (cached)/1M

  • Output price

    $3.48 / 1M tokens

  • Input modalities
    Text
  • Output modalities
    Text
  • Released
    August 12, 2026
  • Category
    Chat