DeepSeek V4 Pro 0813 API

DeepSeek V4 Pro 0813 is the GA release of DeepSeek V4 Pro, a large-scale mixture-of-experts model for chat and reasoning tasks with 1M context length, supporting both standard and thinking modes.

Modalities: TextText
In / Out price: $1.84/$3.68per 1M
Context window: 1.05M tokens
Released: Aug 12, 2026

DeepSeek V4 Pro 0813 overview

DeepSeek V4 Pro 0813 by DeepSeek

DeepSeek V4 Pro 0813 is DeepSeek-AI's production reasoning model for generation, coding, and agentic tool-use workflows.

DeepSeek V4 Pro 0813 specs

Model ID: deepseek/deepseek-v4-pro-0813
Developer: DeepSeek
Context window: 1,048,576 tokens
Max output: 384,000 tokens
Input: Text
Output: Text
API: OpenAI-compatible, base URL https://api.aimlapi.com/v1

What Is DeepSeek V4 Pro 0813 API?

DeepSeek V4 Pro 0813 is DeepSeek-AI’s official DeepSeek-V4-Pro release, described as a reasoning-oriented, text-only model for generation, coding, and agentic tool-use workflows. It is identified as the production release that supersedes the preview model and includes a DSpark speculative-decoding module.

The model is a transformer-based sparse mixture-of-experts system with hybrid compressed sparse attention and heavily compressed attention, and it supports multi-turn messages in OpenAI-compatible format.

Technical Reference

Developer	DeepSeek AI
Model ID	deepseek/deepseek-v4-pro-0813
Release Date	August 11, 2026
Context Window	1,048,576 tokens (~1.0M)
Max Output Tokens	384,000 tokens
Modalities	Text → Text
Capabilities	reasoning, streaming, structured (JSON schema) output, tool/function calling

What DeepSeek V4 Pro 0813 Brings to the Table

Architecture
Transformer-based sparse mixture-of-experts model with hybrid Compressed Sparse Attention, Heavily Compressed Attention, Manifold-Constrained Hyper-Connections, and an attached DSpark speculative-decoding module.

Scale
The model card lists 1.65T total parameters and 49B active parameters, with a vocabulary size of 129,280.

Input and output
It accepts text input and produces text output as string completions and reasoning content.

Reasoning support
The model card states it supports low, high, and max reasoning-effort levels.

Where DeepSeek V4 Pro 0813 Makes the Most Sense

Reasoning workflows
Suitable for multi-step problem solving and other tasks where the model’s reasoning-effort controls are useful.

Coding assistance
Explicitly described as designed for coding tasks.

Agentic tool use
The model is positioned for agentic workflows and tool-use scenarios.

Long-context analysis
Its stated one-million-token input context makes it suitable for long-form text analysis and multi-turn sessions.

DeepSeek V4 Pro 0813 vs the Alternatives

DeepSeek V4 Pro preview
The official release supersedes the preview version and adds DSpark speculative decoding.

DeepSeek V4 Flash
DeepSeek’s API docs list DeepSeek-V4-Flash alongside DeepSeek-V4-Pro as a separate model family entry.

Sources: https://build.nvidia.com/deepseek-ai/deepseek-v4-pro-0813/modelcard · https://fireworks.ai/models/deepseek-ai/deepseek-v4-pro-0813 · https://www.unite.ai/deepseek-ships-v4-pro-as-its-flagship-model-leaves-preview/

Use cases

Text generation, reasoning, coding, and agentic tool-use workflows are documented use cases for DeepSeek-V4-Pro-0813. The model is also described as having greatly enhanced agentic capabilities and being especially strong in production environments.

Capabilities

Reasoning
Streaming

DeepSeek V4 Pro 0813 benchmarks by Artificial Analysis

See how DeepSeek V4 Pro 0813 compares in intelligence, generation speed, cost per task and latency. Data retrieved Nov 3, 2026.

Intelligence#31 / 5023.1Index v5.0 Speed#127 / 21987.2Output tokens / second Cost per task#26 / 44$1.77USD / benchmark task Latency#127 / 2161.79Seconds to first token

Intelligence

Index v5.0

Speed

Output tokens / second

Cost per task

USD / benchmark task

Benchmark results

Compare 7 models available on AI/ML API across 5 independent benchmarks.

Humanity's Last Exam

Expert-written questions across academic subjects.

DeepSeek V4 Pro 0813 API pricing

DeepSeek V4 Pro 0813 pricing in US dollars
Usage	Price	Unit
Input	$1.84	1M tokens
Output	$3.68	1M tokens
Cached input	$0.1534	1M tokens

Prices from the AI/ML API price list, checked on Nov 4, 2026.

DeepSeek V4 Pro 0813 vs other models: token prices

AI/ML API input and output rates for 5 models, per million tokens.

AI/ML API model prices in USD per million tokens
Model	Input	Output
DeepSeek V4 Pro 0813	$1.84	$3.68
DeepSeek Chat (V4.1 Flash)	$0.3	$1.2
DeepSeek V4.1 Flash	$0.3	$1.2
DeepSeek V4 Flash Vision Exp	$0.44	$1.32
DeepSeek V4.1 Flash 1017	$0.39	$1.56

How to use the DeepSeek V4 Pro 0813 API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "deepseek/deepseek-v4-pro-0813",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "deepseek/deepseek-v4-pro-0813",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "deepseek/deepseek-v4-pro-0813",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

DeepSeek V4 Pro 0813 FAQ

What is the context window of DeepSeek V4 Pro 0813?

DeepSeek V4 Pro 0813 has a 1,048,576 tokens context window and can return up to 384,000 tokens.

What inputs and outputs does DeepSeek V4 Pro 0813 support?

DeepSeek V4 Pro 0813 takes text as input and returns text.

What is the model ID for DeepSeek V4 Pro 0813?

Use deepseek/deepseek-v4-pro-0813 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

When was DeepSeek V4 Pro 0813 released?

DeepSeek V4 Pro 0813 became available on August 12, 2026.

How much does DeepSeek V4 Pro 0813 cost?

DeepSeek V4 Pro 0813 costs $1.84 input and $3.68 output per 1M tokens on AI/ML API, billed as you go with no subscription.

Does DeepSeek V4 Pro 0813 support streaming?

Yes, DeepSeek V4 Pro 0813 can stream responses as they are generated.

Who created DeepSeek V4 Pro 0813?

DeepSeek V4 Pro 0813 was built by DeepSeek.

Start building with DeepSeek V4 Pro 0813

Get API key

DeepSeek V4 Pro 0813 API

deepseek/deepseek-v4-pro-0813

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "deepseek/deepseek-v4-pro-0813",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "deepseek/deepseek-v4-pro-0813",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "deepseek/deepseek-v4-pro-0813",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

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DeepSeek V4 Pro 0813 API

DeepSeek V4 Pro 0813 overview

DeepSeek V4 Pro 0813 by DeepSeek

DeepSeek V4 Pro 0813 specs

What Is DeepSeek V4 Pro 0813 API?

Technical Reference

What DeepSeek V4 Pro 0813 Brings to the Table

Where DeepSeek V4 Pro 0813 Makes the Most Sense

DeepSeek V4 Pro 0813 vs the Alternatives

Use cases

Capabilities

DeepSeek V4 Pro 0813 benchmarks by Artificial Analysis

Intelligence

Speed

Cost per task

Benchmark results

Humanity's Last Exam

GPQA Diamond

Terminal-Bench 4.0

AA-LCR

SciCode

DeepSeek V4 Pro 0813 API pricing

DeepSeek V4 Pro 0813 vs other models: token prices

How to use the DeepSeek V4 Pro 0813 API

Build with your agent

1Get your API key

2Make your first request

DeepSeek V4 Pro 0813 FAQ

Start building with DeepSeek V4 Pro 0813

DeepSeek V4 Pro 0813 API

Build with your agent

1Get your API key

2Make your first request

DeepSeek V4 Pro 0813 API

DeepSeek V4 Pro 0813 overview

DeepSeek V4 Pro 0813 by DeepSeek

DeepSeek V4 Pro 0813 specs

What Is DeepSeek V4 Pro 0813 API?

Technical Reference

What DeepSeek V4 Pro 0813 Brings to the Table

Where DeepSeek V4 Pro 0813 Makes the Most Sense

DeepSeek V4 Pro 0813 vs the Alternatives

Use cases

Capabilities

Intelligence

Speed

Cost per task

Benchmark results

Humanity's Last Exam

GPQA Diamond

Terminal-Bench 4.0

AA-LCR

SciCode

DeepSeek V4 Pro 0813 API pricing

DeepSeek V4 Pro 0813 vs other models: token prices

How to use the DeepSeek V4 Pro 0813 API

Build with your agent

1Get your API key

2Make your first request

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DeepSeek V4 Pro 0813 FAQ

Start building with DeepSeek V4 Pro 0813