---
title: DeepSeek V3 0324 API | Text Generation | ModelsLab
description: Powerful 685B-parameter Mixture-of-Experts LLM with 128K context window, advanced reasoning, coding, and math skills—ideal for AI chatbots, enterprise.
url: https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-V3/api.md
canonical: https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-V3/api.md
type: product
component: Playground/LLM/Index
generated_at: 2026-04-15T02:05:30.428568Z
---

DeepSeek V3-0324
---

 [LLMs.txt](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-V3/llms.txt) [.md](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-V3.md)

deepseek-ai-DeepSeek-V3 deepseek Closed Source Model $0.485000 / call

DeepSeek V3-0324
---

Choose a prompt below to get started or type your own message

 Explain quantum computing in simple terms

 Write a Python function to sort a list

 Create a marketing email for a SaaS product

 Compare REST vs GraphQL APIs

Send

### DeepSeek V3-0324

deepseek deepseek-ai-DeepSeek-V3

Copy model ID

PricingInput $0.20 / 1M tokens

Output $0.77 / 1M tokens

API EndpointsOpenAI Compatible

`https://modelslab.com/api/v7/llm/chat/completions`Endpoint

Anthropic Compatible

`https://modelslab.com/api/v7/llm/v1/messages`Messages

`https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens

`https://modelslab.com/api/v7/llm/v1/models`Models

Use with Claude Code

cURL Example

ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses.

Temperature0.7

Max Tokens1000

Top P0.9

Frequency Penalty0

Presence Penalty0

Model Info

Support

Related Models
---

Discover similar models you might be interested in

 [View all LLM Models](https://modelslab.com/models?feature=llmaster)

[OG](https://modelslab.com/models/open_router/openai-gpt-5.3-codex)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: GPT-5.3-Codex

Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.3-codex)

[QV](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-VL-72B-Instruct)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen2.5-VL (72B) Instruct

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-VL-72B-Instruct)

[AA](https://modelslab.com/models/open_router/arcee-ai-trinity-large-preview-free)[Open Router](https://modelslab.com/models/open_router)

 [Arcee AI: Trinity Large Preview (free)

Closed Source Model](https://modelslab.com/models/open_router/arcee-ai-trinity-large-preview-free)

[GG](https://modelslab.com/models/open_router/google-gemma-3n-e4b-it-free)[Open Router](https://modelslab.com/models/open_router)

 [Google: Gemma 3n 4B (free)

Closed Source Model](https://modelslab.com/models/open_router/google-gemma-3n-e4b-it-free)

[ML](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-8B-Instruct-Turbo)[Together AI](https://modelslab.com/models/together_ai)

 [Meta Llama 3.1 8B Instruct Turbo

Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-8B-Instruct-Turbo)

[G2](https://modelslab.com/models/google_deepmind/google-gemma-2-27b-it)[ModelsLab](https://modelslab.com/models/google_deepmind)

 [Gemma-2 Instruct (27B)

Closed Source Model](https://modelslab.com/models/google_deepmind/google-gemma-2-27b-it)

[MM](https://modelslab.com/models/open_router/minimax-minimax-m2)[Open Router](https://modelslab.com/models/open_router)

 [MiniMax: MiniMax M2

Closed Source Model](https://modelslab.com/models/open_router/minimax-minimax-m2)

[ZG](https://modelslab.com/models/open_router/z-ai-glm-5-turbo)[Open Router](https://modelslab.com/models/open_router)

 [Z.ai: GLM 5 Turbo

Closed Source Model](https://modelslab.com/models/open_router/z-ai-glm-5-turbo)

[OG](https://modelslab.com/models/open_router/openai-gpt-4o-2024-08-06)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: GPT-4o (2024-08-06)

Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o-2024-08-06)

[OG](https://modelslab.com/models/open_router/openai-gpt-4o-2024-05-13)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: GPT-4o (2024-05-13)

Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-4o-2024-05-13)

[Q2](https://modelslab.com/models/together_ai/Qwen-Qwen2-1.5B)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen 2 (1.5B)

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2-1.5B)

[L3](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-70B)[Together AI](https://modelslab.com/models/together_ai)

 [Llama 3.1 70B

Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-70B)

[DC](https://modelslab.com/models/open_router/deepcogito-cogito-v2.1-671b)[Open Router](https://modelslab.com/models/open_router)

 [Deep Cogito: Cogito v2.1 671B

Closed Source Model](https://modelslab.com/models/open_router/deepcogito-cogito-v2.1-671b)

[Q2](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-14B-Instruct)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen 2.5 14B Instruct

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-14B-Instruct)

[ZG](https://modelslab.com/models/open_router/z-ai-glm-4.7)[Open Router](https://modelslab.com/models/open_router)

 [Z.ai: GLM 4.7

Closed Source Model](https://modelslab.com/models/open_router/z-ai-glm-4.7)

[OG](https://modelslab.com/models/open_router/openai-gpt-5-mini)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: GPT-5 Mini

Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5-mini)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-vl-8b-instruct)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 VL 8B Instruct

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-vl-8b-instruct)

[OG](https://modelslab.com/models/together_ai/openai-gpt-oss-20b)[Together AI](https://modelslab.com/models/together_ai)

 [OpenAI GPT-OSS 20B

Closed Source Model](https://modelslab.com/models/together_ai/openai-gpt-oss-20b)

About DeepSeek V3-0324
---

Powerful 685B-parameter Mixture-of-Experts LLM with 128K context window, advanced reasoning, coding, and math skills—ideal for AI chatbots, enterprise analytics, and complex document processing.

### Technical Specifications

Model IDdeepseek-ai-DeepSeek-V3CategoryLLM ModelsTaskText GenerationPrice$0.485000 per million tokensAddedJuly 22, 2025

### Key Features

- Chat completion and multi-turn conversation API
- Streaming response with token-by-token output
- Function calling and tool use support
- System prompts and role-based messaging
- JSON mode and structured output

### Quick Start

Integrate DeepSeek V3-0324 into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started.

PythonJavaScriptcURLPHP

```
<code>import requests
import json

url = "https://modelslab.com/api/v7/llm/chat/completions"

headers = {
    "Content-Type": "application/json"
}

data = {
        "model_id": "deepseek-ai-DeepSeek-V3",
        "messages": [
            {
                "role": "user",
                "content": "Hello!"
            }
        ],
        "max_tokens": 1000,
        "key": "YOUR_API_KEY"
    }

try:
    response = requests.post(url, headers=headers, json=data)
    response.raise_for_status()  # Raises an HTTPError for bad responses (4XX or 5XX)
    result = response.json()
    print("API Response:")
    print(json.dumps(result, indent=2))
except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err} - {response.text}")
except Exception as err:
    print(f"Other error occurred: {err}")</code>
```

View the [full API documentation](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-V3/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

DeepSeek V3-0324 API costs $0.485000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing)

### Use Cases

- AI chatbots and virtual assistants
- Code generation and developer tools
- Content writing and copywriting automation
- Data analysis, summarization, and extraction

[Learn more about DeepSeek V3-0324](https://modelslab.com/deepseek-v3-0324) [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Deepseek](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing)

DeepSeek V3-0324 FAQ
---

### What is DeepSeek V3-0324?

Powerful 685B-parameter Mixture-of-Experts LLM with 128K context window, advanced reasoning, coding, and math skills—ideal for AI chatbots, enterprise analytics, and complex document processing.

### How do I use the DeepSeek V3-0324 API?

You can integrate DeepSeek V3-0324 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "deepseek-ai-DeepSeek-V3" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does DeepSeek V3-0324 cost?

DeepSeek V3-0324 costs $0.485000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

### What is the DeepSeek V3-0324 model ID?

The model ID for DeepSeek V3-0324 is "deepseek-ai-DeepSeek-V3". Use this ID in your API requests to specify this model.

### Does DeepSeek V3-0324 have a free tier?

Yes, ModelsLab offers a free tier that lets you try DeepSeek V3-0324 and other AI models. Sign up to get free API credits and start building immediately.

---

*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

---
*Generated by ModelsLab - 2026-04-15*