---
title: DeepSeek: DeepSeek V3.1 Terminus | Text Generation | ModelsLab
description: Top open-weight LLM with 671B params (37B active), 128K+ context, FP8 inference for fast coding, agentic tools, search/research workflows.[1][2][3]
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/deepseek/deepseek-deepseek-v3.1-terminus/api.md
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/deepseek/deepseek-deepseek-v3.1-terminus/api.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-13T10:32:59.370063Z
---

DeepSeek: DeepSeek V3.1 Terminus
---

 [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-v3.1-terminus/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/deepseek/deepseek-deepseek-v3.1-terminus.md)

deepseek-deepseek-v3.1-terminus deepseek Closed Source Model $0.610000 / call

DeepSeek: DeepSeek V3.1 Terminus
---

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

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### DeepSeek: DeepSeek V3.1 Terminus

deepseek deepseek-deepseek-v3.1-terminus

Copy model ID

PricingInput $0.27 / 1M tokens

Output $0.95 / 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

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About DeepSeek: DeepSeek V3.1 Terminus
---

DeepSeek-V3.1 Terminus is an update to \[DeepSeek V3.1\](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...

### Technical Specifications

Model IDdeepseek-deepseek-v3.1-terminusCategoryLLM ModelsTaskText GenerationPrice$0.610000 per million tokensAddedFebruary 20, 2026

### 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: DeepSeek V3.1 Terminus into your application with a single API call. Get your API key from the [pricing page](https://modelslab-frontend-v2-927501783998.us-east4.run.app/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-deepseek-v3.1-terminus",
        "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-frontend-v2-927501783998.us-east4.run.app/models/deepseek/deepseek-deepseek-v3.1-terminus/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

DeepSeek: DeepSeek V3.1 Terminus API costs $0.610000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab-frontend-v2-927501783998.us-east4.run.app/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: DeepSeek V3.1 Terminus](https://modelslab-frontend-v2-927501783998.us-east4.run.app/deepseek-deepseek-v31-terminus) [Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Deepseek](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing)

DeepSeek: DeepSeek V3.1 Terminus FAQ
---

### What is DeepSeek: DeepSeek V3.1 Terminus?

DeepSeek-V3.1 Terminus is an update to \[DeepSeek V3.1\](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...

### How do I use the DeepSeek: DeepSeek V3.1 Terminus API?

You can integrate DeepSeek: DeepSeek V3.1 Terminus into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "deepseek-deepseek-v3.1-terminus" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does DeepSeek: DeepSeek V3.1 Terminus cost?

DeepSeek: DeepSeek V3.1 Terminus costs $0.610000 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: DeepSeek V3.1 Terminus model ID?

The model ID for DeepSeek: DeepSeek V3.1 Terminus is "deepseek-deepseek-v3.1-terminus". Use this ID in your API requests to specify this model.

### Does DeepSeek: DeepSeek V3.1 Terminus have a free tier?

Yes, ModelsLab offers a free tier that lets you try DeepSeek: DeepSeek V3.1 Terminus 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 - 2026-05-13*