---
title: DeepSeek R1 Distill Qwen 1.5B | Text Generation | ModelsLab
description: Ultra-efficient 1.5B parameter language model fine-tuned for advanced multi-step reasoning and math tasks, optimized for edge deployment with 4-bit and.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/deepseek-ai-deepseek-r1-distill-qwen-1.5b.md
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/deepseek-ai-deepseek-r1-distill-qwen-1.5b.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-13T10:56:15.431855Z
---

DeepSeek R1 Distill Qwen 1.5B
---

 [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B.md)

deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B deepseek Closed Source Model $0.180000 / call

DeepSeek R1 Distill Qwen 1.5B
---

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 R1 Distill Qwen 1.5B

deepseek deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B

Copy model ID

PricingInput $0.18 / 1M tokens

Output $0.18 / 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-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5-image)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-5 Image

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5-image)

[D1](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/agentica-org-DeepCoder-14B-Preview)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Deepcoder 14B Preview

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/agentica-org-DeepCoder-14B-Preview)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.5)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-5.5

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.5)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/MiniMaxAI-MiniMax-M1-40k)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Minimax M1 40K

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/MiniMaxAI-MiniMax-M1-40k)

[NN](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nvidia-nemotron-nano-12b-v2-vl-free)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [NVIDIA: Nemotron Nano 12B 2 VL (free)

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nvidia-nemotron-nano-12b-v2-vl-free)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.4-image-2)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-5.4 Image 2

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5.4-image-2)

[DD](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-chat-v3.1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [DeepSeek: DeepSeek V3.1

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepseek-deepseek-chat-v3.1)

[XM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/xiaomi-mimo-v2-omni)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Xiaomi: MiMo-V2-Omni

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/xiaomi-mimo-v2-omni)

[ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-Llama-3-8b-chat-hf)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Meta Llama 3 8B Instruct Reference

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-Llama-3-8b-chat-hf)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-medium-3.1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Mistral: Mistral Medium 3.1

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-medium-3.1)

[Q8](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-8B-Lora)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen3 8B Lora

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-8B-Lora)

[![Gemini 2.0 Flash](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/f05a6bc4-dd20-49cc-bc2f-8a1c9b25e930.png)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google/gemini-2.0-flash-001)[Google](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google)

 [Gemini 2.0 Flash

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/google/gemini-2.0-flash-001)

[PS](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/perplexity-sonar)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Perplexity: Sonar

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/perplexity-sonar)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5-codex)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-5 Codex

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5-codex)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/MiniMaxAI-MiniMax-M1-80k)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Minimax M1 80K

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/MiniMaxAI-MiniMax-M1-80k)

[MW](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mancer-weaver)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Mancer: Weaver (alpha)

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mancer-weaver)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-next-80b-a3b-instruct-free)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen3 Next 80B A3B Instruct (free)

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-next-80b-a3b-instruct-free)

[Q1](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-14B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen2.5 14B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-14B)

About DeepSeek R1 Distill Qwen 1.5B
---

Ultra-efficient 1.5B parameter language model fine-tuned for advanced multi-step reasoning and math tasks, optimized for edge deployment with 4-bit and 5-bit quantized versions.

### Technical Specifications

Model IDdeepseek-ai-DeepSeek-R1-Distill-Qwen-1.5BCategoryLLM ModelsTaskText GenerationPrice$0.180000 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 R1 Distill Qwen 1.5B 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-ai-DeepSeek-R1-Distill-Qwen-1.5B",
        "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-ai-DeepSeek-R1-Distill-Qwen-1.5B/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

DeepSeek R1 Distill Qwen 1.5B API costs $0.180000 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 R1 Distill Qwen 1.5B](https://modelslab-frontend-v2-927501783998.us-east4.run.app/deepseek-r1-distill-qwen-15b) [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 R1 Distill Qwen 1.5B FAQ
---

### What is DeepSeek R1 Distill Qwen 1.5B?

Ultra-efficient 1.5B parameter language model fine-tuned for advanced multi-step reasoning and math tasks, optimized for edge deployment with 4-bit and 5-bit quantized versions.

### How do I use the DeepSeek R1 Distill Qwen 1.5B API?

You can integrate DeepSeek R1 Distill Qwen 1.5B 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-R1-Distill-Qwen-1.5B" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does DeepSeek R1 Distill Qwen 1.5B cost?

DeepSeek R1 Distill Qwen 1.5B costs $0.180000 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 R1 Distill Qwen 1.5B model ID?

The model ID for DeepSeek R1 Distill Qwen 1.5B is "deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B". Use this ID in your API requests to specify this model.

### Does DeepSeek R1 Distill Qwen 1.5B have a free tier?

Yes, ModelsLab offers a free tier that lets you try DeepSeek R1 Distill Qwen 1.5B 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*