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DeepSeek R1 Distill Qwen 32B
deepseek/deepseek-r1-distill-qwen-32b
DeepSeek R1 Distill Qwen 32B is a distilled large language model based on Qwen 2.5 32B, using outputs from DeepSeek R1. It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.
Other benchmark results include:
AIME 2024 pass@1: 72.6
MATH-500 pass@1: 94.3
CodeForces Rating: 1691
The model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.
Features
Serverless API
Docs
deepseek/deepseek-r1-distill-qwen-32b is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.
On-demand Deployments
Docs
On-demand deployments allow you to use deepseek/deepseek-r1-distill-qwen-32b on dedicated GPUs with high-performance serving stack with high reliability and no rate limits.
Available Serverless
Run queries immediately, pay only for usage
Input$0.3 / M Tokens
Output$0.3 / M Tokens
Use the following code examples to integrate with our API:
1from openai import OpenAI
2
3client = OpenAI(
4 api_key="<Your API Key>",
5 base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9 model="deepseek/deepseek-r1-distill-qwen-32b",
10 messages=[
11 {"role": "system", "content": "You are a helpful assistant."},
12 {"role": "user", "content": "Hello, how are you?"}
13 ],
14 max_tokens=32000,
15 temperature=0.7
16)
17
18print(response.choices[0].message.content)Info
Provider
DeepSeek
Quantization
bf16
Supported Functionality
Context Length
64000
Max Output
32000
Structured Output
Supported
Reasoning
Supported
Input Capabilities
text
Output Capabilities
text