Models / Chat / DeepSeek R1 Distilled Qwen 1.5B
Small Qwen 1.5B distilled with reasoning capabilities from Deepseek R1. Beats GPT-4o on MATH-500 whilst being a fraction of the size.
Endpoint
RUN INFERENCE
curl -X POST "https://api.together.xyz/v1/chat/completions" \
-H "Authorization: Bearer $TOGETHER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"messages": [{"role": "user", "content": "What are some fun things to do in New York?"}]
}'JSON RESPONSE
RUN INFERENCE
from together import Together
client = Together()
response = client.chat.completions.create(
model="deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
messages=[{"role": "user", "content": "What are some fun things to do in New York?"}],
)
print(response.choices[0].message.content)JSON RESPONSE
RUN INFERENCE
import Together from "together-ai";
const together = new Together();
const response = await together.chat.completions.create({
messages: [{"role": "user", "content": "What are some fun things to do in New York?"}],
model: "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
});
console.log(response.choices[0].message.content)JSON RESPONSE
Model Provider:
DeepSeek
Type:
Chat
Variant:
Distilled
Parameters:
1.5B
Deployment:
✔ Serverless
Quantization
FP16
Context length:
Pricing:
$0.18
Run in playground
Deploy model
Quickstart docs
Deploy DeepSeek R1 Distilled Qwen 1.5B on a dedicated endpoint with custom hardware configuration, as many instances as you need, and auto-scaling.
