Moduck

DeepSeek: DeepSeek-R1-Distill-Qwen-32B

R1 reasoning distilled into Qwen 2.5 32B for efficient open-weight step-by-step problem solving

Model lab
DeepSeek
Model family
deepseek-thinking

Model resources

Modalitiestext → text
Context window131,072
Maximum output32,768
Input · Context ≤ 32768 tokens · Maximum output 16384 tokensUSD 0.2296 / 1M tokens
Output · Context ≤ 32768 tokens · Maximum output 16384 tokensUSD 0.6888 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to deepseek/deepseek-r1-distill-qwen-32b.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "deepseek/deepseek-r1-distill-qwen-32b"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

DeepSeek-R1-Distill-Qwen-32B API Pricing

TypePrice information
Input · Context ≤ 32768 tokens · Maximum output 16384 tokensUSD 0.2296 / 1M tokens
Output · Context ≤ 32768 tokens · Maximum output 16384 tokensUSD 0.6888 / 1M tokens

Benchmarks

Intelligence Index · v4.38.4
Coding Index—
Agentic Index—

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Performance trends

Throughput89.8 tok/sCurrent
Time to first token1.4 sCurrent
End-to-end latency7.0 sCurrent
Throughput
Current89.8 tok/s
Window average89.0 tok/s
Time to first token
Current1.4 s
Window average1.4 s
End-to-end latency
Current7.0 s
Window average7.5 s
Tail latency (P99)
Current16.1 s
Window average16.4 s
Prompt cache hit rate
Current19.0%
Window average24.0%
Error rate
Current0.0%
Window average0.1%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

DeepSeek-R1-Distill-Qwen-32B Compare models

ModelInput priceOutput priceContext windowCapabilities
DeepSeek-R1-Distill-Qwen-32BThis pageUSD 0.2296 / 1M tokens · Context ≤ 32768 tokens · Maximum output 16384 tokensUSD 0.6888 / 1M tokens · Context ≤ 32768 tokens · Maximum output 16384 tokens131,072Text output · Reasoning
DeepSeek V4 Pro 0813USD 0.3536 / 1M tokensUSD 0.7072 / 1M tokens1,000,000Text output · Reasoning · Tool calling
DeepSeek V4 ProUSD 0.34288 / 1M tokensUSD 0.68568 / 1M tokens1,000,000Text output · Reasoning · Tool calling
DeepSeek V4 Pro 0423USD 1.32 / 1M tokensUSD 2.64 / 1M tokens1,000,000Text output · Reasoning · Tool calling
DeepSeek ReasonerUSD 0.1176 / 1M tokensUSD 0.236 / 1M tokens1,000,000Text output · Reasoning · Tool calling

Model specifications

Input
text
Output
text
Context window
131,072
Maximum output
32,768
Release date
2025-01-20
Attachments
No
Reasoning
Yes
Tool calling
No
Temperature setting
Yes
Open weights
Yes

Frequently asked questions

What is DeepSeek-R1-Distill-Qwen-32B for?

R1 reasoning distilled into Qwen 2.5 32B for efficient open-weight step-by-step problem solving

What inputs and outputs does DeepSeek-R1-Distill-Qwen-32B support?

Recorded inputs: text; outputs: text.

How is DeepSeek-R1-Distill-Qwen-32B priced?

The pricing table shows the current recorded Moduck price. For example: Input · Context ≤ 32768 tokens · Maximum output 16384 tokens USD 0.2296 / 1M tokens; Output · Context ≤ 32768 tokens · Maximum output 16384 tokens USD 0.6888 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for DeepSeek-R1-Distill-Qwen-32B?

Current model records list Context window 131,072 tokens; Maximum output 32,768 tokens.

What model parameter does the Quickstart use?

The example uses deepseek/deepseek-r1-distill-qwen-32b. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.