DeepSeek R1 Distill Qwen-32B on Fireworks AI

Name: DeepSeek R1 Distill Qwen-32B on Fireworks AI
Brand: DeepSeek
SKU: deepseek-r1-distill-qwen-32b-fireworks-ai
Price: 0.9 USD

DeepSeek R1 · DeepSeek

ServerlessOpen Source

Last refreshed 2026-06-01. Next refresh: weekly.

Why use DeepSeek R1 Distill Qwen-32B on Fireworks AI?

Fireworks AI offers DeepSeek R1 Distill Qwen-32B with pay-as-you-go pricing at $0.90/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.

Compare DeepSeek R1 Distill Qwen-32B across 5 providers to find the best fit for your use case

Input / 1M

$0.90

Output / 1M

$0.90

Cache

Not sourced

Batch

Not sourced

Setup recipe

Python + curl

Install

pip install openai

Auth

export FIREWORKS_API_KEY=...

Call

import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],

Model ID

accounts/fireworks/models/deepseek-r1-distill-qwen-32b

Request example

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
    base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
    model="accounts/fireworks/models/deepseek-r1-distill-qwen-32b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

Use provider model ID "accounts/fireworks/models/deepseek-r1-distill-qwen-32b", not the LLMReference slug "deepseek-r1-distill-qwen-32b".
Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.

Compare DeepSeek R1 Distill Qwen-32B Across Providers

Provider	Input (per 1M)	Output (per 1M)
Cloudflare Workers AI	$0.50	$4.88
OpenRouter	$0.29	$0.29
Fireworks AI	$0.90	$0.90
NVIDIA NIM	—	—
Novita AI	$0.30	$0.30

Pricing

Type	Price (per 1M)
Input tokens	$0.90
Output tokens	$0.90

Capabilities

ReasoningStructured Outputs

About DeepSeek R1 Distill Qwen-32B

DeepSeek R1 Distill Qwen-32B is DeepSeek's DeepSeek R1 model with an optional reasoning mode. It offers a 128K-token context window with weights openly available for self-hosting.

Get Started

Model Card Docs Portal Pricing

Model Specs

Released2025-01-20

Parameters32B

Context128k

ArchitectureDecoder Only