Using DeepSeek R1 0528 Qwen3-8B on Fireworks AI

Implementation guide · Qwen3 · Alibaba

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Fireworks AI exposes DeepSeek R1 0528 Qwen3-8B through model ID deepseek-r1-0528-qwen3-8b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-19. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Fireworks AI and generate an API key.
  2. 2
    Use the Fireworks AI SDK or REST API to call deepseek-r1-0528-qwen3-8b — see the documentation for request format.
  3. 3
    You'll be billed $0.20/1M input, $0.20/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
FIREWORKS_API_KEY
Model ID
deepseek-r1-0528-qwen3-8b

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".

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="deepseek-r1-0528-qwen3-8b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Fireworks AI

TypePrice (per 1M)
Input tokens$0.20
Output tokens$0.20

Capabilities

Reasoning

About DeepSeek R1 0528 Qwen3-8B

DeepSeek R1 0528 Qwen3-8B is Alibaba's Qwen3 model with an optional reasoning mode. It offers a 160K-token context window with weights openly available for self-hosting.

Model Specs

Released2025-01-01
Parameters671B
Context160k
ArchitectureDecoder Only

Provider

Fireworks AI

San Mateo, California, United States