Using DeepSeek Coder 33B Instruct on Fireworks AI
Implementation guide · DeepSeek Coder · DeepSeek
ServerlessOpen Weights
Fireworks AI exposes DeepSeek Coder 33B Instruct through model ID accounts/fireworks/models/deepseek-coder-33b-instruct. 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
- 2Use the Fireworks AI SDK or REST API to call
accounts/fireworks/models/deepseek-coder-33b-instruct— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
FIREWORKS_API_KEYModel ID
accounts/fireworks/models/deepseek-coder-33b-instructFireworks 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="accounts/fireworks/models/deepseek-coder-33b-instruct",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.90 |
| Output tokens | $0.90 |
Capabilities
No model capability flags are currently sourced.
About DeepSeek Coder 33B Instruct
DeepSeek Coder 33B Instruct is DeepSeek's DeepSeek Coder model focused on code generation and software engineering. Weights are openly available for self-hosting.
Model Specs
Released2024-03-07
Parameters33B
Context16k
ArchitectureDecoder Only
Knowledge cutoff2023-03