Using DeepSeek Coder 33B on Fireworks AI
Implementation guide · DeepSeek Coder · DeepSeek
ProvisionedOpen Weights
Fireworks AI exposes DeepSeek Coder 33B through model ID deepseek-coder-33b. 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
deepseek-coder-33b— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
FIREWORKS_API_KEYModel ID
deepseek-coder-33bFireworks 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-coder-33b",
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
Structured Outputs
About DeepSeek Coder 33B
DeepSeek Coder 33B is DeepSeek's DeepSeek Coder model focused on code generation and software engineering. It offers a 16K-token context window with weights openly available for self-hosting and scores 57.1 on HumanEval.
Model Specs
Released2024-03-07
Parameters33B
Context16k
ArchitectureDecoder Only
Knowledge cutoff2023-03