Using DeepSeek Coder V2 on Fireworks AI
Implementation guide · DeepSeek Coder V2 · DeepSeek
ServerlessProvisionedOpen Weights
Fireworks AI exposes DeepSeek Coder V2 through model ID deepseek-coder-v2. 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-v2— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
FIREWORKS_API_KEYModel ID
deepseek-coder-v2Fireworks 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-v2",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.20 |
| Output tokens | $1.20 |
Capabilities
No model capability flags are currently sourced.
About DeepSeek Coder V2
DeepSeek Coder V2 is a language model from DeepSeek focused on code generation and software engineering. It offers a 128K-token context window with weights openly available for self-hosting.
Model Specs
Released2024-06-17
Parameters236B
Context128k
ArchitectureMixture of Experts
Knowledge cutoff2023-11