Using DeepSeek Coder V2 Instruct on Fireworks AI
Implementation guide · DeepSeek Coder V2 · DeepSeek
ServerlessOpen Weights
Fireworks AI exposes DeepSeek Coder V2 Instruct through model ID deepseek-coder-v2-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
deepseek-coder-v2-instruct— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
FIREWORKS_API_KEYModel ID
deepseek-coder-v2-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="deepseek-coder-v2-instruct",
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 Instruct
DeepSeek Coder V2 Instruct is DeepSeek's DeepSeek Coder V2 model 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