Last refreshed 2026-04-15. Next refresh: weekly.
Why use DeepSeek Coder V2 Instruct on Fireworks AI?
Fireworks AI offers DeepSeek Coder V2 Instruct with pay-as-you-go pricing at $1.20/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Input / 1M
$1.20
Output / 1M
$1.20
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FIREWORKS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],Model ID
deepseek-coder-v2-instructRequest example
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)Gotchas
- 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".
- The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.20 |
| Output tokens | $1.20 |
Capabilities
No model capability flags are currently sourced.
FAQ
What does DeepSeek Coder V2 Instruct cost on Fireworks AI?
On Fireworks AI, DeepSeek Coder V2 Instruct costs $1.2 per 1M input tokens and $1.2 per 1M output tokens.
What is the context window for DeepSeek Coder V2 Instruct on Fireworks AI?
DeepSeek Coder V2 Instruct supports a 128,000 token context window on Fireworks AI.
Who created DeepSeek Coder V2 Instruct?
DeepSeek Coder V2 Instruct was created by DeepSeek as part of the DeepSeek Coder V2 model family.
Is DeepSeek Coder V2 Instruct open source?
DeepSeek Coder V2 Instruct is open source according to the seed data.
Get Started
Model Specs
Released2024-06-17
Parameters236B
Context128K
ArchitectureMixture of Experts