Last refreshed 2026-05-19. 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.
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.
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Model Specs
Released2024-06-17
Parameters236B
Context128k
ArchitectureMixture of Experts
Knowledge cutoff2023-11