DeepSeek Coder 6.7B on Fireworks AI

DeepSeek Coder · DeepSeek

ProvisionedOpen Weights

Last refreshed 2026-05-19. Next refresh: weekly.

Why use DeepSeek Coder 6.7B on Fireworks AI?

Fireworks AI offers DeepSeek Coder 6.7B with pay-as-you-go pricing at $0.20/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.

Compare DeepSeek Coder 6.7B across 2 providers to find the best fit for your use case
Input / 1M
$0.20
Output / 1M
$0.20
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export FIREWORKS_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
Model ID
accounts/fireworks/models/deepseek-coder-7b-base

Request 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="accounts/fireworks/models/deepseek-coder-7b-base",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "accounts/fireworks/models/deepseek-coder-7b-base", not the LLMReference slug "deepseek-coder-6.7b".
  • 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.

Compare DeepSeek Coder 6.7B Across Providers

ProviderInput (per 1M)Output (per 1M)
Fireworks AI$0.20$0.20
NVIDIA NIM——

Pricing

TypePrice (per 1M)
Input tokens$0.20
Output tokens$0.20

Capabilities

No model capability flags are currently sourced.

About DeepSeek Coder 6.7B

DeepSeek Coder 6.7B is DeepSeek's DeepSeek Coder model focused on code generation and software engineering. It is deprecated (originally released 2024-03-07); use it only for reproducing earlier results or evaluating drift over time.

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Model Specs

Released2024-03-07
Parameters6.7B
Context4k
ArchitectureDecoder Only