CodeGemma 7B on Fireworks AI

Name: CodeGemma 7B on Fireworks AI
Brand: Google DeepMind
SKU: codegemma-7b-fireworks-ai
Price: 0.2 USD

CodeGemma · Google DeepMind

ServerlessOpen Weights

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

Why use CodeGemma 7B on Fireworks AI?

Fireworks AI offers CodeGemma 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.

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/codegemma-7b

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/codegemma-7b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

Use provider model ID "accounts/fireworks/models/codegemma-7b", not the LLMReference slug "codegemma-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.