Using Gemma 2 9B on Fireworks AI

Implementation guide · Gemma 2 · Google DeepMind

ServerlessOpen Weights

Fireworks AI exposes Gemma 2 9B through model ID gemma-2-9b. 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
Create an account at Fireworks AI and generate an API key.
2
Use the Fireworks AI SDK or REST API to call gemma-2-9b — see the documentation for request format.
3
You'll be billed $0.20/1M input, $0.20/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install openai

API key

FIREWORKS_API_KEY

Model ID

gemma-2-9b

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".

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="gemma-2-9b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Fireworks AI

Type	Price (per 1M)
Input tokens	$0.20
Output tokens	$0.20

Capabilities

Structured Outputs

About Gemma 2 9B

Gemma 2 9B is Google DeepMind's Gemma 2 model. It offers an 8K-token context window with weights openly available for self-hosting and scores 52.1 on MMLU PRO.

Full model details →

Model Specs

Released2024-06-27

Parameters9B

Context8k

ArchitectureDecoder Only

San Mateo, California, United States