Last refreshed 2026-09-24. Next refresh: weekly.
Why use Gemma 2 9B Instruct on Featherless?
Featherless offers Gemma 2 9B Instruct with pay-as-you-go pricing at $0.43/1M input tokens. Featherless is a serverless inference provider for a large catalog of third-party open text-generation models (40,000+).
Compare Gemma 2 9B Instruct across 6 providers to find the best fit for your use caseSetup recipe
Python + curlpip install openaiexport FEATHERLESS_API_KEY=...import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.featherless.ai/v1",google/gemma-2-9b-itRequest example
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.featherless.ai/v1",
api_key=os.environ["FEATHERLESS_API_KEY"],
)
response = client.chat.completions.create(
model="google/gemma-2-9b-it",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "google/gemma-2-9b-it", not the LLMReference slug "gemma-2-9b-it".
- Use exact Featherless catalog id in modelProvider.providerModelId (HF-style org/name). Not interchangeable with LLM Reference slugs.
- The examples expect FEATHERLESS_API_KEY; rename it only if your application config maps the new variable.
Compare Gemma 2 9B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $0.20 | $0.20 |
| NVIDIA NIM | — | — |
| OpenRouter | — | — |
| Chutes AI | $0.10 | $0.30 |
| Replicate API | $0.10 | $0.10 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.43 |
| Output tokens | $1.12 |
Capabilities
About Gemma 2 9B Instruct
Gemma 2 9B Instruct, developed by Google, is a state-of-the-art large language model based on the advanced Gemini framework. It is a decoder-only transformer model with 9 billion parameters, offering a balance between size and performance. The model is trained on an expansive dataset comprising 8 trillion tokens, including web documents, code, and mathematical text, a notable 30% increase from its predecessor, Gemma 1.1. This allows it to adeptly handle diverse tasks such as question answering, creative writing, coding, and mathematical problem-solving.