Using Together AI - Gemma 3n-e4B on Together AI
Implementation guide · Gemma 3 · Google DeepMind
ServerlessOpen Source
Quick Start
- 1
- 2Use the Together AI SDK or REST API to call
gemma-3n-e4b— see the documentation for request format. - 3
Code Examples
Install
pip install togetherAPI key
TOGETHER_API_KEYModel ID
gemma-3n-e4bTogether uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="gemma-3n-e4b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)About Together AI
Platform for running open-source and proprietary LLMs
Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.
Pricing on Together AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.02 |
| Output tokens | $0.04 |
Capabilities
Function CallingTool UseStructured Outputs
About Together AI - Gemma 3n-e4B
Efficient 4B parameter model from Google, available on Together AI. Gemma 3 nano-edge model optimized for low-latency inference.
Model Specs
Released2026-03-15
Parameters4B
Context8K
ArchitectureDecoder Only
Knowledge cutoff2024-06