The smallest Gemma 4: handles text and images and runs even on 8GB cards. Suited to cheap high-volume requests and simple assistants.
| MMLU Pro | 60 | |
|---|---|---|
| GPQA Diamond | 43.4 | |
| LiveCodeBench v6 | 44 |
Which GPU does Gemma 4 E2B need?
The entry configuration is 1x RTX3080TI, which delivers around 70 tokens per second. For more parallel requests and headroom on speed, go with 1x H200.
How much does Gemma 4 E2B cost?
An hour of Gemma 4 E2B runs from $0.37 to $8.20 depending on the GPU configuration. Billing is hourly: you pay for server time, not for tokens.
How do I call Gemma 4 E2B from my code?
Once deployed you get an OpenAI-compatible endpoint: point any OpenAI client at the base_url you receive and pass gemma4:e2b as the model name. Code written against the OpenAI API needs no changes.
Does the data stay private?
Yes. Gemma 4 E2B runs on a dedicated GPU server inside a private environment: requests and responses never reach the model vendor and are not used for training.
What context window and license does Gemma 4 E2B have?
Gemma 4 E2B holds 32K tokens of context per request and ships under the Apache 2.0 license, so you can use it commercially on your own hosting terms.