Gemma 4 E2B
everyais/gemma-4-e2b
Gemma 4 E2B (everyais/gemma-4-e2b) availability, capabilities, context limits, and public reference pricing on everyais.
Available now
Method
The page starts with current public catalog metadata and reference costs; operational metrics are added only when measured samples are available.
Source and update
GET /models/catalogUpdated
- Model type
- Chat
- Released
- 2026-05-07
- Context window
- 128K
- Price unit
- Per 1M tokens
- Maximum output
- -
- Model reference price (USD)
- Input / 1M tokens
- $0.04
- Output / 1M tokens
- $0.08
Capabilities
- ✓ Reasoning
Supported endpoints
- /v1/chat/completions
Usage and availability trend
Daily tokensInputOutput
Last 2 days · 2026-09-27 Input 3,815 · Output 1,069 tokens (partial day in progress).
Daily availability (success rate %)
Insufficient sample — not enough requests to publish a success rate.
Code example
Use the OpenAI SDK by changing only base_url.
from openai import OpenAI
client = OpenAI(
api_key="everyais_...",
base_url="https://api.everyais.com/v1",
)
response = client.chat.completions.create(
model="everyais/gemma-4-e2b",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Compare models side by side
Compare capabilities, context windows, and reference prices to find a model for your use case. Your actual billed rate can differ by account.