API providers, route pricing, availability, and recent reliability signals.
Latency, throughput, and reliability signals from recent traffic.
Effective prices over the last 30 days, with current provider list prices for context.
Daily gateway activity over the last 30 days, with current UTC-day pace projection.
Public apps observed in gateway usage for this model.
Uptime trend for this model over the last 24 hours.
Start calling this model with endpoint-specific examples.
Key dates, capabilities, and model metadata.
Commercial plans and bundled access that currently include this model.
Google: Gemma 3n E4B (Free)
Weighted provider pricing over the last 30 days, with recent route pricing history below.
Public apps observed in gateway usage for this model.
Uptime trend for this model over the last 24 hours.
Start calling this model with endpoint-specific examples.
Key dates, capabilities, and model metadata.
Token volume and request traffic for this model over time.
API providers, route pricing, availability, and recent reliability signals.
-- | -- | -- | -- | -- | |
20 May 2025·14 months ago
25 Jun 2025·13 months ago
Not listed
Not listed
Parameters
Not listed
License
Gemma
Training Tokens
Not listed
Input
Output
Latency, throughput, and reliability signals from recent traffic.
Choose a supported endpoint, pick a main language, then select the example style you want to copy.
Supported API reference routes for this model.
import Phaseo from '@phaseo/sdk';
const client = new Phaseo({
apiKey: process.env.PHASEO_API_KEY,
});
const response = await client.generateResponse({
"model": "google/gemma-3n-e4b:free",
"input": "Give me one fun fact about cURL."
});
const outputText = response.output
?.flatMap((item) => item.content ?? [])
.find((item) => item.type === "output_text")
?.text;
console.log(outputText ?? response);Parameters
Aggregated across active providers for the responses route.
Routing will select a compatible provider when a parameter narrows availability, so this list stays model-facing instead of provider-facing.
| Parameter | Description |
|---|---|
temperature | Controls how random token selection can be. |
top_p | Applies nucleus sampling by limiting candidates to a probability mass threshold. |
top_k | Restricts sampling to the top-k candidate tokens on providers that expose it. |
max_tokens | Caps output length on endpoints and providers that use the max_tokens field name. |
frequency_penalty | Discourages repeated tokens in proportion to how often they already appeared. |
presence_penalty | Encourages the model to explore new wording or topics after they first appear. |
repetition_penalty | Applies provider-specific anti-repetition behavior outside the classic penalty fields. |
stop | Defines one or more sequences that terminate generation early. |
logit_bias | Adjusts token selection bias directly when a provider exposes logit control. |
min_p | Narrows sampling by discarding tokens below a minimum probability threshold. |
Weighted by routed usage over the last 30 days; external and non-routable providers are excluded.
Weighted input price
--
Per 1M tokens
Weighted output price
--
Per 1M tokens
 Google AI Studio | -- | -- | -- |