
Gemma 4 E4B is a Google open multimodal chat model with image input, function calling, structured output, and efficient instruction following.
Gemma 4 E4B is a Google open multimodal chat model with image input, function calling, structured output, and efficient instruction following.
Supports text and image input, streaming, function tools, structured JSON output, seed control, and thinking mode on by default. Billing is per successful message.
Also known as Google Gemma 4 E4B, Gemma-4-E4B
gemma-4-e4bPOST /v1/chat/completionsPOST /v1/responsesPOST /v1/messagesLive pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.
Gemma 4 E4B serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id gemma-4-e4b. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemma-4-e4b",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'from openai import OpenAI
client = OpenAI(
base_url="https://api.empiriolabs.ai/v1",
api_key="YOUR_EMPIRIOLABS_API_KEY",
)
response = client.chat.completions.create(
model="gemma-4-e4b",
messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)Request parameters supported by the Gemma 4 E4B API on EmpirioLabs. Defaults apply when a field is omitted.
| Parameter | Type | Default | Range / values | Description |
|---|---|---|---|---|
| temperature | number | 0.7 | 0 to 2 | Sampling temperature. Lower values are more deterministic. |
| top_p | number | 0.95 | 0 to 1 | Nucleus sampling probability mass. |
| min_p | number | 0 | 0 to 1 | Minimum token probability filter. |
| max_tokens | integer | 4096 | 1 to 4096 | Maximum output tokens. |
| stop | string | - | - | One or more stop strings. |
| seed | integer | - | 0 to 2147483647 | Optional deterministic sampling seed. |
| enable_thinking | boolean | true | - | Enable the model reasoning channel before final output. |
| reasoning_effort | enum | - | low, medium, high | OpenAI-compatible hint. Medium and high enable thinking mode. |
| presence_penalty | number | 0 | -2 to 2 | Penalize tokens that already appeared. |
| frequency_penalty | number | 0 | -2 to 2 | Penalize repeated tokens by frequency. |
| repetition_penalty | number | 1 | 0.1 to 2 | Discourage exact repeated text. |
| logprobs | boolean | false | - | Return token log probabilities when supported. |
| top_logprobs | integer | - | 0 to 20 | Number of alternate token log probabilities to return. |
| tools | array | - | - | OpenAI-compatible function tool definitions. |
Supports text and image input, streaming, function tools, structured JSON output, seed control, and thinking mode on by default. Billing is per successful message.
On EmpirioLabs, Gemma 4 E4B is billed pay as you go: Per Message $0.03 fixed; Web Search (Linkup) $0.013 per call when invoked. The live rate card on this page always matches what the API charges.
Gemma 4 E4B supports a 8K-token context window with up to 4,096 output tokens per response.
Yes. Gemma 4 E4B serves the OpenAI-compatible Chat Completions API, so existing OpenAI SDKs work by pointing base_url at https://api.empiriolabs.ai/v1 and setting the model id to gemma-4-e4b.
Yes. The EmpirioLabs playground runs Gemma 4 E4B in the browser with the same parameters the API exposes, so you can test prompts before writing code.
Create an EmpirioLabs account, then generate a key under API Keys in the dashboard. Billing is pay-as-you-go credits, so you only pay for the requests you make.
Check out our pricing or reach out if you want your own model deployed on our stack.