Google Gemma 3 with 12B parameters
Gemma 3 12B delivers exceptional performance for its size, optimized for complex reasoning and long-context understanding within a 128,000 token window. Built on the efficient Gemma family architecture, this model operates in FP16 precision to ensure high-quality outputs while maintaining latency suitable for production environments. Developers can integrate this model immediately via our standard API endpoints, requiring minimal configuration to start generating responses. The 2.5x credit multiplier reflects its balanced cost-to-performance ratio, making it an ideal choice for applications demanding robust capability without the overhead of larger parameter counts.
For enterprise deployments, Gemma 3 12B offers strong multilingual proficiency, including native-level Arabic comprehension and generation, ensuring seamless user experiences across diverse linguistic regions. The GEMMA license permits broad commercial use, removing legal barriers for production scaling. Whether building research pipelines or customer-facing chatbots, this model provides the stability required for critical workflows. Accessible from the starter tier, it allows teams to validate performance against benchmarks before committing to higher-volume usage, ensuring alignment with both technical requirements and budgetary constraints.
from openai import OpenAI
client = OpenAI(
base_url="https://llmapi.resayil.io/v1/",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="gemma3:12b",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)const response = await fetch(
"https://llmapi.resayil.io/v1/chat/completions",
{
method: "POST",
headers: {
"Content-Type": "application/json",
"Authorization": "Bearer YOUR_API_KEY"
},
body: JSON.stringify({
model: "gemma3:12b",
messages: [
{ role: "user", content: "Hello!" }
]
})
}
);
const data = await response.json();
console.log(data.choices[0].message.content);curl https://llmapi.resayil.io/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "gemma3:12b",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'