Google's flagship open-weight dense model with 31B parameters. All parameters active per forward pass. Ranks among top open models with strong performance on AIME 2026 (89.2%) and MMLU Pro (85.2%). Supports vision and extended context.
262K tokens
4
available
Cheapest
Google AI Studio
$0.00/1M tokens
Deep Infra, Google AI Studio, NVIDIA NIM, Together AI
Sorted by total cost (input + output per 1M tokens). Click a row to view provider details.
| Provider | Pricing (per 1M) | Rate Limits | Regions | Health | Latency |
|---|---|---|---|---|---|
In: FreeOut: Free | 15 RPM / 500K TPM | us-east-1eu-west-1global | Healthy | 0ms | |
In: FreeOut: Free | 100 RPM / 500K TPM | us-east-1us-west-2global | Healthy | 0ms | |
In: $0.10Out: $0.20 | 600 RPM / 1.0M TPM | us-east-1eu-west-1 | Healthy | 0ms | |
In: $0.50Out: $0.50 | 600 RPM / 1.0M TPM | us-east-1us-west-2 | Healthy | 0ms |
Use this model via Google AI Studio with an OpenAI-compatible SDK.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.google-ai-studio.com/v1",
apiKey: process.env.GOOGLE_AI_STUDIO_API_KEY,
});
const response = await client.chat.completions.create({
model: "gemma-4-31b-it",
messages: [
{ role: "user", content: "Hello!" }
],
});
console.log(response.choices[0].message.content);Using Google AI Studio API • OpenAI-compatible SDK