Google's Gemma 4 31B (google/gemma-4-31b-it) is available free via NVIDIA NIM through InferAll. No credit card, no billing setup — create a key and call it now.
from openai import OpenAI
client = OpenAI(
base_url="https://api.inferall.ai/v1",
api_key="ifu_your_key_here", # get one at inferall.ai/keys
)
response = client.chat.completions.create(
model="google/gemma-4-31b-it",
messages=[{"role": "user", "content": "What are Gemma 4's key improvements over Gemma 3?"}],
max_tokens=512,
)
print(response.choices[0].message.content)
What is Gemma 4?
Gemma 4 is Google's fourth generation of open-weight foundation models. The 31B instruction-tuned variant (gemma-4-31b-it) offers strong performance on reasoning, coding, and instruction following — significantly more capable than the Gemma 3 family while remaining fully open-weight and free to run via NVIDIA NIM.
Like all Gemma models, it's fully open-weight under Google's Gemma Terms of Use, available for commercial use, and hosted without charge on NVIDIA's DGX Cloud infrastructure.
TypeScript / Node.js
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.inferall.ai/v1",
apiKey: process.env.INFERALL_API_KEY,
});
const response = await client.chat.completions.create({
model: "google/gemma-4-31b-it",
messages: [{ role: "user", content: "Write a Python function to parse JSON." }],
});
console.log(response.choices[0].message.content);
Streaming
with client.chat.completions.create(
model="google/gemma-4-31b-it",
messages=[{"role": "user", "content": "Explain transformer attention in plain English."}],
stream=True,
) as stream:
for chunk in stream:
print(chunk.choices[0].delta.content or "", end="")
Claude Code / Cline / Cursor
export ANTHROPIC_BASE_URL=https://api.inferall.ai
export ANTHROPIC_API_KEY=ifu_your_key_here
Gemma 4 routes as the "sonnet" tier equivalent for Anthropic-compatible clients.
Free Google models on InferAll
| Model | Size | Notes |
|---|---|---|
google/gemma-4-31b-it |
31B | Newest Gemma generation |
All are free on NVIDIA NIM. The full model list is always live at the API.
Compare with other free models
# Gemma 4 vs Llama 4 vs Nemotron — one prompt, three free models
models = [
"google/gemma-4-31b-it",
"nvidia/nemotron-3-super-120b-a12b",
]
for model in models:
resp = client.chat.completions.create(
model=model,
messages=[{"role": "user", "content": "What year was the transformer paper published?"}],
max_tokens=50,
)
print(f"{model.split('/')[-1]}: {resp.choices[0].message.content.strip()}")
Get started
inferall.ai/keys — sign up free and start calling (25 free NIM calls before any payment; the $5 starter pack unlocks ongoing use) at /billing. The $5 becomes spendable balance: 25+ open NIM models stay $0 in/out against it (within the free-plan daily request caps); premium providers (OpenAI, Anthropic, Google) bill at the provider's published per-token rate with zero markup.