CodeGemma 7B
CodeGemma 7B is a language model with 7B parameters from Google DeepMind. It is currently free at 1 provider with up to — tokens of context. The model is suited to coding. Its weights are open, so it can also run locally.
- Developer
- Google DeepMind
- Parameters
- 7B
- Type
- Text
- License
- Open weights
Where to use CodeGemma 7B for free
Each row is a separate free endpoint with its own limits.
| Provider | Context | Limit | Card | |
|---|---|---|---|---|
NVIDIA Build google/codegemma-7b |
— | Free serverless inference for development; limits and model availability may change. | No | Open |
Quick start
curl https://integrate.api.nvidia.com/v1/chat/completions \
-H "Authorization: Bearer $NVIDIA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google/codegemma-7b",
"messages": [{"role": "user", "content": "Hello!"}]
}'from openai import OpenAI
client = OpenAI(
base_url="https://integrate.api.nvidia.com/v1",
api_key="YOUR_NVIDIA_API_KEY",
)
reply = client.chat.completions.create(
model="google/codegemma-7b",
messages=[{"role": "user", "content": "Hello!"}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://integrate.api.nvidia.com/v1",
apiKey: process.env.NVIDIA_API_KEY,
});
const reply = await client.chat.completions.create({
model: "google/codegemma-7b",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(reply.choices[0].message.content);Example for NVIDIA Build. Any OpenAI-compatible client works: Cursor, Cline, OpenCode, Open WebUI.
Benchmarks
This model is not on the Artificial Analysis leaderboard yet. We do not publish our own estimates.
Similar free models
FAQ
Is CodeGemma 7B free?
Yes. As of October 31, 2026, CodeGemma 7B is free at NVIDIA Build. Each provider has its own limits — see the table above.
How do I call CodeGemma 7B via API?
Use any OpenAI-compatible client with base URL https://integrate.api.nvidia.com/v1, model ID google/codegemma-7b, and a NVIDIA Build key.
Is CodeGemma 7B open-weight?
Yes, the weights are published — you can download and run it locally, for example with Ollama or LM Studio.