Context window
256,000 tokens
Checked 19 Oct 2026https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/
LLM · Google
Google's 2 April 2026 Gemma 4 post describes the 26B model as a mixture of experts that activates 3.8 billion parameters. It says the larger models offer up to a 256K context window, the weights are Apache 2.0, and they can be downloaded from Hugging Face, Kaggle, or Ollama. The post does not publish a token price.
Checked 19 Oct 2026https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/
256,000 tokens
Checked 19 Oct 2026https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/
No first-party API price
Checked 19 Oct 2026https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/
No first-party API price
Checked 19 Oct 2026https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/
Not published
Checked 19 Oct 2026https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/
Yes
Checked 19 Oct 2026https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/
Not published
Checked 19 Oct 2026https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/
Apache 2.0
Checked 19 Oct 2026https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/
Not published
Checked 19 Oct 2026https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/
3.8B active / 26B total
Checked 19 Oct 2026https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/