Gemma 4 E2B

Gemma 4 E2B (Reasoning) was released on April 2, 2026.

Gemma 4 E2B (Reasoning) was created by Google.

Gemma 4 E2B (Reasoning) scores 9 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 9).

Yes, Gemma 4 E2B (Reasoning) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.

Gemma 4 E2B (Reasoning) supports text, image, speech, and video input.

Gemma 4 E2B (Reasoning) supports text and image output.

Yes, Gemma 4 E2B (Reasoning) supports image input and can analyze, describe, and answer questions about images.

Yes, Gemma 4 E2B (Reasoning) is multimodal. It can process text, image, speech, and video input and generate text and image output.

Gemma 4 E2B (Reasoning) has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.

Yes, Gemma 4 E2B (Reasoning) is open weights. The model weights are publicly available and can be downloaded for self-hosting.

Gemma 4 E2B (Reasoning) has 5.1 billion parameters (2.3 billion active).

Gemma 4 E2B (Reasoning) is a Mixture of Experts (MoE) model with 5.1 billion total parameters, but only 2.3 billion active parameters are used during inference.

Gemma 4 E2B (Reasoning) is released under the Apache 2.0 license. This license allows commercial use.

Gemma 4 E2B (Reasoning) achieves a score of 9 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.

Gemma 4 E2B (Reasoning) is an open weights model that can be self-hosted.

Gemma 4 E2B (Reasoning) is an open weights model that can be downloaded and self-hosted.