Gemma 4 E2B

Name: Google Gemma 4 E2B
Author: DeepMind

Multimodal modelGemmaGemma 4

Google Gemma 4 E2B

Release date: 2026-04-02Updated: 2026-07-17 23:18:43.626Knowledge cutoff: 2025-01787

Live demoGitHubHugging Face Compare

Parameters

5.1B

Context length

128K

Chinese support

Not supported

Reasoning ability

Gemma 4 E2B is a multimodal model from DeepMind, released on 2026-04-02. It accepts text, image, and audio input and returns text output. The cataloged parameter count is 5.1B. The recorded context window is 128K, and the recorded maximum output is 8K. Cataloged capabilities include Reasoning model. The checkpoint is listed under the Apache 2.0 license, with the license link included in the model references. Use the linked references to confirm current access, licensing, and provider-specific limits.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Gemma 4 E2B

Model basics

Reasoning traces

Supported

Thinking modes

Thinking Mode (Default)Standard Mode

Context length

128K tokens

Max output length

8K tokens

Model type

Multimodal model

Modality (in / out)

Text, Image, Audio → Text

Release date

2026-04-02

Model file size

No data

MoE architecture

Total params / Active params

5.1B / N/A

Knowledge cutoff

2025-01

Gemma 4 E2B

Open source & experience

Code license

Apache 2.0

Weights license

Apache 2.0- Commercial use permitted

GitHub repo

GitHub link unavailable

Hugging Face

https://huggingface.co/google/gemma-4-e2b

Live demo

https://ai.google.dev/gemma

Gemma 4 E2B

Official resources

Paper

DataLearnerAI blog

Gemma 4 E2B

API details

API speed

No data

No public API pricing yet.

Gemma 4 E2B

Benchmark Results

Gemma 4 E2B currently shows benchmark results led by LiveCodeBench (98 / 123, score 44), MMLU Pro (111 / 132, score 60), GPQA Diamond (169 / 188, score 43.40). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

General Knowledge

2 evaluations

Benchmark / mode

Score

Rank/total

MMLU Pro

Thinking Mode

111 / 132

GPQA Diamond

Thinking Mode

43.40

169 / 188

Coding and Software Engineer

1 evaluations

Benchmark / mode

Score

Rank/total

LiveCodeBench

Thinking Mode

98 / 123

Agent Level Benchmark

1 evaluations

Benchmark / mode

Score

Rank/total

τ²-Bench

Thinking Mode

24.50

43 / 43

Math and Reasoning

1 evaluations

Benchmark / mode

Score

Rank/total

AIME 2026

Thinking Mode

37.50

19 / 19

Multimodal Understanding

1 evaluations

Benchmark / mode

Score

Rank/total

MMMU-Pro

Thinking Mode

44.20

7 / 7

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Gemma 4 E2B

Publisher

DeepMind

View publisher details

Google Gemma 4 E2B

Model Overview

Gemma 4 E2B is a multimodal model from DeepMind, released on 2026-04-02.

It accepts text, image, and audio input and produces text output. Its cataloged capabilities include Reasoning model. The cataloged parameter count is 5.1B. The recorded context window is 128K, and the recorded maximum output is 8K.

The checkpoint is listed under the Apache 2.0 license, with the license link included in the model references. The evaluation section contains 6 cataloged benchmark results with their recorded modes and scores. The page links 4 release, model-card, repository, or provider references for checking the underlying claims. Specifications, availability, and prices can change; undisclosed values are intentionally left unstated.

Gemma 4 E2B

FAQ

What is Gemma 4 E2B?

What input and output modalities does Gemma 4 E2B support?

The current model record lists text, image, and audio as input and text as output.

What are the main recorded specifications for Gemma 4 E2B?

The cataloged parameter count is 5.1B. The recorded context window is 128K, and the recorded maximum output is 8K. Fields without a source-backed value remain undisclosed.

Why is no API price shown for Gemma 4 E2B?

Open-weight checkpoint; Google publishes no billable first-party token price for this exact checkpoint.

Are benchmark results available for Gemma 4 E2B?

The evaluation section contains 6 cataloged benchmark results with their recorded modes and scores. Compare only results that use the same benchmark version and evaluation mode.

Is Gemma 4 E2B open source?

The checkpoint is listed under the Apache 2.0 license, with the license link included in the model references. Review the linked license text before commercial or derivative use.

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