Gemma 3n E4B Instruct Preview (May '25)

May 2025 preview of Gemma 3n E4B instruction-tuned model, showcasing Google's mobile-first architecture innovations. Uses MatFormer architecture and Per-Layer Embeddings technology with multimodal capabilities. As preview version, allows developers early exploration of high-performance AI capabilities on mobile devices, providing technical preview and testing platform for mobile AI development.

Intelligence(Relatively Weak)

Speed(Slow)

Input Supported Modalities

Yes

Is Reasoning Model

32,000

Context Window

32,768

Maximum Output Tokens

2024-06-01

Knowledge Cutoff

Go Compare

Pricing

- /M tokens

Input

- /M tokens

Output

- /M tokens

Blended Price

Quick Simple Comparison

Input

Output

Gemini 2.0 Flash Thinking Experimental (Dec '24)

Gemini 1.5 Pro (Sep '24)

￥2.5

Gemini 2.0 Pro Experimental (Feb '25)

Basic Parameters

Gemma 3n E4B Instruct Preview (May '25)Technical Parameters

Parameter Count

1,910.0M

Context Length

32.00k tokens

Training Data Cutoff

2024-06-01

Open Source Category

Open Weights (Permissive License)

Multimodal Support

Text, Image

Throughput

Release Date

2025-05-20

Response Speed

0 tokens/s

Benchmark Scores

Below is the performance of Gemma 3n E4B Instruct Preview (May '25) in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.

Intelligence Index

Large Language Model Intelligence Level

26.98

Large Language Model Intelligence Level

Coding Index

Indicator of AI model performance on coding tasks

11.16

Indicator of AI model performance on coding tasks

Math Index

Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks

42.77

Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks

MMLU Pro

Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video

48.3

Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video

GPQA

Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions

27.8

Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions

HLE

The model's comprehensive average score on the Hugging Face Open LLM Leaderboard

4.9

The model's comprehensive average score on the Hugging Face Open LLM Leaderboard

LiveCodeBench

Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems

13.8

Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems

SciCode

The model's capability in code generation for scientific computing or specific scientific domains

8.6

The model's capability in code generation for scientific computing or specific scientific domains

HumanEval

Score achieved by the AI model on the specific HumanEval benchmark test set

75.7

Score achieved by the AI model on the specific HumanEval benchmark test set

Math 500 Score

Score on the first 500 larger, more well-known mathematical benchmark tests

74.9

Score on the first 500 larger, more well-known mathematical benchmark tests

AIME Score

An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)

10.7

An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)

Output tokens/million

Output tokens/million

Output tokens/million

Output tokens/million

Output tokens/million

131k

Context Length

Gemini 2.0 Flash Lite (Preview)

Output tokens/million

Output tokens/million

33k

Context Length

Qwen2.5 Coder Instruct 32B

Output tokens/million

131k

Context Length

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご