Text Generation
Home > AI Models > Gemma 3n E4B Instructed LiteRT Preview

Gemma 3n E4B Instructed LiteRT Preview

Provider: Google Updated: 2026-08-08

Gemma 3n E4B Instructed LiteRT Preview is an text generation model from Google, designed for general AI application workflows.

Text Generation Multilingual

Pricing

Input -
Output -
Text to Image -
Image to Image -
Text to Video -
Image to Video -

Capabilities

Input Types Text / Image / Video
Output Types Text
Function Calling Supported
Session Cache -
Fine-Tuning -
Prefix Cache -
Structured Output Supported
Image Understanding Supported
Text Generation Supported
Text to Image -
Image to Image -
Text to Video -
Image to Video -
Open Source Status Open source

Parameters

Last Updated 2026-08-08
Context Length -
Max Input Tokens 32K
Max Output Tokens 32K
Max Thought Tokens -
TPM -
RPM -
Parameter Count 1.9B params
Modalities Multimodal
Language Support Multilingual
Best For General AI application workflows
Resolution -
Video Duration -
Frame Rate -

Benchmarks

These benchmark scores summarize how the model performs across different tasks and evaluation sets.

AIME

Measures performance on difficult competition-level mathematics problems.

11.6
GPQA

Evaluates graduate-level science knowledge and reasoning ability.

23.7
LiveCodeBench

Benchmarks code understanding and real-world coding task performance.

13.2
HumanEval

Evaluates code generation correctness on programming tasks.

75
MMLU Pro

Tests multidisciplinary knowledge, comprehension, and reasoning.

50.6