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Gemma 4 E2B Instruct

gemma-4-e2b-it
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Gemma 4 E2B Instruct

gemma-4-e2b-it

Google's Gemma 4 E2B Instruct is a compact open-weight multimodal model with 2B active parameters, supporting text, image, audio, video, tools, and structured output.

Added Aug 1, 2026

Context Window

131.1K

Max Output

16.4K

Input Price (Auto)

$0.021/1M

Output Price (Auto)

$0.11/1M

Cache Read (Auto)

$0.011/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

6.2

Better than 17% of models compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

40.5%

Better than 16% of models compared

HLE

Humanity's Last Exam

4.7%

Better than 28% of models compared

IFBench

Instruction-following benchmark

33.6%

Better than 23% of models compared

T²-Bench Telecom

Conversational AI agents in dual-control scenarios

22.2%

Better than 24% of models compared

AA-LCR

Long context reasoning evaluation

14.7%

Better than 23% of models compared

Coding

SciCode

Python programming for scientific computing

20.4%

Better than 20% of models compared

Terminal-Bench Hard

Agentic coding and terminal use

2.3%

Better than 20% of models compared

Last updated Aug 16, 2026

Artificial Analysis

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