Google's Gemma 4 E4B Instruct is an efficient open-weight multimodal model with 4B 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)
$0.040/1M
Output Price (Auto)
$0.20/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
7.5
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
26.0%
Better than 30% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
24.0%
Better than 26% of models compared
Reasoning
HLE
Humanity's Last Exam
4.8%
Better than 25% of models compared
IFBench
Instruction-following benchmark
40.5%
Better than 40% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
7.6%
Better than 40% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
54.9%
Better than 29% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
24.0%
Better than 26% of models compared
Last updated Oct 1, 2026
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