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)
$0.020/1M
Output Price (Auto)
$0.10/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
6.5
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
22.2%
Better than 24% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
16.3%
Better than 19% of models compared
Reasoning
HLE
Humanity's Last Exam
4.7%
Better than 24% of models compared
IFBench
Instruction-following benchmark
33.6%
Better than 23% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
2.3%
Better than 20% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
40.5%
Better than 15% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
16.3%
Better than 19% of models compared
Last updated Oct 2, 2026
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