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
Avg output tokens (7d)
174 tokens
Input Price (Auto)
$0.020/1M
Output Price (Auto)
$0.10/1M
Cache Read (Auto)
$0.010/1M
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 21% of models compared
Reasoning
HLE
Humanity's Last Exam
4.7%
Better than 26% 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 21% of models compared
Last updated Sep 11, 2026
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