EBEasy BenchmarksLLM model index
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GPT-5.5 (xhigh)
GPT-5.5 (high)
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
Gemini 3.1 Pro Preview
GPT-5.4 (xhigh)
Artificial Analysis data
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Google

Gemma 3n E2B Instruct

Gemma 3n E2B Instruct is a Google Gemma open-model profile, aimed at developers who want deployable Google-developed models rather than hosted Gemini-only access. The benchmark data is especially useful for comparing its efficiency and capability against similarly sized open and open-weight alternatives.

Introducing Gemma

Operational Metrics

Output Speed58.7 tok/s
First Token0.31s
Blended Price-

Model Metadata

Queryable facts extracted from the upstream model payload.

ReleaseJun 26, 2025
Context Windown/a
Modalitiesn/a
API fields: release_date

Strength: TTFT

Rank #6 across 293 models.

0.31s

Watch Area: Overall

Rank #499 across 500 models.

4.8

Watch Area: GPQA

Rank #470 across 478 models.

22.9%

Watch Area: Coding

Rank #390 across 410 models.

2.2

Strength Profile

Percentile score by analysis domain.

Benchmark Percentiles

Higher bars mean stronger relative placement.

All Benchmarks

MetricDomainValueRank
Artificial Analysis Intelligence Indexoverall4.8#499
Artificial Analysis Coding Indexcoding2.2#390
Artificial Analysis Math Indexmath10.3#232
MMLU-Proreasoning37.8%#323
GPQA
reasoning
22.9%
#470
Humanity's Last Examreasoning4.0%#405
LiveCodeBenchcoding9.5%#320
SciCodecoding, reasoning5.2%#444
MATH-500math69.1%#147
AIMEmath9.0%#141
Output Speedspeed58.7 tok/s#197
Time to First Tokenspeed0.31s#6