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Gemma 3n E4B Instruct

GoogleGemma开源权重Gemma · 商用许可

描述

Gemma 3n is a generative AI model optimized for use in everyday devices, such as phones, laptops, and tablets. It features innovations like Per-Layer Embedding (PLE) parameter caching and a MatFormer model architecture for reduced compute and memory. These models handle audio, text, and visual data, though this E4B preview currently supports text and vision input. Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models, and is licensed for responsible commercial use.

发布日期
2025-06-26
参数规模
1.9B
上下文长度
33K
支持模态
image, text

能力雷达图

16
general
8
coding
25
reasoning
17
science
20
agents
80
multimodal

排行榜排名

领域#排名分数来源
代码能力榜534
5.0
AA
通用能力榜540
16.0
AA
科学能力544
14.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)23.7%自报

Chemistry

OpenAI MMLU35.6%自报

Code

HumanEvalOpenAI (2021)75.0%自报
Codegolf v2.216.8%自报
LiveCodeBench13.2%自报

Creativity

Social IQa50.0%自报

Finance

MMLU64.9%自报
MMLU-Pro50.6%自报
MMLU-ProX19.9%自报

General

ARC-E81.6%自报
PIQA81.0%自报
TriviaQA70.2%自报
Global-MMLU-Lite64.5%自报
MBPP0.64 / 100自报
ARC-C61.6%自报
Global-MMLU60.3%自报
Include57.2%自报
LiveCodeBench v525.7%自报
Natural Questions20.9%自报

Language

BoolQ81.6%自报
Winogrande71.7%自报
BIG-Bench Hard52.9%自报
WMT24++50.1%自报
ECLeKTic1.9%自报

Math

DROP60.8%自报
MGSM60.7%自报
HiddenMath37.7%自报
AIME 202511.6%自报

Reasoning

HellaSwagAI2 (2019)78.6%自报

AA 评测指数

(Artificial Analysis)
Math Index(Artificial Analysis)
14.3
Coding Index(Artificial Analysis)
3.2
Intelligence Index(Artificial Analysis)
1.0
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.5
Gpqa(NYU + Cohere + Anthropic (2023))
0.3
Ifbench(Google Research (2023))
0.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.1
Aime 25(MAA (Mathematical Association of America))
0.1
Aime(MAA (Mathematical Association of America))
0.1
Scicode(UIUC + Argonne National Lab (2024))
0.1
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.0
Hle(Center for AI Safety + Scale AI (2025))
0.0
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0
Terminalbench V2 1
0.0
Tau Banking
0.0
Lcr(Artificial Analysis)
0.0

LLM Stats 分类评分

(LLM Stats (zeroeval))
Legal
50
Physics
50
Psychology
50
Reasoning
50
Language
50
Finance
50
General
50
Healthcare
50
Creativity
50
Math
40
Code
40
Search
20
Biology
20
Chemistry
20

定价

输入价格$0.06 / 1M tokens
输出价格$0.12 / 1M tokens
混合价格(3:1)$0.075 / 1M tokens

速度

Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s

供应商价格排行

供应商价格排行

3 个供应商

最便宜: Google最贵: Kilo Gateway
供应商输入输出
1Google主要
$0.06
$0.12
2OpenRouter
$0.06
$0.12
3Kilo Gateway
$0.06
$0.12

比较该模型在不同 API 供应商之间的定价。

外部链接