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Gemma 4 E2B (Reasoning)

GoogleGemma开源权重Apache 2.0 · 商用许可

描述

Gemma 4 E2B is Google DeepMind's smallest multimodal model with 2.3 billion effective parameters (5.1B with embeddings) and a 128K context window. Supports image, text, and audio inputs. Designed for on-device and edge deployment with Per-Layer Embeddings for efficient inference.

发布日期
2026-04-02
参数规模
5.1B
上下文长度
—
支持模态
—

能力雷达图

7
general
7
coding
43
reasoning
31
science
30
agents
40
multimodal

排行榜排名

领域#排名分数来源
智能体能力模型榜95
36.0
LS
代码能力榜583
10.0
AA
通用能力榜588
19.0
AA
多模态榜123
37.0
LS
科学能力539
23.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench29.4%自报

Healthcare

MedXpertQA23.5%自报

Language

MMMLU67.4%自报
MMLU-Pro60.0%自报

Long Context

MRCR v2 (8-needle)19.1%自报

Math

MathVision52.4%自报
AIME 202637.5%自报

Reasoning

LiveCodeBench v644.0%自报
GPQANYU + Cohere + Anthropic (2023)43.4%自报
BIG-Bench Extra Hard21.9%自报

Vision

MMMU-Pro44.2%自报

AA 评测指数

(Artificial Analysis)
Gpqa(NYU + Cohere + Anthropic (2023))
43.3
Ifbench(Google Research (2023))
38.0
Tau2(Sierra + U Toronto + Vector Institute (2025))
20.8
Lcr(Artificial Analysis)
16.3
Intelligence Index(Artificial Analysis)
7.8
Coding Index(Artificial Analysis)
7.2
Hle(Center for AI Safety + Scale AI (2025))
4.8
Terminalbench Hard(Stanford × Laude Institute (2026))
3.0
Terminalbench V2 1
0.4

LLM Stats 分类评分

(LLM Stats (zeroeval))
Legal
60
Finance
60
Language
50
Math
50
Multimodal
40
Physics
40
Reasoning
40
General
40
Healthcare
40
Biology
40
Chemistry
40
Vision
40
Agents
30
Tool Calling
30
Long Context
20

定价

输入价格免费
输出价格免费
混合价格(3:1)免费

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

暂无提供商数据

外部链接

LLM StatsArtificial Analysis