跳轉到主要內容
AITier

Gemma 4 E2B (Reasoning)

GoogleGemma開源權重Apache 2.0 · 商用許可

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.

發布日期
2026-04-02
參數規模
5.1B
上下文長度
—
支援模態
—

能力雷達圖

8
general
9
coding
43
reasoning
28
science
30
agents
40
multimodal

排行榜排名

領域#排名分數來源
智慧體能力模型榜112
36.0
LS
程式碼能力榜494
11.0
AA
通用能力榜499
21.0
AA
科學能力459
27.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench29.4%自報

Biology

GPQANYU + Cohere + Anthropic (2023)43.4%自報

Finance

MMLU-Pro60.0%自報

General

MMMLU67.4%自報
MMMU-Pro44.2%自報
LiveCodeBench v644.0%自報
BIG-Bench Extra Hard21.9%自報
MRCR v2 (8-needle)19.1%自報

Healthcare

MedXpertQA23.5%自報

Math

MathVision52.4%自報
AIME 202637.5%自報

AA 評測指數

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
9.5
Coding Index(Artificial Analysis)
7.2
Gpqa(NYU + Cohere + Anthropic (2023))
0.4
Ifbench(Google Research (2023))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.2
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.2
Lcr(Artificial Analysis)
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.0
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0
Terminalbench V2 1
0.0

LLM Stats 分類評分

(LLM Stats (zeroeval))
Legal
60
Finance
60
Math
50
Language
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

定價

輸入價格免費
輸出價格免費
混合價格(3:1)免費

速度

Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s

供應商價格排行

暫無提供商資料

外部連結

LLM StatsArtificial Analysis