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Gemma 4 E2B (Reasoning)

GoogleGemmaOpen WeightApache 2.0 · Commercial OK

Description

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.

Release Date
2026-04-02
Parameters
5.1B
Context Length
—
Modalities
—

Capability Radar

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

Rankings

Domain#RankScoreSource
Agentic Capability95
36.0
LS
Code Ranking583
10.0
AA
General Ranking588
19.0
AA
Multimodal Ranking123
37.0
LS
Science539
23.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench29.4%SR

Healthcare

MedXpertQA23.5%SR

Language

MMMLU67.4%SR
MMLU-Pro60.0%SR

Long Context

MRCR v2 (8-needle)19.1%SR

Math

MathVision52.4%SR
AIME 202637.5%SR

Reasoning

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

Vision

MMMU-Pro44.2%SR

AA Evaluation Indices

(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 Category Scores

(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

Pricing

Input PriceFree
Output PriceFree
Blended Price (3:1)Free

Speed

Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s

Provider Price Ranking

No provider data available

External Sources

LLM StatsArtificial Analysis