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Gemma 3n E4B Instruct

GoogleGemmaOpen WeightGemma · Usage Commercial

Description

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.

Date de sortie
2025-06-26
Paramètres
1.9B
Longueur du contexte
33K
Modalités
image, text

Radar de capacités

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

Classements

Domaine#RangScoreSource
Classement codage534
5.0
AA
Classement général540
16.0
AA
Science544
14.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)23.7%Aut.

Chemistry

OpenAI MMLU35.6%Aut.

Code

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

Creativity

Social IQa50.0%Aut.

Finance

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

General

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

Language

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

Math

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

Reasoning

HellaSwagAI2 (2019)78.6%Aut.

Indices d'évaluation AA

(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

Scores par catégorie LLM Stats

(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

Tarification

Prix d'entrée$0.06 / 1M tokens
Prix de sortie$0.12 / 1M tokens
Prix mixte (3:1)$0.075 / 1M tokens

Vitesse

Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

3 fournisseurs

Moins cher: GooglePlus cher: Kilo Gateway
FournisseurEntréeSortie
1GooglePRINCIPAL
$0.06
$0.12
2OpenRouter
$0.06
$0.12
3Kilo Gateway
$0.06
$0.12

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes