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 | #Rang | Score | Source |
|---|---|---|---|
| Classement codage | 534 | 5.0 | AA |
| Classement général | 540 | 16.0 | AA |
| Science | 544 | 14.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
23.7%Aut.
Chemistry
OpenAI MMLU
35.6%Aut.
Code
HumanEvalOpenAI (2021)
75.0%Aut.
Codegolf v2.2
16.8%Aut.
LiveCodeBench
13.2%Aut.
Creativity
Social IQa
50.0%Aut.
Finance
MMLU
64.9%Aut.
MMLU-Pro
50.6%Aut.
MMLU-ProX
19.9%Aut.
General
ARC-E
81.6%Aut.
PIQA
81.0%Aut.
TriviaQA
70.2%Aut.
Global-MMLU-Lite
64.5%Aut.
MBPP
0.64 / 100Aut.
ARC-C
61.6%Aut.
Global-MMLU
60.3%Aut.
Include
57.2%Aut.
LiveCodeBench v5
25.7%Aut.
Natural Questions
20.9%Aut.
Language
BoolQ
81.6%Aut.
Winogrande
71.7%Aut.
BIG-Bench Hard
52.9%Aut.
WMT24++
50.1%Aut.
ECLeKTic
1.9%Aut.
Math
DROP
60.8%Aut.
MGSM
60.7%Aut.
HiddenMath
37.7%Aut.
AIME 2025
11.6%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 10.0
Tau Banking0.0
Lcr(Artificial Analysis)0.0
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Legal50
Physics50
Psychology50
Reasoning50
Language50
Finance50
General50
Healthcare50
Creativity50
Math40
Code40
Search20
Biology20
Chemistry20
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.