Gemma 3n E4B Instruct
GoogleGemmaОткрытые весаGemma · Коммерческое использование
Описание
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.
Дата выхода
2025-06-26
Параметры
1.9B
Длина контекста
33K
Модальности
image, text
Радар способностей
16
general
8
coding
25
reasoning
17
science
20
agents
80
multimodal
Рейтинги
| Домен | #Место | Оценка | Источник |
|---|---|---|---|
| Рейтинг кодинга | 534 | 5.0 | AA |
| Общий рейтинг | 540 | 16.0 | AA |
| Наука | 544 | 14.0 | AA |
Оценки бенчмарков (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
23.7%Сам.
Chemistry
OpenAI MMLU
35.6%Сам.
Code
HumanEvalOpenAI (2021)
75.0%Сам.
Codegolf v2.2
16.8%Сам.
LiveCodeBench
13.2%Сам.
Creativity
Social IQa
50.0%Сам.
Finance
MMLU
64.9%Сам.
MMLU-Pro
50.6%Сам.
MMLU-ProX
19.9%Сам.
General
ARC-E
81.6%Сам.
PIQA
81.0%Сам.
TriviaQA
70.2%Сам.
Global-MMLU-Lite
64.5%Сам.
MBPP
0.64 / 100Сам.
ARC-C
61.6%Сам.
Global-MMLU
60.3%Сам.
Include
57.2%Сам.
LiveCodeBench v5
25.7%Сам.
Natural Questions
20.9%Сам.
Language
BoolQ
81.6%Сам.
Winogrande
71.7%Сам.
BIG-Bench Hard
52.9%Сам.
WMT24++
50.1%Сам.
ECLeKTic
1.9%Сам.
Math
DROP
60.8%Сам.
MGSM
60.7%Сам.
HiddenMath
37.7%Сам.
AIME 2025
11.6%Сам.
Reasoning
HellaSwagAI2 (2019)
78.6%Сам.
Индексы оценки 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
Оценки категорий LLM Stats
(LLM Stats (zeroeval))Legal50
Physics50
Psychology50
Reasoning50
Language50
Finance50
General50
Healthcare50
Creativity50
Math40
Code40
Search20
Biology20
Chemistry20
Цены
Цена ввода$0.06 / 1M токенов
Цена вывода$0.12 / 1M токенов
Смешанная цена (3:1)$0.075 / 1M токенов
Скорость
Токенов/сек0.0
Задержка первого токена0.00s
Время до первого ответа0.00s
Рейтинг цен провайдеров
Рейтинг цен провайдеров
3 провайдеров
Самый дешевый: GoogleСамый дорогой: Kilo Gateway
ПровайдерВводВывод
1GoogleОсновной
$0.06
$0.12
2OpenRouter
$0.06
$0.12
3Kilo Gateway
$0.06
$0.12
Сравнение цен разных API-провайдеров для этой модели.