Gemma 3 4B Instruct
GoogleGemmaOpen WeightGemma · Uso Comercial
Descripción
Gemma 3 4B is a 4-billion-parameter vision-language model from Google, handling text and image input and generating text output. It features a 128K context window, multilingual support, and open weights. Suitable for question answering, summarization, reasoning, and image understanding tasks.
Fecha de lanzamiento
2025-03-12
Parámetros
4.0B
Longitud del contexto
131K
Modalidades
image, text
Radar de capacidades
14
general
6
coding
22
reasoning
17
science
17
agents
70
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 533 | 5.0 | AA |
| Ranking general | 550 | 14.0 | AA |
| Ranking multimodal | 70 | 36.0 | LS |
| Ciencia | 543 | 14.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
30.8%Aut.
Code
HumanEvalOpenAI (2021)
71.3%Aut.
LiveCodeBench
12.6%Aut.
Factuality
FACTS Grounding
70.1%Aut.
SimpleQA
4.0%Aut.
Finance
MMLU-Pro
43.6%Aut.
General
IFEvalGoogle Research (2023)
90.2%Aut.
Natural2Code
70.3%Aut.
MBPP
0.63 / 100Aut.
Global-MMLU-Lite
54.5%Aut.
MMMU (val)
48.8%Aut.
BIG-Bench Extra Hard
11.0%Aut.
Image To Text
DocVQADocVQA (2020)
75.8%Aut.
VQAv2 (val)
62.4%Aut.
TextVQA
57.8%Aut.
Language
BIG-Bench Hard
72.2%Aut.
WMT24++
46.8%Aut.
ECLeKTic
4.6%Aut.
Math
GSM8k
89.2%Aut.
MATH
75.6%Aut.
MathVista-Mini
50.0%Aut.
HiddenMath
43.0%Aut.
Multimodal
AI2D
74.8%Aut.
ChartQAMasry et al. (2022)
68.8%Aut.
InfoVQA
50.0%Aut.
Reasoning
Bird-SQL (dev)
36.3%Aut.
Índices de evaluación AA
(Artificial Analysis)Math Index(Artificial Analysis)12.7
Coding Index(Artificial Analysis)2.7
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))0.4
Gpqa(NYU + Cohere + Anthropic (2023))0.3
Ifbench(Google Research (2023))0.3
Aime 25(MAA (Mathematical Association of America))0.1
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.1
Scicode(UIUC + Argonne National Lab (2024))0.1
Lcr(Artificial Analysis)0.1
Aime(MAA (Mathematical Association of America))0.1
Hle(Center for AI Safety + Scale AI (2025))0.1
Tau2(Sierra + U Toronto + Vector Institute (2025))0.0
Terminalbench Hard(Stanford × Laude Institute (2026))0.0
Tau Banking0.0
Terminalbench V2 10.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Structured Output90
Instruction Following90
Image To Text70
Grounding70
Math60
Multimodal60
Vision60
Reasoning50
General50
Healthcare50
Legal40
Language40
Factuality40
Finance40
Code40
Physics30
Biology30
Chemistry30
Precios
Precio de entradaGratis
Precio de salidaGratis
Precio mixto (3:1)Gratis
Velocidad
Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
2 proveedores
Más barato: OpenRouterMás caro: Kilo Gateway
ProveedorEntradaSalida
1OpenRouterMás barato
$0.05
$0.1
2Kilo Gateway
$0.05
$0.1
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