Gemma 3 12B Instruct
GoogleGemmaOpen WeightGemma · Uso Comercial
Descripción
Gemma 3 12B is a 12-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
12.0B
Longitud del contexto
131K
Modalidades
image, text
Radar de capacidades
22
general
10
coding
31
reasoning
23
science
25
agents
80
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 519 | 8.0 | AA |
| Ranking general | 474 | 25.0 | AA |
| Ranking multimodal | 57 | 43.0 | LS |
| Ciencia | 501 | 21.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
40.9%Aut.
Code
HumanEvalOpenAI (2021)
85.4%Aut.
LiveCodeBench
24.6%Aut.
Factuality
FACTS Grounding
75.8%Aut.
SimpleQA
6.3%Aut.
Finance
MMLU-Pro
60.6%Aut.
General
IFEvalGoogle Research (2023)
88.9%Aut.
Natural2Code
80.7%Aut.
MBPP
0.73 / 100Aut.
Global-MMLU-Lite
69.5%Aut.
MMMU (val)
59.6%Aut.
BIG-Bench Extra Hard
16.3%Aut.
Image To Text
DocVQADocVQA (2020)
87.1%Aut.
VQAv2 (val)
71.6%Aut.
TextVQA
67.7%Aut.
Language
BIG-Bench Hard
85.7%Aut.
WMT24++
51.6%Aut.
ECLeKTic
10.3%Aut.
Math
GSM8k
94.4%Aut.
MATH
83.8%Aut.
MathVista-Mini
62.9%Aut.
HiddenMath
54.5%Aut.
Multimodal
AI2D
84.2%Aut.
ChartQAMasry et al. (2022)
75.7%Aut.
InfoVQA
64.9%Aut.
Reasoning
Bird-SQL (dev)
47.9%Aut.
Índices de evaluación AA
(Artificial Analysis)Math Index(Artificial Analysis)18.3
Coding Index(Artificial Analysis)5.8
Intelligence Index(Artificial Analysis)5.5
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.6
Ifbench(Google Research (2023))0.4
Gpqa(NYU + Cohere + Anthropic (2023))0.3
Aime(MAA (Mathematical Association of America))0.2
Aime 25(MAA (Mathematical Association of America))0.2
Scicode(UIUC + Argonne National Lab (2024))0.2
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.1
Tau2(Sierra + U Toronto + Vector Institute (2025))0.1
Lcr(Artificial Analysis)0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
Tau Banking0.0
Terminalbench Hard(Stanford × Laude Institute (2026))0.0
Terminalbench V2 10.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Structured Output90
Instruction Following90
Image To Text80
Grounding80
Math70
Multimodal70
Vision70
Legal60
Reasoning60
Finance60
General60
Healthcare60
Code60
Language50
Physics40
Factuality40
Biology40
Chemistry40
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
1 proveedores
ProveedorEntradaSalida
1Neon
$0.15
$0.5
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