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AmazonAmazonProprietary
Descripción
A low-cost multimodal model that is lightning fast for processing images, video, documents, and text.
Fecha de lanzamiento
2024-12-03
Parámetros
—
Longitud del contexto
300K
Modalidades
image, pdf, text, video
Radar de capacidades
22
general
17
coding
22
reasoning
31
science
70
agents
90
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 568 | 13.0 | AA |
| Ranking general | 536 | 25.0 | AA |
| Ranking multimodal | 134 | 32.0 | LS |
| Ciencia | 554 | 22.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Chat
IFEvalGoogle Research (2023)
89.7%Aut.
Finance
FinQA
73.6%Aut.
General
MMLU
80.5%Aut.
BFCL
66.6%Aut.
Language
Translation Set1→en COMET22
88.8%Aut.
Translation en→Set1 COMET22
88.8%Aut.
Translation Set1→en spBleu
43.1%Aut.
Translation en→Set1 spBleu
41.5%Aut.
Math
GSM8k
94.5%Aut.
MATH
73.3%Aut.
Multimodal
GroundUI-1K
80.2%Aut.
VATEX
77.8%Aut.
MM-Mind2Web
60.7%Aut.
MMMU
56.2%Aut.
Reasoning
ARC-C
92.4%Aut.
ChartQAMasry et al. (2022)
86.8%Aut.
HumanEvalOpenAI (2021)
85.4%Aut.
BBH
82.4%Aut.
DROP
80.2%Aut.
CRAG
43.8%Aut.
GPQANYU + Cohere + Anthropic (2023)
42.0%Aut.
Summarization
SQuALITY
19.2%Aut.
Vision
DocVQADocVQA (2020)
92.4%Aut.
TextVQA
80.2%Aut.
VisualWebBench
77.7%Aut.
EgoSchema
71.4%Aut.
LVBench
40.4%Aut.
Índices de evaluación AA
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))76.5
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))59.0
Gpqa(NYU + Cohere + Anthropic (2023))43.3
Ifbench(Google Research (2023))34.1
Lcr(Artificial Analysis)19.0
Tau2(Sierra + U Toronto + Vector Institute (2025))17.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))16.7
Aime(MAA (Mathematical Association of America))10.7
Aime 25(MAA (Mathematical Association of America))7.0
Math Index(Artificial Analysis)7.0
Intelligence Index(Artificial Analysis)6.7
Hle(Center for AI Safety + Scale AI (2025))4.3
Terminalbench Hard(Stanford × Laude Institute (2026))0.8
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Chat90
Image To Text90
Instruction Following90
Structured Output90
Code90
Legal80
Math80
Multimodal70
Reasoning70
Finance70
General70
Healthcare70
Tool Calling70
Vision70
Language60
Frontend Development60
Agents60
Economics60
Long Context40
Physics40
Search40
Biology40
Chemistry40
Summarization20
Precios
Precio de entrada$0.06 / 1M tokens
Precio de salida$0.24 / 1M tokens
Precio mixto (3:1)$0.105 / 1M tokens
Precio de lectura caché$0.01725 / 1M tokens
Precio de escritura caché$0.069 / 1M tokens
Velocidad
Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
5 proveedores
Más barato: NanoGPTMás caro: Amazon Bedrock
ProveedorEntradaSalida
1NanoGPTMás barato
$0.0595
$0.238
2AmazonPRINCIPAL
$0.06
$0.24
3OpenRouter
$0.06
$0.24
4Kilo Gateway
$0.06
$0.24
5Amazon Bedrock
$0.069
$0.276
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