Nova Micro
AmazonAmazonProprietary
Descripción
A text-only model that delivers lowest-latency responses at very low cost while maintaining strong performance on core language tasks. Optimized for speed and efficiency while preserving high accuracy on key benchmarks.
Fecha de lanzamiento
2024-12-03
Parámetros
—
Longitud del contexto
128K
Modalidades
text
Radar de capacidades
19
general
13
coding
19
reasoning
20
science
60
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 507 | 10.0 | AA |
| Ranking general | 501 | 21.0 | AA |
| Ciencia | 512 | 18.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
40.0%Aut.
Code
HumanEvalOpenAI (2021)
81.1%Aut.
Economics
FinQA
65.2%Aut.
CRAG
43.1%Aut.
Finance
MMLU
77.6%Aut.
General
ARC-C
90.2%Aut.
IFEvalGoogle Research (2023)
87.2%Aut.
BFCL
56.2%Aut.
Language
Translation Set1→en COMET22
88.7%Aut.
Translation en→Set1 COMET22
88.5%Aut.
BBH
79.5%Aut.
Translation Set1→en spBleu
42.6%Aut.
Translation en→Set1 spBleu
40.2%Aut.
SQuALITY
18.8%Aut.
Math
GSM8k
92.3%Aut.
DROP
79.3%Aut.
MATH
69.3%Aut.
Índices de evaluación AA
(Artificial Analysis)Math Index(Artificial Analysis)6.0
Intelligence Index(Artificial Analysis)4.4
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.5
Gpqa(NYU + Cohere + Anthropic (2023))0.4
Ifbench(Google Research (2023))0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))0.1
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.1
Lcr(Artificial Analysis)0.1
Scicode(UIUC + Argonne National Lab (2024))0.1
Aime(MAA (Mathematical Association of America))0.1
Aime 25(MAA (Mathematical Association of America))0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
Terminalbench Hard(Stanford × Laude Institute (2026))0.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Structured Output90
Instruction Following90
Legal80
Math80
Healthcare80
Code80
Reasoning70
General70
Language60
Finance60
Tool Calling60
Economics50
Physics40
Search40
Biology40
Chemistry40
Long Context20
Summarization20
Precios
Precio de entrada$0.035 / 1M tokens
Precio de salida$0.14 / 1M tokens
Precio mixto (3:1)$0.061 / 1M tokens
Precio de lectura caché$0.00875 / 1M tokens
Velocidad
Tokens/seg284.1
Retraso del primer token0.65s
Tiempo hasta la respuesta0.65s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
5 proveedores
Más barato: AmazonMás caro: NanoGPT
ProveedorEntradaSalida
1AmazonPRINCIPAL
$0.035
$0.14
2OpenRouter
$0.035
$0.14
3Kilo Gateway
$0.035
$0.14
4Amazon Bedrock
$0.035
$0.14
5NanoGPT
$0.0357
$0.1394
Comparar precios entre diferentes proveedores de API para este modelo.