Phi-4
MicrosoftPhiOpen WeightMIT · Uso Comercial
Descripción
phi-4 is a state-of-the-art open model built to excel at advanced reasoning, coding, and knowledge tasks. It leverages a blend of synthetic data, filtered web data, academic texts, and supervised fine-tuning for precision, alignment, and safety.
Fecha de lanzamiento
2024-12-12
Parámetros
14.7B
Longitud del contexto
16K
Modalidades
text
Radar de capacidades
25
general
24
coding
30
reasoning
36
science
28
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 508 | 10.0 | AA |
| Ranking general | 502 | 21.0 | AA |
| Ciencia | 383 | 35.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
65.8%Aut.
Code
HumanEvalOpenAI (2021)
82.6%Aut.
LiveCodeBench
53.8%Aut.
Creativity
Arena Hard
73.3%Aut.
Factuality
SimpleQA
3.0%Aut.
Finance
MMLU
84.8%Aut.
MMLU-Pro
74.3%Aut.
General
IFEvalGoogle Research (2023)
83.4%Aut.
PhiBench
70.6%Aut.
LiveBench
47.6%Aut.
Long Context
FlenQA
97.7%Aut.
Math
MGSM
80.6%Aut.
MATH
80.4%Aut.
OmniMath
76.6%Aut.
DROP
75.5%Aut.
AIME 2024
75.3%Aut.
AIME 2025
62.9%Aut.
Reasoning
HumanEval+
92.9%Aut.
Índices de evaluación AA
(Artificial Analysis)Math Index(Artificial Analysis)18.0
Intelligence Index(Artificial Analysis)4.6
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.7
Gpqa(NYU + Cohere + Anthropic (2023))0.6
Scicode(UIUC + Argonne National Lab (2024))0.3
Ifbench(Google Research (2023))0.2
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.2
Aime 25(MAA (Mathematical Association of America))0.2
Aime(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
Lcr(Artificial Analysis)0.0
Tau2(Sierra + U Toronto + Vector Institute (2025))0.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Legal80
Language80
Finance80
Healthcare80
Code80
Creativity80
Writing80
Math70
Reasoning70
General70
Physics60
Structured Output60
Instruction Following60
Biology60
Chemistry60
Factuality0
Precios
Precio de entrada$0.125 / 1M tokens
Precio de salida$0.5 / 1M tokens
Precio mixto (3:1)$0.219 / 1M tokens
Velocidad
Tokens/seg40.9
Retraso del primer token0.57s
Tiempo hasta la respuesta0.57s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
5 proveedores
Más barato: OpenRouterMás caro: Azure
ProveedorEntradaSalida
1OpenRouterMás barato
$0.07
$0.14
2Kilo Gateway
$0.07
$0.14
3MicrosoftPRINCIPAL
$0.125
$0.5
4Azure Cognitive Services
$0.125
$0.5
5Azure
$0.125
$0.5
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