ERNIE 4.5 300B A47B
BaiduProprietary
Descripción
ERNIE 4.5 is an enhanced version of ERNIE 4.0 with improved reasoning capabilities, better instruction following, and stronger performance across multiple domains including mathematics, coding, and creative writing. Features advanced knowledge integration, multilingual support, and optimized thinking capabilities. This 21B parameter model uses A3B quantization for efficient inference.
Fecha de lanzamiento
2025-06-30
Parámetros
21.0B
Longitud del contexto
123K
Modalidades
image, text
Radar de capacidades
29
general
43
coding
55
reasoning
48
science
51
agents
80
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 401 | 22.0 | AA |
| Ranking general | 412 | 30.0 | AA |
| Ciencia | 264 | 47.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
74.0%Aut.
Factuality
SimpleQA
1.8%Aut.
Finance
MMLU
41.9%Aut.
MMLU-Pro
16.0%Aut.
General
ARC-E
60.7%Aut.
PIQA
55.2%Aut.
MMLU-Redux
43.2%Aut.
C-Eval
40.7%Aut.
ARC-C
40.6%Aut.
MBPP+
40.2%Aut.
CMMLU
39.8%Aut.
AGIEval
28.5%Aut.
Language
Winogrande
51.3%Aut.
CLUEWSC
48.6%Aut.
BBH
30.4%Aut.
Math
DROP
28.6%Aut.
GSM8k
25.2%Aut.
MATH
12.4%Aut.
Reasoning
HellaSwagAI2 (2019)
33.0%Aut.
HumanEval+
25.0%Aut.
Índices de evaluación AA
(Artificial Analysis)Math Index(Artificial Analysis)41.3
Intelligence Index(Artificial Analysis)8.9
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.9
Gpqa(NYU + Cohere + Anthropic (2023))0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.8
Aime(MAA (Mathematical Association of America))0.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.5
Aime 25(MAA (Mathematical Association of America))0.4
Ifbench(Google Research (2023))0.4
Scicode(UIUC + Argonne National Lab (2024))0.3
Terminalbench Hard(Stanford × Laude Institute (2026))0.1
Lcr(Artificial Analysis)0.0
Hle(Center for AI Safety + Scale AI (2025))0.0
Tau2(Sierra + U Toronto + Vector Institute (2025))0.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Biology70
Chemistry70
Physics60
Language40
Reasoning40
General40
Legal30
Math30
Finance30
Healthcare30
Factuality0
Precios
Precio de entrada$0.28 / 1M tokens
Precio de salida$1.1 / 1M tokens
Precio mixto (3:1)$0.485 / 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: BaiduMás caro: Kilo Gateway
ProveedorEntradaSalida
1BaiduPRINCIPAL
$0.28
$1.1
2OpenRouter
$0.42
$1.25
3Jiekou.AI
$0.42
$1.25
4NovitaAI
$0.42
$1.25
5Kilo Gateway
$0.42
$1.25
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