Llama 3.1 Instruct 70B
MetaLlamaOpen WeightLlama 3.1 Community License
Descripción
Llama 3.1 70B Instruct is a large language model optimized for multilingual dialogue use cases. It outperforms many available open source and closed chat models on common industry benchmarks.
Fecha de lanzamiento
2024-07-23
Parámetros
70.0B
Longitud del contexto
131K
Modalidades
text
Radar de capacidades
25
general
24
coding
20
reasoning
29
science
70
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 480 | 13.0 | AA |
| Ranking general | 446 | 28.0 | AA |
| Ciencia | 438 | 29.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
41.7%Aut.
Code
HumanEvalOpenAI (2021)
80.5%Aut.
Gorilla Benchmark API Bench
29.7%Aut.
Finance
MMLU (CoT)
86.0%Aut.
MMLU
83.6%Aut.
MMLU-Pro
66.4%Aut.
General
ARC-C
94.8%Aut.
IFEvalGoogle Research (2023)
87.5%Aut.
MBPP ++ base version
86.0%Aut.
BFCL
84.8%Aut.
Multipl-E HumanEval
65.5%Aut.
Multipl-E MBPP
62.0%Aut.
Nexus
56.7%Aut.
Math
GSM-8K (CoT)
95.1%Aut.
Multilingual MGSM (CoT)
86.9%Aut.
DROP
79.6%Aut.
MATH (CoT)
68.0%Aut.
Reasoning
API-Bank
90.0%Aut.
Índices de evaluación AA
(Artificial Analysis)Intelligence Index(Artificial Analysis)6.5
Math Index(Artificial Analysis)4.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.7
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.6
Gpqa(NYU + Cohere + Anthropic (2023))0.4
Ifbench(Google Research (2023))0.3
Scicode(UIUC + Argonne National Lab (2024))0.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.2
Aime(MAA (Mathematical Association of America))0.2
Tau2(Sierra + U Toronto + Vector Institute (2025))0.2
Lcr(Artificial Analysis)0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
Aime 25(MAA (Mathematical Association of America))0.0
Terminalbench Hard(Stanford × Laude Institute (2026))0.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Instruction Following90
Structured Output90
Language80
Legal80
Math80
Finance80
Healthcare80
Reasoning70
General70
Tool Calling70
Code60
Physics40
Biology40
Chemistry40
Precios
Precio de entrada$0.56 / 1M tokens
Precio de salida$0.56 / 1M tokens
Precio mixto (3:1)$0.56 / 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
3 proveedores
Más barato: OpenRouterMás caro: Meta
ProveedorEntradaSalida
1OpenRouterMás barato
$0.4
$0.4
2Kilo Gateway
$0.4
$0.4
3MetaPRINCIPAL
$0.56
$0.56
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