Llama 3.3 Instruct 70B
MetaLlamaOpen WeightLlama 3.3 Community License Agreement
Descripción
Llama 3.3 is a multilingual large language model optimized for dialogue use cases across multiple languages. It is a pretrained and instruction-tuned generative model with 70 billion parameters, outperforming many open-source and closed chat models on common industry benchmarks. Llama 3.3 supports a context length of 128,000 tokens and is designed for commercial and research use in multiple languages.
Fecha de lanzamiento
2024-12-06
Parámetros
70.0B
Longitud del contexto
131K
Modalidades
text
Radar de capacidades
26
general
18
coding
28
reasoning
36
science
80
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 532 | 17.0 | AA |
| Ranking general | 409 | 34.0 | AA |
| Ciencia | 519 | 25.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Chat
IFEvalGoogle Research (2023)
92.1%Aut.
General
MMLU
86.0%Aut.
BFCL v2
77.3%Aut.
Language
MMLU-Pro
68.9%Aut.
Math
MGSM
91.1%Aut.
MATH
77.0%Aut.
Reasoning
HumanEvalOpenAI (2021)
88.4%Aut.
MBPP EvalPlus
87.6%Aut.
GPQANYU + Cohere + Anthropic (2023)
50.5%Aut.
Índices de evaluación AA
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))77.3
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))71.3
Gpqa(NYU + Cohere + Anthropic (2023))49.8
Ifbench(Google Research (2023))47.1
Aime(MAA (Mathematical Association of America))30.0
Livecodebench(UC Berkeley + MIT + Cornell (2024))28.8
Tau2(Sierra + U Toronto + Vector Institute (2025))26.6
Lcr(Artificial Analysis)15.7
Coding Index(Artificial Analysis)11.9
Intelligence Index(Artificial Analysis)7.7
Math Index(Artificial Analysis)7.7
Aime 25(MAA (Mathematical Association of America))7.7
Terminalbench V2 14.9
Hle(Center for AI Safety + Scale AI (2025))3.6
Terminalbench Hard(Stanford × Laude Institute (2026))3.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Chat90
Instruction Following90
Structured Output90
Code90
Language80
Legal80
Math80
Reasoning80
Finance80
General80
Healthcare80
Tool Calling80
Physics50
Biology50
Chemistry50
Precios
Precio de entrada$0.71 / 1M tokens
Precio de salida$0.72 / 1M tokens
Precio mixto (3:1)$0.712 / 1M tokens
Velocidad
Tokens/seg90.3
Retraso del primer token0.64s
Tiempo hasta la respuesta0.64s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
6 proveedores
Más barato: DeepInfraMás caro: Meta
ProveedorEntradaSalida
1DeepInfraMás barato
$0
$0
2NanoGPT
$0.05
$0.23
3OpenRouter
$0.1
$0.32
4Kilo Gateway
$0.1
$0.32
5NovitaAI
$0.135
$0.4
6MetaPRINCIPAL
$0.71
$0.72
Comparar precios entre diferentes proveedores de API para este modelo.