Meta's flagship open-weight model with 70 billion parameters. Strong multilingual capabilities with competitive performance on reasoning and coding benchmarks. Available for self-hosting and through various inference providers.
131K tokens
15
Disponible
Más económico
Inference.net
$0.60/1M tokens
Más rápido
Groq
89ms TTFT
Anyscale, Baseten, Cerebras, Fireworks, Groq, Hyperbolic, Inference.net, Lambda, Nebius, NLP Cloud, Novita, Perplexity, SambaNova, SiliconFlow, Together AI
Ordenados por coste total (entrada y salida por 1 millón de tokens). Selecciona una fila para ver los detalles del proveedor.
| Proveedor | Precio (por 1 M) | Límites | Regiones | Estado | Latencia |
|---|---|---|---|---|---|
Entrada: $0.30Salida: $0.30 | 60 RPM / 200K TPM | us-east-1eu-west-1 | Operativo | 0ms | |
Entrada: $0.20Salida: $0.40 | 200 RPM / 800K TPM | us-east-1us-west-2 | No disponible | 0ms | |
Entrada: $0.35Salida: $0.35 | 60 RPM / 200K TPM | us-east-1 | Operativo | 0ms | |
Entrada: $0.35Salida: $0.35 | 600 RPM / 1.0M TPM | ap-east-1global | Operativo | 0ms | |
Entrada: $0.40Salida: $0.40 | 60 RPM / 200K TPM | us-west-2 | Operativo | 0ms | |
Entrada: $0.50Salida: $0.50 | 600 RPM / 1.0M TPM | us-east-1us-west-2 | Operativo | 0ms | |
Entrada: $0.50Salida: $0.50 | 60 RPM / 300K TPM | eu-west-1 | Operativo | 0ms | |
Entrada: $0.60Salida: $0.60 | 30 RPM / 60K TPM | us-east-1 | Operativo | 0ms | |
Entrada: $0.60Salida: $0.60 | 100 RPM / 500K TPM | us-west-2 | Operativo | 0ms | |
Entrada: $0.65Salida: $0.65 | 120 RPM / 500K TPM | us-east-1us-west-2 | Operativo | 0ms | |
Entrada: $0.59Salida: $0.79 | 30 RPM / 100K TPM | us-east-1eu-west-1 | Operativo | 89ms | |
Entrada: $0.88Salida: $0.88 | 600 RPM / 1.0M TPM | us-east-1us-west-2 | Operativo | 0ms | |
Entrada: $0.90Salida: $0.90 | 600 RPM / 1.0M TPM | us-east-1us-west-2 | Operativo | 0ms | |
Entrada: $1.00Salida: $1.00 | 100 RPM / 200K TPM | us-east-1us-west-2 | Operativo | 0ms | |
Entrada: $1.20Salida: $1.20 | 60 RPM / 200K TPM | us-east-1eu-west-1 | Operativo | 0ms |
Usa este modelo mediante Inference.net con un SDK compatible con OpenAI.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.inference-net.com/v1",
apiKey: process.env.INFERENCE_NET_API_KEY,
});
const response = await client.chat.completions.create({
model: "meta-llama/Llama-3.3-70B-Instruct",
messages: [
{ role: "user", content: "Hello!" }
],
});
console.log(response.choices[0].message.content);API de Inference.net · SDK compatible con OpenAI