Llama 3 70B performance data on Rival is based on blind head-to-head community voting. All vote data is part of Rival's open dataset of 21,000+ human preference judgments across 200+ AI models. Model responses are curated from 0 challenges.
Llama 3 70B is a large language model from Meta with strong performance and efficiency for real-time interactions.
Use Llama 3 70B in your applications via the OpenRouter API. Copy the code below to get started.
import requests
response = requests.post(
"https://openrouter.ai/api/v1/chat/completions" ,
headers={
"Authorization""Bearer $OPENROUTER_API_KEY" : ,
"Content-Type""application/json" :
},
json={
"model""meta-llama/llama-3-70b-instruct" : ,
"messages""role""user""content""Hello!" : [{: , : }]
}
)
print(response.json())Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys
The model that follows instructions so literally it borders on performance art. Asked for a movie title, gives you a movie title. Nothing more. Nothing less.
Picks Blade Runner for its movie, OK Computer for its album, 1984 for its book, and Tokyo for its city. Every choice signals "I have taste and I am not afraid to be specific." Follows instructions with surgical precision and zero embellishment.
0 outputs from Llama 3 70B
No responses yet. We're working on it. This model is... being patient.
Try Llama 3 70B
We're not suggesting you leave Llama 3 70B. We're just... putting these here. In case you're curious. Which you are, because you scrolled this far.