Llama 3.3 70B

by meta · family llama

Facts

Release date	2024-12-06
Retired date	—
Knowledge cutoff	—
Context (max)	131,072
Max output	—
Modalities	text → text
Aliases	`Llama-3.3-70B-Instructllama-v3p3-70b-instruct`
Open weights	yes
Description	Open-weight 70B instruct model; served by third parties.

Unknown values are shown as —.

Offerings

Provider	Wire ID	Endpoint	Protocol	Status	Price (USD / Mtok)	Reasoning
IO Intelligence (io.net)	`meta-llama/Llama-3.3-70B-Instruct`	chat	openai-chat	ga	0.64 / 0.77	none · default off · returns hidden
NVIDIA NIM API	`meta/llama-3.3-70b-instruct`	v1-chat-completions	openai-chat	retired	—	none · default off · returns hidden
OpenRouter	`meta-llama/llama-3.3-70b-instruct`	chat-completions	openai-chat	ga	0.71 / 0.71	none · default off · returns reasoning_content

Reasoning controls

IO Intelligence (io.net)· meta-llama/Llama-3.3-70B-Instruct· chat none

none · default off · returns hidden

NVIDIA NIM API· meta/llama-3.3-70b-instruct· v1-chat-completions none

none · default off · returns hidden

OpenRouter· meta-llama/llama-3.3-70b-instruct· chat-completions none

none · default off · returns reasoning_content

Example requests

IO Intelligence (io.net) · openai-chat · meta-llama/Llama-3.3-70B-Instruct

curl 'https://api.intelligence.io.solutions/api/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "meta-llama/Llama-3.3-70B-Instruct",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ]
}'

Python (requests)

import requests

resp = requests.post(
    "https://api.intelligence.io.solutions/api/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "meta-llama/Llama-3.3-70B-Instruct",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ]
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://api.intelligence.io.solutions/api/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "meta-llama/Llama-3.3-70B-Instruct",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ]
  }),
})
console.log(await resp.json())

NVIDIA NIM API · openai-chat · meta/llama-3.3-70b-instruct

curl 'https://integrate.api.nvidia.com/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "meta/llama-3.3-70b-instruct",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ]
}'

Python (requests)

import requests

resp = requests.post(
    "https://integrate.api.nvidia.com/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "meta/llama-3.3-70b-instruct",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ]
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://integrate.api.nvidia.com/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "meta/llama-3.3-70b-instruct",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ]
  }),
})
console.log(await resp.json())

OpenRouter · openai-chat · meta-llama/llama-3.3-70b-instruct

curl 'https://openrouter.ai/api/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "meta-llama/llama-3.3-70b-instruct",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ]
}'

Python (requests)

import requests

resp = requests.post(
    "https://openrouter.ai/api/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "meta-llama/llama-3.3-70b-instruct",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ]
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "meta-llama/llama-3.3-70b-instruct",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ]
  }),
})
console.log(await resp.json())