LLM Reference
Together AI

Using Llama 3.3 70B Instruct (free) on Together AI

Implementation guide · Llama 3.3 · AI at Meta

ServerlessOpen Weights

Quick Start

  1. 1
    Create an account at Together AI and generate an API key.
  2. 2
    Use the Together AI SDK or REST API to call meta-llama/Llama-3.3-70B-Instruct-Turbo — see the documentation for request format.
  3. 3
    You'll be billed $1.04/1M input, $1.04/1M output tokens. See full pricing.

Code Examples

Install
pip install together
API key
TOGETHER_API_KEY
Model ID
meta-llama/Llama-3.3-70B-Instruct-Turbo

Together uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="meta-llama/Llama-3.3-70B-Instruct-Turbo",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

About Together AI

Platform for running open-source and proprietary LLMs

Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.

Pricing on Together AI

TypePrice (per 1M)
Input tokens$1.04
Output tokens$1.04

Capabilities

Structured Outputs

About Llama 3.3 70B Instruct (free)

Meta: Llama 3.3 70B Instruct (free) available via OpenRouter. Pricing: $null/1M input, $null/1M output.

Model Specs

Released2024-12-06
Parameters70B
Context66k
ArchitectureDecoder Only
Knowledge cutoff2023-12

Provider

Together AI
Together AI

San Francisco, California, United States