Last refreshed 2026-06-15. Next refresh: weekly.
Why use Together AI Llama-3-70B-Instruct on Together AI?
Together AI offers Together AI Llama-3-70B-Instruct with pay-as-you-go pricing at $0.60/1M input tokens. Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.
Setup recipe
Python + curlpip install togetherexport TOGETHER_API_KEY=...from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="together-llama-3-70b-instruct",together-llama-3-70b-instructRequest example
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="together-llama-3-70b-instruct",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- 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.
- The examples expect TOGETHER_API_KEY; rename it only if your application config maps the new variable.
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.60 |
| Output tokens | $0.75 |
Capabilities
About Together AI Llama-3-70B-Instruct
Together AI Llama-3-70B-Instruct is Meta's Llama 3 model. It offers an 8K-token context window with weights openly available for self-hosting.
FAQ
What does Together AI Llama-3-70B-Instruct cost on Together AI?
On Together AI, Together AI Llama-3-70B-Instruct costs $0.6 per 1M input tokens and $0.75 per 1M output tokens.
What is the context window for Together AI Llama-3-70B-Instruct on Together AI?
Together AI Llama-3-70B-Instruct supports a 8k token context window on Together AI.
Who created Together AI Llama-3-70B-Instruct?
Together AI Llama-3-70B-Instruct was created by AI at Meta as part of the Llama 3 model family.
Is Together AI Llama-3-70B-Instruct open source?
Together AI Llama-3-70B-Instruct has open weights under Llama 3 Community according to the seed data, but that does not necessarily mean an OSI-approved open-source license.