Closed-API quality that never leaves your loop. Handles multi-page documents, writes working code and keeps the tone — the price is a card with 80 GB and a more modest speed. Worth it when answer quality beats the hourly rate.
| MMLU | 86 | |
|---|---|---|
| GSM8K | 95.1 | |
| HumanEval | 88.4 |
Which GPU does Llama 3.3 70B need?
The entry configuration is 1x A100, which delivers around 22 tokens per second. For more parallel requests and headroom on speed, go with 1x H100.
How much does Llama 3.3 70B cost?
An hour of Llama 3.3 70B runs from $1.49 to $3.43 depending on the GPU configuration. Billing is hourly: you pay for server time, not for tokens.
How do I call Llama 3.3 70B from my code?
Once deployed you get an OpenAI-compatible endpoint: point any OpenAI client at the base_url you receive and pass llama3.3:70b as the model name. Code written against the OpenAI API needs no changes.
Does the data stay private?
Yes. Llama 3.3 70B runs on a dedicated GPU server inside a private loop: requests and responses never reach the model vendor and are not used for training.
What context window and license does Llama 3.3 70B have?
Llama 3.3 70B holds 16K tokens of context per request and ships under the Llama 3.3 Community License license, so you can use it commercially on your own hosting terms.