Question 1

How much does the Llama API cost?

Accepted Answer

Llama 4 Scout 17B is $0.11 per 1M input tokens and $0.34 per 1M output on most hosted providers (Fireworks, Together, Groq). Llama 3.3 70B Instruct runs at $0.23 / $0.40 per 1M. Self-hosting on your own GPUs can drop the marginal cost to near zero above ~50M tokens/day.

Question 2

Is Llama cheaper than GPT-4o?

Accepted Answer

Yes — dramatically. Llama 4 Scout 17B at $0.11/$0.34 is roughly 23× cheaper than GPT-4o on input and 29× cheaper on output, with a 10M-token context window. The quality gap on most production tasks is under 5 points on standard evals.

Question 3

Where can I run Llama models?

Accepted Answer

Hosted inference is available on Groq, Fireworks, Together, Replicate, OctoAI and Hyperbolic. Most price competitively within ±20% of each other. For self-hosting, Llama 4 Scout 17B runs comfortably on a single H100; Llama 3.3 70B needs 2× H100 or one H200.

Question 4

Llama 4 vs Llama 3.3 — which should I use?

Accepted Answer

Llama 4 Scout 17B has a massive 10M-token context window and is 50% cheaper than 3.3 70B at similar quality on most tasks. Pick Llama 4 for long-context, agentic, or cost-sensitive workloads. Pick Llama 3.3 70B only if you've measured a quality lift on your specific evals.

Question 5

Are Llama models truly open?

Accepted Answer

Llama 4 is released under the Llama 4 Community License, which permits commercial use up to 700M MAU. Above that you need a paid Meta license. Weights are downloadable from Hugging Face, so you can self-host, fine-tune, or distill freely within the license terms.

Model	Input / 1M	Output / 1M	Context
Llama 4 Scout 17B Meta	$0.11	$0.34	10000K
Llama 3.3 70B Instruct Meta	$0.23	$0.40	131K

Llama Pricing Calculator (Llama 4 & 3.3)

Hosted vs self-hosted Llama

Llama 4 Scout's 10M context window

Related guides

Frequently asked questions