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by Meta AI

Meta: Llama 4 Scout.

multimodal open weights 10M ctx
Cheapest input
$0.08/M
on OpenRouter
Cheapest output
$0.3/M
on OpenRouter
Fastest
32 tok/s
on OpenRouter
Hosted equiv.
~$0.11/hr
@ 100 tok/s on OpenRouter

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...

Where to use it

Cheapest hosted endpoints.

Provider Access $/M in $/M out
OpenRouter api aggregator $0.08 $0.3 Launch ↗
Performance

Speed across providers.

Tokens/sec and time-to-first-token measured against the same prompt template on each provider's API.

Provider Tokens/sec TTFT Total
OpenRouter 32.4 1020 ms 3089 ms
FAQ

Frequently asked.

How do I run Meta: Llama 4 Scout?
Meta: Llama 4 Scout is open-weight, so you can self-host on rented GPUs. See the Run It Yourself tab for GPU configurations + cost estimates, or use one of the hosted inference providers listed on this page.
Where can I access Meta: Llama 4 Scout?
Meta: Llama 4 Scout is available via OpenRouter. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run Meta: Llama 4 Scout?
API pricing starts at $0.08/M input tokens and $0.3/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is Meta: Llama 4 Scout open-source or proprietary?
Meta: Llama 4 Scout is open-weight under the license. You can download and self-host it.