by Meta AI

Llama-3.2-11B-Vision-Instruct.

multimodal open weights laptop+ 11B params 131K ctx
Cheapest input
$0.245/M
on DeepInfra
Cheapest output
$0.245/M
on DeepInfra
Smallest GPU
1× AMD Radeon RX 5700 XT

Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and visual question answering, bridging the g

Smallest GPU to run it See all quantisations →

1× AMD Radeon RX 5700 XT.

Most-aggressive quantisation we have a working recommendation for. Lower precision = less VRAM = cheaper hardware, at a small accuracy cost.

Where to use it

Cheapest hosted endpoints.

Provider Access $/M in $/M out
DeepInfra hosted inference $0.245 $0.245 Launch ↗
OpenRouter api aggregator $0.245 $0.245 Launch ↗
FAQ

Frequently asked.

How do I run Llama-3.2-11B-Vision-Instruct?
Llama-3.2-11B-Vision-Instruct 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 Llama-3.2-11B-Vision-Instruct?
Llama-3.2-11B-Vision-Instruct is available via DeepInfra, OpenRouter. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run Llama-3.2-11B-Vision-Instruct?
API pricing starts at $0.245/M input tokens and $0.245/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is Llama-3.2-11B-Vision-Instruct open-source or proprietary?
Llama-3.2-11B-Vision-Instruct is open-weight under the license. You can download and self-host it.