AI Observatory / Model Radar
Meta / meta-llama/llama-3.2-11b-vision-instruct
Meta: Llama 3.2 11B Vision Instruct
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...
131,072
Context
16,384
Max output
$0.24 / 1M
Prompt price
2024-09-25
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | Meta | Input modalities | text, image |
|---|---|---|---|
| Output modalities | text | Prompt price | $0.24 / 1M |
| Completion price | $0.24 / 1M | Request price | N/A |
| Context length | 131,072 | Max completion tokens | 16,384 |
| Supported parameters | frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, temperature, top_k, top_p | ||
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meta-llama/llama-3.2-11b-vision-instruct
Meta: Llama 3.2 11B Vision Instruct
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...
Cross-modal work
High-volume usage
vision
low-cost
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.