Llama 3.2 11B Vision Instruct

Llama 3.2 11B Vision Instruct by Meta excels in the Coding category, where it ranks #230 with a composite score of 41/100. 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 gap between language generation and visual reasoning. Pre-trained on a massive dataset of image-text pairs, it performs well in complex, high-accuracy image analysis. Its ability to integrate visual understanding with language processing makes it an ideal solution for industries requiring comprehensive visual-linguistic AI applications, such as content creation, AI-driven customer service, and research. Click here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD_VISION.md). Usage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/). It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Llama 3.2 11B Vision Instruct is priced at $0.05 per million input tokens and $0.05 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Llama 3.2 11B Vision Instruct holds rank #230 out of 6 models tracked. Its quality rank is #230 and adoption rank is #230. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Llama 3.2 11B Vision Instruct has been evaluated across 6 different signals. Its strongest areas include Capabilities (43/100), Context Window (81/100), Output Capacity (70/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 41/100 reflects a weighted combination of all tracked signals.

Llama 3.2 11B Vision Instruct is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Meta's website for current free tier availability and promotional offers.