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 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.
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Usage of this model is subject to Meta's Acceptable Use Policy.
131,072 Token Context
Process and analyze large documents and conversations.
Advanced Coding
Improved capabilities in front-end development and full-stack updates.
Agentic Workflows
Autonomously navigate multi-step processes with improved reliability.
Vision Capabilities
Process and understand images alongside text inputs.
Available On
| Provider | Model ID | Context | Max Output | Input Cost | Output Cost | Throughput | Latency |
|---|---|---|---|---|---|---|---|
| DeepInfra | deepInfra | 131K | 16K | $0.05/M | $0.05/M | 11.4 t/s | 3171 ms |
| Cloudflare | cloudflare | 131K | - | $0.05/M | $0.68/M | 33.7 t/s | 266 ms |
| Lambda | lambda | 131K | 131K | $0.05/M | $0.05/M | 110.1 t/s | 432 ms |
| inference.net | inferenceNet | 16K | 16K | $0.06/M | $0.06/M | 31.1 t/s | 2120 ms |
| NovitaAI | novitaAi | 33K | - | $0.06/M | $0.06/M | 50.2 t/s | 791 ms |
| Together | together | 131K | - | $0.18/M | $0.18/M | 140.3 t/s | 387 ms |
per 1K tokens
per 1K tokens
per image