Llama 3.2 Models by AI at Meta
Details
Capabilities
About
Llama 3.2, released by Meta, represents an advanced family of multilingual large language models (LLMs) that cater to both text-only and multimodal applications. Designed for flexibility, these models range in size to accommodate various computational capabilities 1. The smaller models, with parameters of 1B and 3B, are optimized for on-device functions such as summarization and instruction following, featuring a remarkable context length of 128K tokens, establishing them as leaders in their category 1. Conversely, the larger models, ranging up to 90B parameters, are enabled with vision capabilities, allowing them to undertake tasks like image captioning and visual reasoning 1. Supporting a diverse array of languages, including English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai, these models are versatile in their application, easily accessible via Meta's Llama website and the Hugging Face platform 3.
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 128k context, 11B parameters, and structured outputs.
Use when the workload needs 128k context, 90B parameters, and structured outputs.
Use when the workload needs 128k context and 1.2B parameters.
Use when the workload needs 128k context, 1.2B parameters, and structured outputs.
Use when the workload needs 128k context and 3.2B parameters.
Use when the workload needs 128k context, 3.2B parameters, and structured outputs.
Use when the workload needs 128k context, 10.6B parameters, and structured outputs.
Use when the workload needs 128k context, 10.6B parameters, and structured outputs.
Use when the workload needs 128k context, 88.8B parameters, and structured outputs.
Use when the workload needs 128k context, 88.8B parameters, and multimodal inputs.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Llama 3.2 11B Instruct | Use when the workload needs 128k context, 11B parameters, and structured outputs. | 2025-09 | 128k context11B parametersstructured outputs | Current |
| Llama 3.2 90B Instruct | Use when the workload needs 128k context, 90B parameters, and structured outputs. | 2025-09 | 128k context90B parametersstructured outputs | Current |
| Llama 3.2 1B | Use when the workload needs 128k context and 1.2B parameters. | 2024-09 | 128k context1.2B parameters | Current |
| Llama 3.2 1B Instruct | Use when the workload needs 128k context, 1.2B parameters, and structured outputs. | 2024-09 | 128k context1.2B parametersstructured outputs | Current |
| Llama 3.2 3B | Use when the workload needs 128k context and 3.2B parameters. | 2024-09 | 128k context3.2B parameters | Current |
| Llama 3.2 3B Instruct | Use when the workload needs 128k context, 3.2B parameters, and structured outputs. | 2024-09 | 128k context3.2B parametersstructured outputs | Current |
| Llama 3.2 11B Vision | Use when the workload needs 128k context, 10.6B parameters, and structured outputs. | 2024-09 | 128k context10.6B parametersstructured outputs | Current |
| Llama 3.2 11B Vision Instruct | Use when the workload needs 128k context, 10.6B parameters, and structured outputs. | 2024-09 | 128k context10.6B parametersstructured outputs | Current |
| Llama 3.2 90B Vision | Use when the workload needs 128k context, 88.8B parameters, and structured outputs. | 2024-09 | 128k context88.8B parametersstructured outputs | Current |
| Llama 3.2 90B Vision Instruct | Use when the workload needs 128k context, 88.8B parameters, and multimodal inputs. | 2024-09 | 128k context88.8B parametersmultimodal inputs | Current |
Release Timeline
2 release groupsSpecifications(10 models)
| Model | Released | Context | Parameters | Vision | Multimodal | Structured Outputs |
|---|---|---|---|---|---|---|
| Llama 3.2 11B Instruct | 2025-09 | 128k | 11B | Yes | Yes | Yes |
| Llama 3.2 90B Instruct | 2025-09 | 128k | 90B | Yes | Yes | Yes |
| Llama 3.2 1B | 2024-09 | 128k | 1.23B | No | No | No |
| Llama 3.2 1B Instruct | 2024-09 | 128k | 1.23B | No | No | Yes |
| Llama 3.2 3B | 2024-09 | 128k | 3.21B | No | No | No |
| Llama 3.2 3B Instruct | 2024-09 | 128k | 3.21B | No | No | Yes |
| Llama 3.2 11B Vision | 2024-09 | 128k | 10.6B | Yes | No | Yes |
| Llama 3.2 11B Vision Instruct | 2024-09 | 128k | 10.6B | Yes | Yes | Yes |
| Llama 3.2 90B Vision | 2024-09 | 128k | 88.8B | Yes | No | Yes |
| Llama 3.2 90B Vision Instruct | 2024-09 | 128k | 88.8B | Yes | Yes | No |
Available From(9 providers)
Pricing
Popular comparisons in this family
- Llama 3.2 1B Instruct vs Phi-3 Mini 4k348
- DeepSeek V4 Flash vs Llama 3.2 1B Instruct329
- Llama 3.2 1B Instruct vs Llama 3 8B Instruct119
- DeepSeek V4 Pro vs Llama 3.2 1B Instruct85
- Llama 3.2 1B Instruct vs Qwen3.6-27B75
- Grok-3 vs Llama 3.2 1B72
- DeepSeek V4 Flash vs Llama 3.2 1B56
- Llama 3.2 1B Instruct vs Phi-4 Mini Flash Reasoning55
- GPT-5.5 vs Llama 3.2 1B54
- Llama 3.2 1B Instruct vs Qwen3.5-27B54
Frequently Asked Questions
- What is Llama 3.2 used for?
- Llama 3.2 is used for vision and multimodal work and structured outputs. The family description and listed model capabilities point to those workloads as the best fit.
- How does Llama 3.2 compare to Segment Anything?
- Llama 3.2 by AI at Meta is strongest where you need vision and multimodal work, while Segment Anything by AI at Meta is the closest related family to check for image segmentation. Llama 3.2 has 10 listed variants and reaches up to 128k context, so compare the specs and pricing tables before choosing a production model.
- Which Llama 3.2 model should I use?
- For the lowest listed input price, start with Llama 3.2 1B Instruct through Cloudflare Workers AI at $0.027/1M input tokens. For the most capable/latest local choice, evaluate Llama 3.2 11B Instruct with 128k context and structured outputs and multimodal inputs.
Related Model Families
Models(10)
Llama 3.2 11B Instruct
Llama 3.2 90B Instruct
Llama 3.2 1B
Llama 3.2 1B Instruct
Llama 3.2 3B
Llama 3.2 3B Instruct
Llama 3.2 11B Vision
Llama 3.2 11B Vision Instruct
Llama 3.2 90B Vision
Llama 3.2 90B Vision Instruct