Llama 3.2 3B Instruct
Open weightMeta · Released September 2024 · Knowledge cutoff December 2023
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
It belongs to Meta's open-weight Llama family: Llama 4 Maverick is the capability lead, Scout the efficient long-context sibling, and the 3.x line remains a dependable workhorse.
Facts and pricing
- Provider
- Meta
- Context window
- 131K tokens
- Input price
- 0.55 credits / 1M tokens ($0.050 raw)
- Output price
- 3.6 credits / 1M tokens ($0.33 raw)
- Vision (image input)
- No
- Tool calling
- No
- Extended reasoning
- No
Credits are what Zeplik bills: 1 credit = $0.10, computed from the raw provider rate with a 1.10x margin. Raw prices shown per 1M tokens.
What Llama 3.2 3B Instruct is best for
- Everyday chat and drafting on an open-weight model with transparent lineage
Example prompts
Prompts that suit a open weight model like Llama 3.2 3B Instruct:
- Draft a project update from these rough notes
- Explain how HTTPS works to a curious teenager
- Turn this list of features into a changelog entry
- Brainstorm objections to this proposal and how to answer them
Meta family
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| Llama Guard 4 12B | 164K | 2.0 | 2.0 | April 2025 |
| Llama 4 Maverick | 128K | 2.2 | 7.7 | April 2025 |
| Llama 4 Scout | 328K | 1.1 | 3.3 | April 2025 |
| Llama 3.3 70B Instruct | 131K | 1.1 | 3.5 | December 2024 |
| Llama 3.2 3B Instruct | 131K | 0.55 | 3.6 | September 2024 |
| Llama 3.2 1B Instruct | 60K | 0.30 | 2.2 | September 2024 |
| Llama 3.1 8B Instruct | 131K | 0.55 | 0.88 | July 2024 |
| Llama 3.1 70B Instruct | 131K | 4.4 | 4.4 | July 2024 |
Frequently asked questions
- What is Llama 3.2 3B Instruct?
- Llama 3.2 3B Instruct is an AI model by Meta. Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
- How much does Llama 3.2 3B Instruct cost on Zeplik?
- Input tokens cost 0.55 credits per million and output tokens 3.6 credits per million (1 credit = $0.10; the raw provider rates are $0.050 and $0.33 per million). New accounts start with free credits.
- How long can a conversation with Llama 3.2 3B Instruct be?
- Llama 3.2 3B Instruct has a 131K-token context window (131,072 tokens), which covers the conversation plus any documents you attach.
- Does Llama 3.2 3B Instruct support images and tools?
- Llama 3.2 3B Instruct is text-only and does not support tool calling.
Related models
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...
More you can do with Llama 3.2 3B Instruct
- 465 AI skillsReady-to-run expert methods for writing, data, code and more, each running on Llama 3.2 3B Instruct or any model you pick.
- 997 integrationsConnect Gmail, Slack, GitHub, Notion and hundreds more so the assistant can work in your apps.
- Simple pricingPlus, Pro and Max plans with a monthly credit allowance that works across every model.