Llama 3.2 1B Instruct: Pricing, Context Window & Benchmarks
1Bby Meta
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 efficiently in low-resource environments while maintaining strong task performance. Supporting eight core languages and fine-tunable for more, Llama 1.3B is ideal for businesses or developers seeking lightweight yet powerful AI solutions that can operate in diverse multilingual settings without the high computational demand of larger models. Click here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD.md). Usage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).
What you can do with Llama 3.2 1B Instruct
Everyday Q&A and clear explanations
Writing help (emails, posts, summaries)
Idea generation and brainstorming
Learning support with step-by-step guidance
Composite Indices
Intelligence, Coding, Math
Standard Benchmarks
Academic and industry benchmarks
Benchmark Highlights
| Metric | Value |
|---|---|
| Provider | Meta |
| Context Window | 60,000 tokens |
| Input Price | $0.10/1M tokens |
| Output Price | $0.10/1M tokens |
| Release Date | Sep 25, 2024 |
| Modalities | text |
| Capabilities | N/A |
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Frequently asked questions
What is Llama 3.2 1B Instruct good for?
Use Llama 3.2 1B Instruct for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.
How much does Llama 3.2 1B Instruct cost?
Pricing is based on usage. Current rates are $0.10/1M tokens for input and $0.10/1M tokens for output.
Can I try Llama 3.2 1B Instruct for free?
Yes. You can start a chat instantly and test the model before deciding on a plan.
Does Llama 3.2 1B Instruct support images or audio?
Llama 3.2 1B Instruct focuses on text-based tasks.
Suggested comparisons
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Benchmarks and pricing are sourced from Artificial Analysis where available. OpenRouter specs are used as a fallback.
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