meta-llama/Llama-3.2-1B-Instruct✓ Catalog verified
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. Usage of this model is subject to Meta's Acceptable Use Policy.
Overview
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. Usage of this model is subject to Meta's Acceptable Use Policy.
Access: available through the official Meta API. Context window: 60K.
Specifications
| API identifier | meta-llama/llama-3.2-1b-instruct |
| Provider | Meta |
| Model type | Text LLM |
| Context window | 60K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Sep 25, 2024 |
| Tokenizer | Llama3 |
| Instruction format | llama3 |
| Moderated | No |
| Architecture modality | text->text |
Pricing
Live pricing components for meta-llama/llama-3.2-1b-instruct as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $2.7e-8 | $0.03 / 1M | Per input token |
| Completion tokens | $2e-7 | $0.20 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.05Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | Not advertised | Supports tools / function calling |
| Self-Hosting | ✓ Supported | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call meta-llama/Llama-3.2-1B-Instruct through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="meta-llama/llama-3.2-1b-instruct",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| DeepSeek: R1 | DeepSeek | 64K | $0.70 | View → |
| WizardLM-2 8x22B | Microsoft | 66K | $0.62 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does meta-llama/Llama-3.2-1B-Instruct cost?
$0.03 per 1M input tokens and $0.20 per 1M output tokens on the official Meta API.
What is the context window of meta-llama/Llama-3.2-1B-Instruct?
meta-llama/Llama-3.2-1B-Instruct supports up to 60K tokens of context.
Does meta-llama/Llama-3.2-1B-Instruct support tool / function calling?
meta-llama/Llama-3.2-1B-Instruct does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.
How do I access meta-llama/Llama-3.2-1B-Instruct?
Use the official Meta API with the model id `meta-llama/llama-3.2-1b-instruct`. See the Quick start section above for code examples.