llama-3.2-1b
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...
Modalities
Quick stats
Performance
Supported parameters
| Parameter | Always | Default |
|---|---|---|
| frequency_penalty | - | |
| logit_bias | - | |
| max_tokens | - | |
| min_p | - | |
| presence_penalty | - | |
| repetition_penalty | - | |
| seed | - | |
| stop | - | |
| temperature | - | |
| top_k | - | |
| top_p | - |
Pricing
| Input price | $0.00 · 1M tokens |
| Output price | $0.00 · 1M tokens |
| Context window | 128K tokens |
| Compatible endpoints | openai |
| Vendor | Meta |
Call llama-3.2-1b from your code
Point any OpenAI-compatible SDK at UnoRouter and request the model by name. Replace YOUR_API_KEY with a real key from your dashboard.
curl https://api.unorouter.ai/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "llama-3.2-1b",
"messages": [{"role": "user", "content": "Hello!"}]
}'Frequently asked questions
How much does llama-3.2-1b cost per 1M tokens?
Input is priced at $0.00 per 1M tokens, output at $0.00 per 1M tokens. Billing is per token, no rounding to batch sizes.
How do I access llama-3.2-1b via API?
Send requests to the UnoRouter /v1/chat/completions endpoint with model=llama-3.2-1b. Any OpenAI-compatible client library works. Authentication uses a standard Bearer token.
What is the context window of llama-3.2-1b?
llama-3.2-1b supports a context window of 128K tokens, shared between your prompt and the model's response.