Meta model
Llama 3.2 1B Instruct API cost calculator
Llama 3.2 1B Instruct costs $0.03 per 1M input tokens and $0.20 per 1M output tokens on the Meta API, with a 60K-token context window. A typical request (2K input, 500 output tokens) costs $0.0002 — about $4.63/month at 1,000 requests per day. Use the calculator below to model your exact workload.
Find me a cheaper modelWhat real workloads cost on Llama 3.2 1B Instruct
| Workload | Tokens (in / out) | Per request | Per 1K requests |
|---|---|---|---|
| Chatbot message | 500 / 300 | <$0.0001 | $0.07 |
| RAG query with context | 4,000 / 500 | $0.0002 | $0.21 |
| Document summarization | 20,000 / 1,000 | $0.0007 | $0.74 |
| Agent coding session | 100,000 / 5,000 | $0.0037 | $3.71 |
Llama 3.2 1B Instruct vs other Meta models
| Model | Input /1M | Output /1M | Context |
|---|---|---|---|
| Llama 3.2 1B Instruct | $0.03 | $0.20 | 60K |
| Llama Guard 4 12B | $0.18 | $0.18 | 1.0M |
| Llama 4 Maverick | $0.20 | $0.80 | 1.0M |
| Llama 4 Scout | $0.10 | $0.30 | 1.3M |
| Llama 3.3 70B Instruct | $0.10 | $0.32 |
Frequently asked questions
How much does Llama 3.2 1B Instruct cost per 1M tokens?
According to current pricing data, Llama 3.2 1B Instruct costs $0.03 per 1M input tokens and $0.20 per 1M output tokens. Processing 1M tokens each way costs $0.23.
What does a typical API request to Llama 3.2 1B Instruct cost?
A typical request with 2,000 input tokens and 500 output tokens costs $0.0002. At 1,000 requests per day that is $0.15 daily, or about $4.63 per month.
What is Llama 3.2 1B Instruct's context window?
Llama 3.2 1B Instruct supports a 60K-token context window (60,000 tokens).
Does Llama 3.2 1B Instruct support prompt caching?
No cache-read pricing is published for Llama 3.2 1B Instruct, so every input token is billed at the full $0.03 per 1M rate.
What is a cheaper alternative to Llama 3.2 1B Instruct?
Ling-2.6-flash from Inclusionai is currently the cheapest comparable option at $0.01 per 1M input tokens versus $0.03 for Llama 3.2 1B Instruct — roughly 3x cheaper on input.
Compare all current prices on the live model pricing dashboard, see Llama 3.2 1B Instruct vs Ling-2.6-flash pricing, or run Llama 3.2 1B Instruct head-to-head against other models in the side-by-side comparison playground.
Pricing data via the OpenRouter models API.