Llama 3.2 1B Instruct pricing and routing profile
Llama 3.2 1B Instruct from Meta lists at $0.027 per million input tokens and $0.201 per million output tokens, with a 60,000-token context window. Prices from OpenRouter's catalogue on 2026-09-28.
Cost per 1,000 requests
| Request shape | List cost |
|---|---|
| Classification or routing (600 tokens in, 10 out) | $0.0182 |
| Chat reply (2,000 in, 400 out) | $0.134 |
| Retrieval-augmented answer (8,000 in, 500 out) | $0.317 |
Before prompt caching. Try your own shape in the cost calculator.
Can Gimbix route to it first?
Not as a first-answer model through OpenRouter: no host returns token log probabilities for Llama 3.2 1B Instruct. It can still be the model Gimbix falls back to when a cheaper model is unsure.
Cheaper models that can answer first
Models priced below Llama 3.2 1B Instruct that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.
| Model | Input / output per 1M | Cheaper on a chat reply |
|---|---|---|
| Granite 4.0 Micro | $0.017 / $0.112 | 41% |
| gpt-oss-20b | $0.018 / $0.09 | 46% |
| Ling 3.0 Flash | $0.021 / $0.063 | 50% |
| Ling 3.0 Flash VL | $0.021 / $0.0616 | 50% |
| Mistral Nemo | $0.019 / $0.03 | 63% |
Questions
How much does Llama 3.2 1B Instruct cost?
Llama 3.2 1B Instruct lists at $0.027 per million input tokens and $0.201 per million output tokens on OpenRouter as of 2026-09-28. A typical chat reply of 2,000 input and 400 output tokens costs about $0.134 per 1,000 requests.
What is the context window of Llama 3.2 1B Instruct?
60,000 tokens.
Can a cheaper model replace Llama 3.2 1B Instruct?
Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match Llama 3.2 1B Instruct on one half of your requests and make at most three answers worse on the other.