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Llama 3.2 3B Instruct pricing and routing profile

Llama 3.2 3B Instruct from Meta lists at $0.05 per million input tokens and $0.33 per million output tokens, with a 131,072-token context window. Prices from OpenRouter's catalogue on 2026-09-28.

Input, per 1M tokens$0.05
Output, per 1M tokens$0.33
Context window131K
Confidence signalAvailable

Structured outputLog probabilities

Cost per 1,000 requests

Request shapeList cost
Classification or routing (600 tokens in, 10 out)$0.0333
Chat reply (2,000 in, 400 out)$0.232
Retrieval-augmented answer (8,000 in, 500 out)$0.565

Before prompt caching. Try your own shape in the cost calculator.

Can Gimbix route to it first?

Yes. At least one host return token log probabilities for Llama 3.2 3B Instruct, which is the confidence signal Gimbix uses to let a cheaper model answer first.

Cheaper models that can answer first

Models priced below Llama 3.2 3B Instruct that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.

ModelInput / output per 1MCheaper on a chat reply
DeepSeek V4 Flash 0731$0.021 / $0.3227%
Qwen3.7 Flash$0.03 / $0.1352%
Granite 4.0 Micro$0.017 / $0.11266%
gpt-oss-20b$0.018 / $0.0969%
Ling 3.0 Flash$0.021 / $0.06371%
Ling 3.0 Flash VL$0.021 / $0.061671%

Questions

How much does Llama 3.2 3B Instruct cost?

Llama 3.2 3B Instruct lists at $0.05 per million input tokens and $0.33 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 $0.232 per 1,000 requests.

What is the context window of Llama 3.2 3B Instruct?

131,072 tokens.

Can a cheaper model replace Llama 3.2 3B Instruct?

Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match Llama 3.2 3B Instruct on one half of your requests and make at most three answers worse on the other.