Model Cost Profile

Meta: Llama 3.2 3B Instruct (free)

Developer: meta-llama

Pricing updated Mar 11, 2026

Input rank: #10Output rank: #10

Live Pricing

Input: $0.0000

Output: $0.0000

Pricing via OpenRouter API · Last synced Mar 11, 2026

Meta: Llama 3.2 3B Instruct is a versatile API model designed for tasks such as natural language understanding, text generation, and conversational AI, making it suitable for developers and businesses looking to enhance user interactions. With an extensive context window of 131,072 tokens, this model can handle large documents and complex queries, providing a robust solution for applications requiring deep contextual comprehension. As a free option, it eliminates input and output costs, allowing teams to explore advanced AI capabilities without financial constraints, making it an ideal choice for startups and research projects.

Context Window

131,072

Tokens

Input Price / 1M

$0.0000

Prompt tokens

Output Price / 1M

$0.0000

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Meta: Llama 3.2 3B Instruct (free) Pricing Trend

Input / 1M tokensOutput / 1M tokens
Mar 7Mar 11
$0.000000$0.000000$0.000000Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.000000

Current Output / 1M

$0.000000

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Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Meta: Llama 3.2 3B Instruct (free).

How much does Meta: Llama 3.2 3B Instruct (free) cost per 1M input tokens?

Meta: Llama 3.2 3B Instruct (free) input pricing is $0.0000 per 1M tokens based on the latest synced provider data.

How much does Meta: Llama 3.2 3B Instruct (free) cost per 1M output tokens?

Meta: Llama 3.2 3B Instruct (free) output pricing is $0.0000 per 1M tokens based on the latest synced provider data.

What context window does Meta: Llama 3.2 3B Instruct (free) support?

Meta: Llama 3.2 3B Instruct (free) supports a context window of 131,072 tokens.

How can I compare Meta: Llama 3.2 3B Instruct (free) with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.