Context Window
80,000
Tokens
Model Cost Profile
Developer: meta-llama
Pricing updated Mar 11, 2026
Live Pricing
Input: $0.0510
Output: $0.3400
Pricing via OpenRouter API · Last synced Mar 11, 2026 · MMLU score via public benchmark data
Meta: Llama 3.2 3B Instruct is designed for applications requiring extensive context handling, featuring a context window of 131,072 tokens, making it suitable for complex dialogue systems and detailed content generation. With a competitive pricing structure of $0.02 per million tokens for both input and output, it offers cost-effective solutions for teams looking to scale their AI capabilities without breaking the budget. This model is particularly beneficial for businesses in sectors like customer support and content creation, where nuanced understanding and extensive context are crucial for delivering high-quality interactions.
Context Window
80,000
Tokens
Input Price / 1M
$0.0510
Prompt tokens
Output Price / 1M
$0.3400
Completion tokens
Intelligence (MMLU)
34.7
Massive Multitask Language Understanding
Standardized evaluation scores for Meta: Llama 3.2 3B Instruct.
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0510 |
| Output (Completion) | $0.3400 |
Price History
Current Input / 1M
$0.0510
Current Output / 1M
$0.3400
Estimate monthly spend for Meta: Llama 3.2 3B Instruct based on your workload.
Estimated Monthly Cost
$5.36
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Meta: Llama 3.2 3B Instruct.
Meta: Llama 3.2 3B Instruct input pricing is $0.0510 per 1M tokens based on the latest synced provider data.
Meta: Llama 3.2 3B Instruct output pricing is $0.3400 per 1M tokens based on the latest synced provider data.
Meta: Llama 3.2 3B Instruct supports a context window of 80,000 tokens.
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.