Model Cost Profile

Meta: Llama 3 8B Instruct

Developer: meta-llama

Pricing updated Mar 10, 2026

Input rank: #38Output rank: #30

Live Pricing

Input: $0.0300

Output: $0.0400

Pricing via OpenRouter API ยท Last synced Mar 10, 2026

Meta: Llama 3 8B Instruct is designed for applications requiring nuanced instruction understanding, making it ideal for customer support automation and personalized content generation. With a context window of 8192 tokens, this model can effectively handle extensive dialogues, enhancing user interaction in complex scenarios. Teams utilizing this API can expect a cost of $0.03 per million input tokens and $0.04 per million output tokens, allowing for scalable budgeting based on usage.

๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output

Context Window

8,192

Tokens

Input Price / 1M

$0.0300

Prompt tokens

Output Price / 1M

$0.0400

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Meta: Llama 3 8B Instruct Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 10
$0.0300$0.0350$0.0400Mar 7Mar 8Mar 9Mar 10

Current Input / 1M

$0.0300

Current Output / 1M

$0.0400

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FAQ

Common pricing and benchmark questions for Meta: Llama 3 8B Instruct.

How much does Meta: Llama 3 8B Instruct cost per 1M input tokens?

Meta: Llama 3 8B Instruct input pricing is $0.0300 per 1M tokens based on the latest synced provider data.

How much does Meta: Llama 3 8B Instruct cost per 1M output tokens?

Meta: Llama 3 8B Instruct output pricing is $0.0400 per 1M tokens based on the latest synced provider data.

What context window does Meta: Llama 3 8B Instruct support?

Meta: Llama 3 8B Instruct supports a context window of 8,192 tokens.

How can I compare Meta: Llama 3 8B Instruct 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.