Question 1

What is the cost of Llama 3.1 8B Instruct by OpenRouter?

Accepted Answer

Llama 3.1 8B Instruct by OpenRouter costs $0.05 per 1M input tokens and $0.08 per 1M output tokens. Cached reads cost $0.03 per 1M tokens.

Question 2

What is the context window of Llama 3.1 8B Instruct by OpenRouter?

Accepted Answer

Llama 3.1 8B Instruct by OpenRouter has a context window of 131K tokens. It supports up to 131K input tokens and can generate up to 131K output tokens.

Question 3

What are the capabilities of Llama 3.1 8B Instruct by OpenRouter?

Accepted Answer

Llama 3.1 8B Instruct by OpenRouter supports tool calling/function calling, structured output, adjustable temperature. It has open weights.

Question 4

What input and output types does Llama 3.1 8B Instruct support?

Accepted Answer

Llama 3.1 8B Instruct by OpenRouter accepts text as input and can generate text as output.

Question 5

Is Llama 3.1 8B Instruct by OpenRouter open source?

Accepted Answer

Yes, Llama 3.1 8B Instruct by OpenRouter has open weights, meaning the model weights are publicly available for download and self-hosting.

Question 6

Does Llama 3.1 8B Instruct support function calling?

Accepted Answer

Yes, Llama 3.1 8B Instruct by OpenRouter supports tool calling (also known as function calling), allowing it to interact with external tools and APIs during conversations.

Question 7

What is the knowledge cutoff date for Llama 3.1 8B Instruct?

Accepted Answer

Llama 3.1 8B Instruct by OpenRouter has a knowledge cutoff date of 2023-12-31. This means the model was trained on data available up until that date.

Llama 3.1 8B Instruct API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)

Llama 3.1 8B Instruct API

Input Modalities

Output Modalities

Standard (per 1M tokens)

Caching (per 1M tokens)