Llama 3.1 8B Instruct

meta-llama/llama-3.1-8b-instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...

InputText
OutputText
Input / Outputclub$0.16112 / $0.30422per 1M tokens · USD
Context window131.1Ktoken
Maximum output118Ktoken

Pricing

Current model usage rates. Choose your plan to see its published prices.

Pricing
UsagePricing
InputUS$0.16112/ 1M token
OutputUS$0.30422/ 1M token

Membership and model usage are billed separately. Compare plans

Capabilities

Input
Text
Output
Text
Context window
131,072 token
Maximum output
117,964 token

Providers

Model supply available through Vecbase.

Via OpenRouter

Access is subject to your account’s permissions and model availability.

Frequently asked questions

What is Llama 3.1 8B Instruct, and who develops it?

Llama 3.1 8B Instruct is a model from meta-llama. Its model ID on Vecbase is meta-llama/llama-3.1-8b-instruct. Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...

How much does Llama 3.1 8B Instruct cost on Vecbase?

For Llama 3.1 8B Instruct, the Club plan lists USD 0.16112 per 1 million input tokens and USD 0.30422 per 1 million output tokens, as of 10/22/2026, 10:18:04 PM UTC. See the pricing table for cache rates, input-length tiers and other usage types. Membership fees are separate.

How many tokens fit in Llama 3.1 8B Instruct’s context window?

Llama 3.1 8B Instruct has a context window of 131,072 tokens. Input and output must fit within the limits of the API you use.

What is the maximum output length for Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct can generate up to 117,964 tokens per response. Your API or request settings may set a lower limit.

Can Llama 3.1 8B Instruct call tools in an agent workflow?

Yes. Llama 3.1 8B Instruct supports tool calling. Your application provides the tool definitions and runs the tools the model requests.

Does Llama 3.1 8B Instruct support structured outputs?

Yes. Llama 3.1 8B Instruct supports structured output. Set the required format in your API request and check the returned data before using it.

Which input and output formats does Llama 3.1 8B Instruct support?

Llama 3.1 8B Instruct accepts Text and produces Text.

Which providers make Llama 3.1 8B Instruct available through Vecbase?

Vecbase offers Llama 3.1 8B Instruct through OpenRouter. Availability may vary by provider.

Which model ID should an agent use to request Llama 3.1 8B Instruct?

Use meta-llama/llama-3.1-8b-instruct as the model identifier for Llama 3.1 8B Instruct. See Vecbase’s API documentation for authentication, required inputs and supported request formats.

What does an agent need to access Llama 3.1 8B Instruct through Vecbase?

To use Llama 3.1 8B Instruct, you need an authenticated account with the required permissions, sufficient balance and the relevant capability enabled. See the documentation for setup.

Is a release date available for Llama 3.1 8B Instruct?

We do not yet have a confirmed release date for Llama 3.1 8B Instruct.

Which models can I compare with Llama 3.1 8B Instruct on Vecbase?

You can compare Llama 3.1 8B Instruct with Vecbase Flash (vecbase-1.0-lite), Vecbase (vecbase-1.0), and Claude Haiku Latest (anthropic/claude-haiku-latest). Check their capabilities and prices to find the best fit for your task.