LightweightOpen SourceMeta

Llama 3.1 8B

Llama 3.1 8B is Meta's lightweight open-source model with tool calling support and a 128K token context window, designed for efficient inference.

Context 128K
Tier Lightweight
Knowledge Dec 2023
Tools Supported
License Open Source
Input from
$0.020 / 1M tokens
across 7 providers

API Pricing

Cheapest on Deep Infra 85% below avg
ProviderInput / 1MOutput / 1MUpdated
$0.020$0.0304/3/2026
$0.020$0.0504/14/2026
$0.050$0.0804/12/2026
$0.110$0.1104/14/2026
$0.200$0.2004/1/2026
$0.200$0.2004/14/2026
$0.220$0.2204/14/2026
$0.234$0.2344/13/2026

Prices updated daily. Last check: 4/14/2026

Model Details

General

Creator
Meta
Family
Llama
Tier
Lightweight
Context Window
128K
Knowledge Cutoff
Dec 2023
Modalities
Text

Capabilities

Tool Calling
Yes
Open Source
Yes
Subtypes
Chat Completion

Strengths & Limitations

  • Open-source model with full transparency and customization capabilities
  • 128K token context window for processing large documents
  • Tool calling support with structured function execution
  • Efficient 8B parameter design for faster inference
  • December 2023 knowledge cutoff provides recent training data
  • No vendor lock-in due to open-source licensing
  • Lower computational requirements than larger models in family
  • Text-only modality with no image or multimodal support
  • Smaller parameter count limits complex reasoning compared to frontier models
  • Requires technical expertise to deploy and manage for self-hosting
  • Limited compared to larger Llama 3.1 variants (70B, 405B)
  • May struggle with highly specialized or complex tasks

Key Features

128K token context window
Tool calling with function execution
Open-source model weights and architecture
Text-based chat completion
Streaming response support
8 billion parameter efficient design
December 2023 knowledge cutoff
Self-hosting deployment options

About Llama 3.1 8B

Llama 3.1 8B is Meta's lightweight model in the Llama family, positioned as an efficient alternative to larger models while maintaining strong capabilities. As an open-source model, it provides transparency and customization options not available with proprietary alternatives. The model supports text-based chat completion tasks and includes tool calling functionality. The model features a 128K token context window, allowing it to process substantial amounts of text in a single request. It supports tool calling, enabling integration with external functions and APIs. With its 8 billion parameter count, it offers a balance between capability and computational efficiency. The model's knowledge cutoff is December 2023, providing relatively current training data. Llama 3.1 8B serves applications requiring cost-effective inference while maintaining reasonable performance. Its open-source nature makes it suitable for organizations needing model transparency, custom fine-tuning, or on-premises deployment. The model competes with other lightweight options in scenarios where the full capability of larger frontier models is not required.

Common Use Cases

Llama 3.1 8B is well-suited for applications requiring efficient, cost-effective text processing with moderate complexity requirements. Its lightweight design makes it ideal for high-volume tasks like content moderation, basic customer support, text classification, and simple automation workflows. The tool calling capability enables integration with business systems and APIs for automated data processing. Organizations prioritizing data privacy, model transparency, or custom fine-tuning benefit from its open-source nature. The 128K context window supports document analysis, summarization, and multi-turn conversations without the computational overhead of larger models.

Frequently Asked Questions

How much does Llama 3.1 8B cost per million tokens?

Llama 3.1 8B pricing varies significantly by provider, with different rates for hosted API access versus self-hosting costs. As an open-source model, you can also deploy it yourself. Check the pricing table above for current rates across all providers offering hosted access.

What is Llama 3.1 8B best used for?

Llama 3.1 8B excels at high-volume text processing tasks where efficiency matters more than maximum capability. This includes content moderation, customer support automation, text classification, document summarization, and simple tool-calling workflows. Its open-source nature also makes it ideal for custom fine-tuning and organizations requiring model transparency.

How does Llama 3.1 8B compare to the larger Llama 3.1 models?

Llama 3.1 8B trades some reasoning capability for significantly faster inference and lower costs compared to the 70B and 405B variants. All share the same 128K context window and tool calling features, but the larger models handle complex reasoning, coding, and specialized tasks better. The 8B model is optimized for efficiency rather than maximum performance.