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.
API Pricing
Cheapest on Deep Infra — 85% below avg| Provider | Input / 1M | Output / 1M | Updated |
|---|---|---|---|
| $0.020 | $0.030 | 4/3/2026 | |
| $0.020 | $0.050 | 4/14/2026 | |
| $0.050 | $0.080 | 4/12/2026 | |
| $0.110 | $0.110 | 4/14/2026 | |
| $0.200 | $0.200 | 4/1/2026 | |
| $0.200 | $0.200 | 4/14/2026 | |
| $0.220 | $0.220 | 4/14/2026 | |
| $0.234 | $0.234 | 4/13/2026 |
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
About Llama 3.1 8B
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.