Llama 3.2 3B
Llama 3.2 3B is Meta's lightweight open-source model optimized for efficient deployment with tool calling support and 128K token context window.
API Pricing
Cheapest on OpenRouter — 49% below avg| Provider | Input / 1M | Output / 1M | Updated |
|---|---|---|---|
| $0.051 | $0.340 | 4/14/2026 | |
| $0.150 | $0.150 | 4/14/2026 |
Prices updated daily. Last check: 4/14/2026
Model Details
General
- Creator
- Meta
- Family
- Llama
- Tier
- Lightweight
- Context Window
- 128K
- Modalities
- Text
Capabilities
- Tool Calling
- Yes
- Open Source
- Yes
- Subtypes
- Chat Completion
Strengths & Limitations
- Open-source with full model weights available for custom deployment
- 128K token context window for processing long documents
- Tool calling support enables API integrations and function execution
- Compact 3B parameter size allows efficient inference on modest hardware
- Part of Meta's actively maintained Llama ecosystem
- Suitable for edge deployment and resource-constrained environments
- Lower computational requirements reduce operational costs
- Limited reasoning capabilities compared to larger models in the family
- Text-only modality with no image or multimodal support
- Smaller parameter count may impact performance on complex tasks
- May require fine-tuning for specialized domain applications
Key Features
About Llama 3.2 3B
Common Use Cases
Llama 3.2 3B is well-suited for applications prioritizing speed and efficiency over maximum capability, including real-time chat systems, content moderation at scale, document summarization, and API-powered assistants with tool calling requirements. Its lightweight nature makes it ideal for edge computing scenarios, mobile applications, and high-throughput processing where response latency matters more than complex reasoning. The open-source availability also makes it valuable for organizations requiring on-premises deployment or custom fine-tuning for specific domains.
Frequently Asked Questions
How much does Llama 3.2 3B cost per million tokens?
Llama 3.2 3B pricing varies significantly by provider and deployment method. Since it's open-source, you can also self-host to avoid per-token charges entirely. Check the pricing table above for current rates across all providers.
What is Llama 3.2 3B best used for?
Llama 3.2 3B excels at applications requiring fast, efficient text processing with tool calling capabilities. It's ideal for real-time chat, content moderation, document summarization, and scenarios where response speed and cost efficiency matter more than advanced reasoning capabilities.
How does Llama 3.2 3B compare to larger Llama models?
Llama 3.2 3B trades reasoning capability for speed and efficiency compared to larger models in the family. While it has the same 128K context window and tool calling support, its 3B parameter size means faster inference and lower costs but reduced performance on complex reasoning tasks.