Llama 3.2 3B is Meta's lightweight open-source model optimized for efficient deployment with tool calling support and 128K token context window.
| Provider | Input / 1M | Output / 1M |
|---|---|---|
| $0.050 | $0.330 | |
| $0.060 | $0.060 | |
| $0.150 | $0.150 |
Prices updated daily. Last check: Sep 6, 2026
Input, output, and batch rates, plus alternatives, for one provider at a time.
Benchmarks measured Sep 2026. Scores are independent evaluations, not vendor-reported.
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.
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.
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.
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.