by Meta · Open Source · Llama 3.1 405B / 70B / 8B
Scores reflect the 405B parameter model self-hosted. The 8B model scores lower on writing and reasoning but runs on consumer hardware.
Build AI applications and APIs using Llama 3.1 without per-token API costs. Fine-tune on your own data. Integrate into products freely.
When data cannot leave your environment due to compliance, legal, or personal reasons, running Llama locally means nothing is ever sent to an external server.
Fine-tune Llama 3.1 on company-specific data, documents, or workflows. Unlike closed-source models, you control the weights and the deployment.
The simplest option. Meta's own chat interface runs Llama 3.1 in the browser with no installation. Free with a Meta account. Available in Singapore.
Free API access to Llama 3.1 with extremely fast inference. Best for developers. Free tier has rate limits but is generous enough for most projects.
Browser-based demos and free inference endpoints for Llama models. Good for testing without any local setup or account on another platform.
Download and run Llama 3.1 locally using Ollama. Works on Mac, Windows, and Linux. The 8B model runs on consumer hardware. Fully private, unlimited, zero cost after setup.
Requires technical setup to self-host. Running Llama locally requires command-line comfort, appropriate hardware (ideally a GPU), and some configuration. Not suitable for non-technical users who want a simple chat interface.
Smaller models (8B) are noticeably weaker. The 8B version runs on consumer hardware but produces lower quality output than GPT-4o or Claude Sonnet 4.6. The 405B model is competitive but requires serious compute to run locally.
No built-in web search or multimodal input. The base Llama 3.1 model handles text only. Adding web search or image input requires additional integrations or wrappers that take technical effort to configure.
Cloud access removes the technical barrier. If self-hosting is too complex, Meta AI and Groq both offer free browser and API access to Llama 3.1 with zero setup required.
| Feature | Llama 3.1 | ChatGPT (Free) |
|---|---|---|
| Cost | $0 (open source) | Free tier available |
| Context window | 128K tokens | 128K tokens |
| Privacy | 100% local possible | OpenAI cloud |
| Image generation | No | GPT Image 2 (limited) |
| Fine-tuning | Yes, open weights | No |
| Setup required | Technical for local | None |
| Output quality | Good (405B), moderate (8B) | Excellent |
Llama 3.1 is the right choice for three clear use cases: developers building AI-powered products who need control and zero API costs; privacy-conscious users or businesses who cannot send data to external servers; and technical users who want to customise and fine-tune a model on their own data.
For general chat, writing, and everyday tasks without technical setup, ChatGPT, Claude, or Gemini remain the more accessible free options. Llama 3.1's advantage is freedom, not simplicity.