Llama 3.1 8B is one of the best small models available, capable of running on a single consumer GPU. It's free to use via Groq's API and can handle straightforward classification, translation, and simple Q&A tasks effectively.
Pricing Breakdown
| Volume | Input Cost | Output Cost | Combined (50/50) |
|---|---|---|---|
| 1,000 tokens | $0.0001 | $0.0001 | $0.0001 |
| 10,000 tokens | $0.0006 | $0.0006 | $0.0006 |
| 100,000 tokens | $0.0055 | $0.0055 | $0.0055 |
| 1,000,000 tokens | $0.0550 | $0.0550 | $0.0550 |
Strengths
- ✓Essentially free to run via Groq or local deployment
- ✓Open source — full data privacy
- ✓Fast inference on commodity hardware
- ✓128K context window for an 8B model
Weaknesses
- ✗Noticeably weaker on complex tasks
- ✗Not suitable for nuanced reasoning or analysis
Frequently Asked Questions
How much does Llama 3.1 8B cost?
Llama 3.1 8B costs $0.06/1M per 1M input tokens and $0.06/1M per 1M output tokens. It is available for free.
What is Llama 3.1 8B's context window?
Llama 3.1 8B has a context window of 131K tokens, which means it can process up to 131,072 tokens in a single request.
Is Llama 3.1 8B open source?
Yes, Llama 3.1 8B is open source. The model weights are publicly available and can be self-hosted.
What is Llama 3.1 8B best used for?
Llama 3.1 8B is best suited for: fast-response, low-cost, translation, customer-support. Essentially free to run via Groq or local deployment.
What is Llama 3.1 8B's ELO score?
Llama 3.1 8B has an ELO score of 1176 on the LMSYS Chatbot Arena leaderboard, placing it in the mid-tier range.