Llama 3.1 70B hits an exceptional sweet spot between performance and cost. At under $0.40/1M tokens, it outperforms many more expensive models on coding and general tasks, and can be run on consumer hardware when quantized.
Pricing Breakdown
| Volume | Input Cost | Output Cost | Combined (50/50) |
|---|---|---|---|
| 1,000 tokens | $0.0003 | $0.0004 | $0.0004 |
| 10,000 tokens | $0.0035 | $0.0040 | $0.0038 |
| 100,000 tokens | $0.0350 | $0.0400 | $0.0375 |
| 1,000,000 tokens | $0.3500 | $0.4000 | $0.3750 |
Strengths
- ✓Excellent price-to-quality ratio
- ✓Open source and self-hostable
- ✓Good at coding and instruction following
- ✓128K context window
Weaknesses
- ✗Weaker than 405B on complex reasoning
- ✗Smaller context than some competitors
Compare Llama 3.1 70B With
Frequently Asked Questions
How much does Llama 3.1 70B cost?
Llama 3.1 70B costs $0.35/1M per 1M input tokens and $0.40/1M per 1M output tokens.
What is Llama 3.1 70B's context window?
Llama 3.1 70B 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 70B open source?
Yes, Llama 3.1 70B is open source. The model weights are publicly available and can be self-hosted.
What is Llama 3.1 70B best used for?
Llama 3.1 70B is best suited for: coding, low-cost, translation, customer-support. Excellent price-to-quality ratio.
What is Llama 3.1 70B's ELO score?
Llama 3.1 70B has an ELO score of 1247 on the LMSYS Chatbot Arena leaderboard, placing it in the mid-tier range.