Meta: Llama 3 70B Instruct
Meta's Llama 3 70B Instruct delivers reasonable benchmark performance for its era with a very competitive price point, but its 8K context window is a significant limitation for business use. It has since been superseded by the Llama 3.1 and 3.2 series with much larger context windows.
Assessment date: March 14, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 70B instruct-tuned version was optimized for high quality dialogue usecases. It has demonstrated strong performance compared to leading closed-source models in human evaluations. Usage of this model is subject to Meta's Acceptable Use Policy.
Architecture
| Modality | Text → Text |
| Tokenizer | Llama3 |
| Instruct Type | llama3 |
| Parameters | 70B |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Evaluations
Benchmark data from Artificial Analysis and Hugging Face
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.51 | $0.000510 |
| Output | $0.74 | $0.000740 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
