Meta: Llama 3.1 8B Instruct
Llama 3.1 8B Instruct from Meta is a lightweight, very affordable open-weight model with tool use, function calling, and reasonable benchmark scores for its size; it is best suited to high-volume, cost-sensitive tasks where raw capability is less critical.
Assessment date: March 12, 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 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. 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.
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | Llama3 |
| Instruct Type | llama3 |
| Parameters | 8B |
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 | $0.02 | $0.000020 |
| Output | $0.05 | $0.000050 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
