Meta: Llama 3.1 8B Instruct
Meta's Llama 3.1 8B Instruct is an extremely affordable open-weight model with tool use, function calling, and reasonable instruction-following capability, making it a cost-effective option for lightweight SEO and content tasks, though its reasoning and coding performance are limited.
Assessment date: April 4, 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
Performance Profile
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..
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | Llama3 |
| Instruct Type | llama3 |
| Parameters | 8B |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Meta: Llama 3.1 8B Instruct stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
meta-llama/llama-3.1-8b-instruct
|
| Provider | meta-llama |
| Model Family | Llama 3 |
| Release Date | July 23, 2024 |
| Context Length | 16,384 tokens |
| Max Completion | 16,384 tokens |
| Status | Active |
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.
