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.
Leaderboard Categories
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 15, 2026 8:53 pm