Meta: Llama 3.1 8B Instruct
Analysis Summary
Meta: Llama 3.1 8B Instruct sits in the Efficient tier on our leaderboard, ranked #252 of 544 published models on overall intelligence. At $0.020 input and $0.050 output per 1M tokens, it is among the most expensive on the market. It offers a compact context window and supports tool use and function calling.
Editorial notes
Llama 3.1 8B Instruct is an ultra-cheap open-weight model from Meta with tool use support, but limited reasoning and coding capability make it suitable only for lightweight tasks.
Assessed May 5, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
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 Detail
| Instruct Type | llama3 |
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.
