Meta: Llama 3 8B Instruct
Analysis Summary
Meta: Llama 3 8B Instruct sits in the Efficient tier on our leaderboard, ranked #269 of 544 published models on overall intelligence. At $0.030 input and $0.040 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 8B Instruct from Meta benchmarks at a low intelligence index of 6.4 with basic tool use, but its $0.03/$0.04 pricing makes it a viable option for simple, high-volume classification 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) launched with a variety of sizes & flavors. This 8B instruct-tuned version was optimized for high quality dialogue usecases. It has demonstrated strong..
Capabilities
Architecture Detail
| Instruct Type | llama3 |
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Meta: Llama 3 8B Instruct stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
meta-llama/llama-3-8b-instruct
|
| Provider | meta-llama |
| Model Family | Llama 3 |
| Release Date | April 18, 2024 |
| Context Length | 8,192 tokens |
| Max Completion | 16,384 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.03 | $0.000030 |
| Output | $0.04 | $0.000040 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 5, 2026 11:06 am