Meta: Llama 3.1 8B Instruct
Meta: Llama 3.1 8B Instruct at $0.06/1M tokens blended - and ranks #66 of 291 by average real OpenRouter usage share over the trailing 35-day window (0.19%).
- Quality (Intelligence Index) - -
- Coding index - -
- Agentic index - -
- Price (blended $/1M) - 0.06
- Context window - 131,072
- Usage rank - #66 of 291
- Providers - 0
- Open/closed - open
Usage share over time
| # | Model | Share of usage |
|---|---|---|
| 01 | Usage share | 0.19% |
Daily tracking began Jul 5- this becomes a live chart once there's a third day to plot.
What Meta: Llama 3.1 8B Instruct is actually used for
Share of each real task category's classified traffic this model handles, from OpenRouter's task classification.
| Task | Share of task traffic |
|---|---|
| Translation | 4.1% |
| Data Extraction | 3.6% |
| Math | 2.3% |
Frequently asked questions
What is Meta: Llama 3.1 8B Instruct's quality score?
Meta: Llama 3.1 8B Instruct does not yet have a published Artificial Analysis benchmark score.
How much does Meta: Llama 3.1 8B Instruct cost?
Meta: Llama 3.1 8B Instruct costs $0.06 per 1M tokens (blended 75% prompt / 25% completion pricing).
Is Meta: Llama 3.1 8B Instruct widely used?
Meta: Llama 3.1 8B Instruct ranks #66 of 291 models by average real OpenRouter usage share, averaging 0.19% of classified token volume over the trailing 35-day window.
Is Meta: Llama 3.1 8B Instruct open-weight or closed?
Meta: Llama 3.1 8B Instruct is an open-weight model.
Source: OpenRouter (openrouter.ai/rankings), as of August 9, 2026.
Benchmark scores: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).
Methodology: smophy.ai/benchmark/methodology
Token counts originate from each provider's own tokenizer and are not directly comparable across providers.