Meta: Llama 3.1 8B Instruct Rank
Llama 3.1 8B Instruct has an overall score of 54 out of 100, tied for rank 250 of 291. The published scores are price 98, context 44, parameters 23, and freshness 51. The overall score is their average. recency is not published and is left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 250 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 51 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 44 | 131K tokens, output 118K | AI Context Window |
| Parameters | 23 | 8B total | AI Parameter Count |
| Price | 98 | $0.0575 / 1M blended, $0.05 / 1M input, $0.08 / 1M output | AI Token Price |
249 listed models have a higher overall score. Among Meta models, it ranks 5 of 8.
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...
Higher overall scores
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Frequently asked questions
What is the Llama 3.1 8B Instruct rank?
Llama 3.1 8B Instruct has an overall score of 54 out of 100, tied for rank 250 of 291. The published scores are price 98, context 44, parameters 23, and freshness 51. The overall score is their average. recency is not published and is left out of the average.
Where does Llama 3.1 8B Instruct rank?
Llama 3.1 8B Instruct is tied for rank 250 of 291. 249 listed models have a higher overall score. Among Meta models, it ranks 5 of 8.
What scores make up Llama 3.1 8B Instruct?
Llama 3.1 8B Instruct scores price 98 (AI Token Price), context 44 (AI Context Window), parameters 23 (AI Parameter Count), and freshness 51 (AI Knowledge Cutoff). The overall score of 54 is the average of those 4.