Meta: Llama 3.2 3B Instruct Rank
Llama 3.2 3B Instruct has an overall score of 49 out of 100, tied for rank 272 of 291. The published scores are price 88, context 44, parameters 12, 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 272 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 51 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 44 | 131K tokens, output 72K | AI Context Window |
| Parameters | 12 | 3B total | AI Parameter Count |
| Price | 88 | $0.122 / 1M blended, $0.0509 / 1M input, $0.335 / 1M output | AI Token Price |
271 listed models have a higher overall score. Among Meta models, it ranks 7 of 8.
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
Higher overall scores
🤖 Generate website with AI 👆
Join the beta waitlist and get 50% off your first 3 months.
Frequently asked questions
What is the Llama 3.2 3B Instruct rank?
Llama 3.2 3B Instruct has an overall score of 49 out of 100, tied for rank 272 of 291. The published scores are price 88, context 44, parameters 12, and freshness 51. The overall score is their average. recency is not published and is left out of the average.
Where does Llama 3.2 3B Instruct rank?
Llama 3.2 3B Instruct is tied for rank 272 of 291. 271 listed models have a higher overall score. Among Meta models, it ranks 7 of 8.
What scores make up Llama 3.2 3B Instruct?
Llama 3.2 3B Instruct scores price 88 (AI Token Price), context 44 (AI Context Window), parameters 12 (AI Parameter Count), and freshness 51 (AI Knowledge Cutoff). The overall score of 49 is the average of those 4.