Meta: Llama 4 Maverick Rank
Llama 4 Maverick has an overall score of 58 out of 100, tied for rank 223 of 291. The published scores are price 76, context 62, parameters 31, and freshness 63. 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 223 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 63 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 62 | 524K tokens, output 16.4K | AI Context Window |
| Parameters | 31 | 17B total | AI Parameter Count |
| Price | 76 | $0.304 / 1M blended, $0.188 / 1M input, $0.652 / 1M output | AI Token Price |
222 listed models have a higher overall score. Among Meta models, it ranks 2 of 8.
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
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Frequently asked questions
What is the Llama 4 Maverick rank?
Llama 4 Maverick has an overall score of 58 out of 100, tied for rank 223 of 291. The published scores are price 76, context 62, parameters 31, and freshness 63. The overall score is their average. recency is not published and is left out of the average.
Where does Llama 4 Maverick rank?
Llama 4 Maverick is tied for rank 223 of 291. 222 listed models have a higher overall score. Among Meta models, it ranks 2 of 8.
What scores make up Llama 4 Maverick?
Llama 4 Maverick scores price 76 (AI Token Price), context 62 (AI Context Window), parameters 31 (AI Parameter Count), and freshness 63 (AI Knowledge Cutoff). The overall score of 58 is the average of those 4.