LiquidAI: LFM2.5-24B-A2B Rank
LFM2.5-24B-A2B has an overall score of 59 out of 100, tied for rank 217 of 291. The published scores are price 81, context 44, parameters 10, and recency 99. The overall score is their average. freshness 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 217 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 99 | AI Release Date | |
| Context | 44 | 128K tokens, output 8.2K | AI Context Window |
| Parameters | 10 | 2.45B active | AI Parameter Count |
| Price | 81 | $0.212 / 1M blended, $0.05 / 1M input, $0.7 / 1M output | AI Token Price |
216 listed models have a higher overall score. Among LiquidAI models, it ranks 1 of 2.
LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...
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Frequently asked questions
What is the LFM2.5-24B-A2B rank?
LFM2.5-24B-A2B has an overall score of 59 out of 100, tied for rank 217 of 291. The published scores are price 81, context 44, parameters 10, and recency 99. The overall score is their average. freshness is not published and is left out of the average.
Where does LFM2.5-24B-A2B rank?
LFM2.5-24B-A2B is tied for rank 217 of 291. 216 listed models have a higher overall score. Among LiquidAI models, it ranks 1 of 2.
What scores make up LFM2.5-24B-A2B?
LFM2.5-24B-A2B scores price 81 (AI Token Price), context 44 (AI Context Window), parameters 10 (AI Parameter Count), and recency 99 (AI Release Date). The overall score of 59 is the average of those 4.