LiquidAI: LFM2.5-2.6B Rank
LFM2.5-2.6B has an overall score of 56 out of 100, tied for rank 235 of 291. The published scores are price 73, context 44, parameters 10, and recency 96. 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 235 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 96 | AI Release Date | |
| Context | 44 | 128K tokens, output 8.2K | AI Context Window |
| Parameters | 10 | 2.6B total | AI Parameter Count |
| Price | 73 | $0.387 / 1M blended, $0.35 / 1M input, $0.5 / 1M output | AI Token Price |
234 listed models have a higher overall score. Among LiquidAI models, it ranks 2 of 2.
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
Higher overall scores
Other LiquidAI models
🤖 Generate website with AI 👆
Join the beta waitlist and get 50% off your first 3 months.
Frequently asked questions
What is the LFM2.5-2.6B rank?
LFM2.5-2.6B has an overall score of 56 out of 100, tied for rank 235 of 291. The published scores are price 73, context 44, parameters 10, and recency 96. The overall score is their average. freshness is not published and is left out of the average.
Where does LFM2.5-2.6B rank?
LFM2.5-2.6B is tied for rank 235 of 291. 234 listed models have a higher overall score. Among LiquidAI models, it ranks 2 of 2.
What scores make up LFM2.5-2.6B?
LFM2.5-2.6B scores price 73 (AI Token Price), context 44 (AI Context Window), parameters 10 (AI Parameter Count), and recency 96 (AI Release Date). The overall score of 56 is the average of those 4.