Partially Verified65% confidenceReleaseExact time
Liquid AI released the open-weight model LFM2.5-24B-A2B, which uses a mixture-of-experts (MoE) architecture with a total parameter count of 24B, activating only 2B parameters per inference, targeting on-device agent scenarios.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
10/14/2026
First Seen
Valid until: 1/12/2027
Sources
Related Entities
Related Claims
UnverifiedLiquid AI released a new generation of open-weight action models, including an approximately 3B parameter version and an Omni 600M version.78% similarUnverifiedLiquid AI released two open-weight models called decision models, belonging to the d1 series.75% similarVerifiedLiquid AI has expanded its D1 decision model with visual capabilities, enabling it to accept images, text, or both, and return probabilities for yes/no judgments, multiple-choice, or scoring questions.72% similarUnverifiedFor teams already using Vercel AI Gateway, swapping in the Muse Wonder model ID, the Claude evals/hillclimb commands, and Liquid AI d1 for boolean or scored classification are low-friction changes that can be adopted directly.69% similarUnverifiedAI-Q采用四阶段深度研究流水线:意图分流、分层研究、混合模型路由、闭环验证输出68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1024884API
curl https://kongchang.com/api/v1/knowledge/claims/1024884MCP
get_claim(id=1024884)