LFM2.5-2.6B

Released
2026-08-04
Last refreshed
2026-10-05
Status
Researched 1d ago
Open weightsCommercial use: conditionalRAGAgentsLong contextJSON / Tool use

LFM2.5-2.6B is available now for rag, agents, and long context with open-weight and 131k context; evaluate it while provider pricing coverage matures.

Liquid AI releases · 7 in the last 12 months · this family litChangelog →
Specifications
Family
LFM-2.5
Released
2026-08-04
Context
131k
Parameters
2.69B
Architecture
Decoder Only
Specialization
general
Openness
Open weights
License
LFM Open License v1.0Commercial use: conditional
Weights
Available
Code
Unknown
Training
Multi-stage
Created by

Adaptive and efficient AI models

Cambridge, MA, United States
Founded 2023
Website
Pricing

No tracked provider token pricing is available yet.

About

Liquid AI LFM2.5-2.6B is a 2.69B-parameter hybrid (LFM2 architecture) on-device model with 131,072-token context and agentic post-training. It is a pure reasoning model that always emits a <think> block, and it writes Pythonic function calls between tool-call tokens. It covers 16 languages. Liquid recommends it for agents, tool use, data extraction, RAG and long-context work, but not for agentic coding or knowledge-heavy tasks. Released 4 August 2026 under the LFM Open License v1.0, with GGUF and DSpark variants.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

ReasoningJSON / Tool use

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

API versions

LiquidAI/LFM2.5-2.6B