LFM2.5 230M
LFM2.5 230M is a released agents and json / tool use model with open-weight; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating agents and json / tool use
- Workloads that can use a 32k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Teams that need a tracked hosted API route today
- Family
- LFM-2.5
- Released
- 2026-06-25
- Context
- 32k
- Parameters
- 230M
- Architecture
- Decoder Only
- Knowledge cutoff
- 2024
- Specialization
- general
- Openness
- Open weights
- License
- LFM Open License v1.0Commercial use: conditional
- Weights
- Available
- Code
- Unknown
- Training
- Pretrained
No tracked provider token pricing is available yet.
About
LFM2.5-230M is Liquid AI's smallest model in the LFM2.5 family, released June 25, 2026. With 230 million parameters and a 32K-token context window, it is designed for fast on-device tool use and large-scale data extraction — not general reasoning. The hybrid architecture uses 14 layers: 8 double-gated LIV convolutional blocks and 6 grouped-query attention (GQA) blocks, trained on 19 trillion tokens with supervised fine-tuning distilled from LFM2.5-350M followed by DPO and multi-domain reinforcement learning. Achieves 213 tokens/second on Samsung Galaxy S25 Ultra CPU and 42 tokens/second on Raspberry Pi 5.
Top use-case fit: coding, agents, and build tasks
Agents
Included by capability and metadata signals in the decision map.
JSON / Tool use
Included by capability and metadata signals in the decision map.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
Benchmark peer barsfor Agents
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
No tracked provider token pricing is available yet.