LFM2.5-8B-A1B — AI Model Review & Pricing
Liquid AI releases LFM2.5-8B-A1B, an on-device mixture-of-experts model with 8B total parameters and 1B active, trained on 38T tokens with RL post-training. Optimized for fast tool calling and instruction following on consumer hardware with a 128K context window.
Specifications
| Attribute | Value |
|---|---|
| Lab | Liquid AI |
| Tags | Intelligent Open Weight |
| Release Date | 2026-05 |
| Context Window | 128,000 tokens |
| Input Price / 1M | $0.00 |
| Output Price / 1M | $0.00 |
| Input Modalities | Text |
| Output Modalities | Text |
Strengths
- Extremely efficient on-device inference with only 1B active parameters
- Strong tool calling and instruction following (IFEval 91.84, BFCLv3 64.36)
- Doubled vocabulary (128K) with significant multilingual tokenization improvements
- Day-one support for llama.cpp, MLX, vLLM, and SGLang
- Competitive with much larger dense and MoE models on agentic tasks
Weaknesses
- Limited reasoning depth (AIME25: 42.53) compared to frontier models
- Small active parameter count limits complex multi-step reasoning
- Not yet available on major API providers like OpenRouter
Best For
- On-device AI assistants and personal agents
- Tool-calling workflows on consumer hardware
- Multilingual applications with non-Latin scripts
- Edge deployment where latency and efficiency matter most
In Depth: LFM2.5-8B-A1B
Summary
LFM2.5-8B-A1B is an AI model from Liquid AI ranked #96 of 124 on the LMRank leaderboard.
Released 2026-05. It currently appears in the Overall category on LMRank and 1 other category. It supports Text input and produces Text output, with a context window of 128,000 tokens. Input pricing is $0.00 per 1M tokens and output is $0.00 per 1M tokens on OpenRouter.