Liquid AI
LFM2.5 2.6B
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...
Model facts
- Context window
- 128K tokens
- Maximum output
- 33K tokens
- Cheapest paid input
- $0.1 per 1M tokens
- Cheapest paid output
- $0.2 per 1M tokens
- Open weights
- yes
- Providers
- 2
Capabilities and modalities
reasoning, tool calling, structured output, temperature control, open weights, text.
Local hardware estimate
At 4K context: Q4_K_M 2.6 GiB, Q8_0 3.9 GiB, F16 6.2 GiB working memory.
- Parameters
- 2.7 billion
- Architecture
- lfm2
- Model license
- other
Planning estimate adapted from the MIT-licensed whichllm estimator using metadata from Hugging Face; not a vendor minimum requirement.
Artificial Analysis benchmarks
Compare this model on the full LLM benchmark leaderboard.
| Configuration | AAI | Coding | Math | Output tokens/s |
|---|---|---|---|---|
| default | 11.0 | 7.7 | not measured | 1914.3 |
Observed price history
- 2026-08-24: $0.1 input / $0.2 output per 1M tokens
API providers
- OpenRouter — model id liquid/lfm-2.5-2.6b:free; free input / free output per 1M tokens; provider documentation
- NanoGPT — model id liquid/lfm-2.5-2.6b; $0.1 input / $0.2 output per 1M tokens; provider documentation