# LFM2 24B A2B Usage, Cost & Rank | OpenCode Data

Efficient open Liquid MoE instruct model for on-device chat and tool calling

- Page: https://opencode.ai/data/liquid/lfm2-24b-a2b
- JSON: https://opencode.ai/data/liquid/lfm2-24b-a2b.json
- Model ID: liquid/lfm2-24b-a2b
- Lab: Liquid

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 33K |
| Max output | 33K |
| Knowledge cutoff | - |
| Release date | 2026-02-24 |
| Input modalities | text |
| Output modalities | text |
| Reasoning | No |
| Tool calling | Yes |
| Open weights | Yes |
| Weights | [Hugging Face](https://huggingface.co/LiquidAI/LFM2-24B-A2B) |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.