$ diff lfm2-5-24b-a2b longcat-2-0
LFM2.5-24B-A2B vs LongCat-2.0
Values come from LFM2.5-24B-A2B and LongCat-2.0, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.
Liquid AILFM2.5-24B-A2B
- context
- 131K
- weights
- —
- $/M in
- $0.1
- $/M out
- $1
- context
- 1M
- weights
- open
- $/M in
- $0.3
- $/M out
- $1.2
What actually differs
- Context window
- LongCat-2.0 takes 1M against 131K — 7.6× more room in a single request.
- Input price
- LFM2.5-24B-A2B at $0.1/M against $0.3/M — 3.0× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
- Output price
- LFM2.5-24B-A2B at $1/M against $1.2/M — 1.2× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Recency
- LFM2.5-24B-A2B shipped 105 days after LongCat-2.0 (2026-10-13 vs 2026-06-30).
Full spec
| Attribute | LFM2.5-24B-A2B | LongCat-2.0 |
|---|---|---|
| Developer | Liquid AI | Meituan |
| Released | 2026-10-13 | 2026-06-30 |
| Context window | 131,072 tokens | 1 million tokens (LongCat Sparse Attention / LSA) |
| Pricing | $0.10/M input · $0.05/M cached input · $1.00/M output | $0.30/M input · $1.20/M output ($0.006/M cached input) — OpenRouter catalogue, read 2026-07-28. Open weights, so this is hosted-inference pricing rather than a licence fee. |
| License | not recorded | MIT (commercially permissive) |
| Availability | Downloadable base and post-trained weights; Liquid Playground and API | Open-sourced 2026-06-30; previously served on OpenRouter under the codename "Owl Alpha" |