$ diff lfm2-5-24b-a2b hy4-preview
LFM2.5-24B-A2B vs Hy4 preview
Values come from LFM2.5-24B-A2B and Hy4 preview, 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
- $0.834
- $/M out
- $2.501
What actually differs
- Context window
- Hy4 preview takes 1M against 131K — 7.6× more room in a single request.
- Input price
- LFM2.5-24B-A2B at $0.1/M against $0.834/M — 8.3× 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 $2.501/M — 2.5× 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 46 days after Hy4 preview (2026-10-13 vs 2026-08-28).
Full spec
| Attribute | LFM2.5-24B-A2B | Hy4 preview |
|---|---|---|
| Developer | Liquid AI | Tencent |
| Released | 2026-10-13 | 2026-08-28 |
| Context window | 131,072 tokens | over 1,000,000 |
| Pricing | $0.10/M input · $0.05/M cached input · $1.00/M output | $0.834/M input · $2.501/M output |
| License | not recorded | Apache-2.0 |
| Availability | Downloadable base and post-trained weights; Liquid Playground and API | Hugging Face (BF16 + FP8), ModelScope, GitCode, CNB, Tencent Cloud TokenHub, OpenRouter, WorkBuddy, CodeBuddy, Yuanbao, ima |