$ diff lfm2-5-24b-a2b grok-4-7
LFM2.5-24B-A2B vs Grok 4.7
Values come from LFM2.5-24B-A2B and Grok 4.7, 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
- 500K
- weights
- —
- $/M in
- $2
- $/M out
- $6
What actually differs
- Context window
- Grok 4.7 takes 500K against 131K — 3.8× more room in a single request.
- Input price
- LFM2.5-24B-A2B at $0.1/M against $2/M — 20.0× 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 $6/M — 6.0× 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 22 days after Grok 4.7 (2026-10-13 vs 2026-09-21).
Full spec
| Attribute | LFM2.5-24B-A2B | Grok 4.7 |
|---|---|---|
| Developer | Liquid AI | xAI |
| Released | 2026-10-13 | 2026-09-21 |
| Context window | 131,072 tokens | 500K |
| Pricing | $0.10/M input · $0.05/M cached input · $1.00/M output | $2/M input · $0.50/M cached input · $6/M output (prompts ≤200K); $4/M · $1/M · $12/M above 200K |
| License | not recorded | not recorded |
| Availability | Downloadable base and post-trained weights; Liquid Playground and API | Grok API, Cursor, Grok Build, OpenRouter, Vercel, Cloudflare |