$ diff lfm2-5-24b-a2b gpt-6-1-sol
LFM2.5-24B-A2B vs GPT-6.1 Sol
Values come from LFM2.5-24B-A2B and GPT-6.1 Sol, 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
- 1.1M
- weights
- closed
- $/M in
- $2
- $/M out
- $10
What actually differs
- Context window
- GPT-6.1 Sol takes 1.1M against 131K — 8.0× 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 $10/M — 10.0× 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 14 days after GPT-6.1 Sol (2026-10-13 vs 2026-09-29).
Full spec
| Attribute | LFM2.5-24B-A2B | GPT-6.1 Sol |
|---|---|---|
| Developer | Liquid AI | OpenAI |
| Released | 2026-10-13 | 2026-09-29 |
| Context window | 131,072 tokens | 1.05M tokens |
| Pricing | $0.10/M input · $0.05/M cached input · $1.00/M output | $2/M input · $10/M output · cached input $0.10/M |
| License | not recorded | proprietary (API-only; no weight release) |
| Availability | Downloadable base and post-trained weights; Liquid Playground and API | OpenAI API; Codex; ChatGPT Work — surfaces named in reporting, not enumerated by a first-party page |