LFM2 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency.
Model details →LiquidAI: LFM2-2.6B vs Qwen2.5 72B Instruct
LiquidAI: LFM2-2.6B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
Model details →Side-by-side comparison
| Capability | LiquidAI: LFM2-2.6B | Qwen2.5 72B Instruct | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 33K | 33K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.01 | $0.36 | 🏆 LiquidAI: LFM2-2.6B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.02 | $0.40 | 🏆 LiquidAI: LFM2-2.6B |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Qwen2.5 72B Instruct |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is LiquidAI: LFM2-2.6B better than Qwen2.5 72B Instruct?
LiquidAI: LFM2-2.6B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between LiquidAI: LFM2-2.6B and Qwen2.5 72B Instruct?
Input: $0.01 vs $0.36 per 1M tokens. Output: $0.02 vs $0.40 per 1M tokens.
What context windows do LiquidAI: LFM2-2.6B and Qwen2.5 72B Instruct support?
LiquidAI: LFM2-2.6B supports up to 33K tokens. Qwen2.5 72B Instruct supports up to 33K tokens.
Do both LiquidAI: LFM2-2.6B and Qwen2.5 72B Instruct support tool calling?
LiquidAI: LFM2-2.6B: not advertised. Qwen2.5 72B Instruct: yes.
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