LFM2.5-1.2B-Instruct is a compact, high-performance instruction-tuned model built for fast on-device AI. It delivers strong chat quality in a 1.2B parameter footprint, with efficient edge inference and broad runtime support.
Model details →LiquidAI: LFM2.5-1.2B-Instruct (free) vs meta-llama/Llama-3.2-1B-Instruct
LiquidAI: LFM2.5-1.2B-Instruct (free) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate efficiently in low-resourc…
Model details →Side-by-side comparison
| Capability | LiquidAI: LFM2.5-1.2B-Instruct (free) | meta-llama/Llama-3.2-1B-Instruct | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 33K | 60K | 🏆 meta-llama/Llama-3.2-1B-Instruct |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.00 | $0.03 | 🏆 LiquidAI: LFM2.5-1.2B-Instruct (free) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.00 | $0.20 | 🏆 LiquidAI: LFM2.5-1.2B-Instruct (free) |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is LiquidAI: LFM2.5-1.2B-Instruct (free) better than meta-llama/Llama-3.2-1B-Instruct?
LiquidAI: LFM2.5-1.2B-Instruct (free) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between LiquidAI: LFM2.5-1.2B-Instruct (free) and meta-llama/Llama-3.2-1B-Instruct?
Input: $0.00 vs $0.03 per 1M tokens. Output: $0.00 vs $0.20 per 1M tokens.
What context windows do LiquidAI: LFM2.5-1.2B-Instruct (free) and meta-llama/Llama-3.2-1B-Instruct support?
LiquidAI: LFM2.5-1.2B-Instruct (free) supports up to 33K tokens. meta-llama/Llama-3.2-1B-Instruct supports up to 60K tokens.
Do both LiquidAI: LFM2.5-1.2B-Instruct (free) and meta-llama/Llama-3.2-1B-Instruct support tool calling?
LiquidAI: LFM2.5-1.2B-Instruct (free): not advertised. meta-llama/Llama-3.2-1B-Instruct: not advertised.