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 3.3 70B Instruct (free)
Meta: Llama 3.3 70B Instruct (free) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases an…
Model details →Side-by-side comparison
| Capability | LiquidAI: LFM2.5-1.2B-Instruct (free) | Meta: Llama 3.3 70B Instruct (free) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 33K | 66K | 🏆 Meta: Llama 3.3 70B Instruct (free) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.00 | $0.00 | Tie |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.00 | $0.00 | Tie |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Meta: Llama 3.3 70B Instruct (free) |
| 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 3.3 70B Instruct (free)?
Meta: Llama 3.3 70B 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 3.3 70B Instruct (free)?
Input: $0.00 vs $0.00 per 1M tokens. Output: $0.00 vs $0.00 per 1M tokens.
What context windows do LiquidAI: LFM2.5-1.2B-Instruct (free) and Meta: Llama 3.3 70B Instruct (free) support?
LiquidAI: LFM2.5-1.2B-Instruct (free) supports up to 33K tokens. Meta: Llama 3.3 70B Instruct (free) supports up to 66K tokens.
Do both LiquidAI: LFM2.5-1.2B-Instruct (free) and Meta: Llama 3.3 70B Instruct (free) support tool calling?
LiquidAI: LFM2.5-1.2B-Instruct (free): not advertised. Meta: Llama 3.3 70B Instruct (free): yes.