LFM2-8B-A1B is an efficient on-device Mixture-of-Experts (MoE) model from Liquid AI’s LFM2 family, built for fast, high-quality inference on edge hardware. It uses 8.3B total parameters with only ~1.5B active per token, delivering strong pe…
Model details →LiquidAI: LFM2-8B-A1B vs Mistral: Saba
LiquidAI: LFM2-8B-A1B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional datasets, …
Model details →Side-by-side comparison
| Capability | LiquidAI: LFM2-8B-A1B | Mistral: Saba | 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 | $0.20 | 🏆 LiquidAI: LFM2-8B-A1B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.02 | $0.60 | 🏆 LiquidAI: LFM2-8B-A1B |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Mistral: Saba |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is LiquidAI: LFM2-8B-A1B better than Mistral: Saba?
LiquidAI: LFM2-8B-A1B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between LiquidAI: LFM2-8B-A1B and Mistral: Saba?
Input: $0.01 vs $0.20 per 1M tokens. Output: $0.02 vs $0.60 per 1M tokens.
What context windows do LiquidAI: LFM2-8B-A1B and Mistral: Saba support?
LiquidAI: LFM2-8B-A1B supports up to 33K tokens. Mistral: Saba supports up to 33K tokens.
Do both LiquidAI: LFM2-8B-A1B and Mistral: Saba support tool calling?
LiquidAI: LFM2-8B-A1B: not advertised. Mistral: Saba: yes.