LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
Model details →LiquidAI: LFM2.5-2.6B (free) vs Qwen: Qwen3 14B
LiquidAI: LFM2.5-2.6B (free) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Model details →Side-by-side comparison
| Capability | LiquidAI: LFM2.5-2.6B (free) | Qwen: Qwen3 14B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 131K | 🏆 Qwen: Qwen3 14B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.00 | $0.12 | 🏆 LiquidAI: LFM2.5-2.6B (free) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.00 | $0.24 | 🏆 LiquidAI: LFM2.5-2.6B (free) |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is LiquidAI: LFM2.5-2.6B (free) better than Qwen: Qwen3 14B?
LiquidAI: LFM2.5-2.6B (free) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between LiquidAI: LFM2.5-2.6B (free) and Qwen: Qwen3 14B?
Input: $0.00 vs $0.12 per 1M tokens. Output: $0.00 vs $0.24 per 1M tokens.
What context windows do LiquidAI: LFM2.5-2.6B (free) and Qwen: Qwen3 14B support?
LiquidAI: LFM2.5-2.6B (free) supports up to 128K tokens. Qwen: Qwen3 14B supports up to 131K tokens.
Do both LiquidAI: LFM2.5-2.6B (free) and Qwen: Qwen3 14B support tool calling?
LiquidAI: LFM2.5-2.6B (free): yes. Qwen: Qwen3 14B: yes.