LFM2.5-1.2B-Thinking is a lightweight reasoning-focused model optimized for agentic tasks, data extraction, and RAG—while still running comfortably on edge devices. It supports long context (up to 32K tokens) and is designed to provide high…
Model details →LiquidAI: LFM2.5-1.2B-Thinking (free) vs Qwen: Qwen3 30B A3B Thinking 2507
LiquidAI: LFM2.5-1.2B-Thinking (free) and Qwen: Qwen3 30B A3B Thinking 2507 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces ar…
Model details →Side-by-side comparison
| Capability | LiquidAI: LFM2.5-1.2B-Thinking (free) | Qwen: Qwen3 30B A3B Thinking 2507 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 33K | 82K | 🏆 Qwen: Qwen3 30B A3B Thinking 2507 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.00 | $0.20 | 🏆 LiquidAI: LFM2.5-1.2B-Thinking (free) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.00 | $2.40 | 🏆 LiquidAI: LFM2.5-1.2B-Thinking (free) |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Qwen: Qwen3 30B A3B Thinking 2507 |
| 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: LFM2.5-1.2B-Thinking (free) better than Qwen: Qwen3 30B A3B Thinking 2507?
LiquidAI: LFM2.5-1.2B-Thinking (free) and Qwen: Qwen3 30B A3B Thinking 2507 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between LiquidAI: LFM2.5-1.2B-Thinking (free) and Qwen: Qwen3 30B A3B Thinking 2507?
Input: $0.00 vs $0.20 per 1M tokens. Output: $0.00 vs $2.40 per 1M tokens.
What context windows do LiquidAI: LFM2.5-1.2B-Thinking (free) and Qwen: Qwen3 30B A3B Thinking 2507 support?
LiquidAI: LFM2.5-1.2B-Thinking (free) supports up to 33K tokens. Qwen: Qwen3 30B A3B Thinking 2507 supports up to 82K tokens.
Do both LiquidAI: LFM2.5-1.2B-Thinking (free) and Qwen: Qwen3 30B A3B Thinking 2507 support tool calling?
LiquidAI: LFM2.5-1.2B-Thinking (free): not advertised. Qwen: Qwen3 30B A3B Thinking 2507: yes.