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 →Qwen: Qwen3 14B vs xAI: Grok 3 Mini
Qwen: Qwen3 14B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
A lightweight model that thinks before responding. Fast, smart, and great for logic-based tasks that do not require deep domain knowledge. The raw thinking traces are accessible.
Model details →Side-by-side comparison
| Capability | Qwen: Qwen3 14B | xAI: Grok 3 Mini | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 131K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.12 | $0.30 | 🏆 Qwen: Qwen3 14B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.24 | $0.50 | 🏆 Qwen: Qwen3 14B |
| 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 Qwen: Qwen3 14B better than xAI: Grok 3 Mini?
Qwen: Qwen3 14B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Qwen: Qwen3 14B and xAI: Grok 3 Mini?
Input: $0.12 vs $0.30 per 1M tokens. Output: $0.24 vs $0.50 per 1M tokens.
What context windows do Qwen: Qwen3 14B and xAI: Grok 3 Mini support?
Qwen: Qwen3 14B supports up to 131K tokens. xAI: Grok 3 Mini supports up to 131K tokens.
Do both Qwen: Qwen3 14B and xAI: Grok 3 Mini support tool calling?
Qwen: Qwen3 14B: yes. xAI: Grok 3 Mini: yes.