Auto-generated comparison

meta-llama/Llama-3.2-3B-Instruct vs Qwen: Qwen3 14B

Qwen: Qwen3 14B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

Capabilitymeta-llama/Llama-3.2-3B-InstructQwen: Qwen3 14BWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
80K41K🏆 meta-llama/Llama-3.2-3B-Instruct
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.05$0.06🏆 meta-llama/Llama-3.2-3B-Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.34$0.24🏆 Qwen: Qwen3 14B
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Qwen: Qwen3 14B
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 Qwen: Qwen3 14B

Frequently asked questions

Is meta-llama/Llama-3.2-3B-Instruct better than Qwen: Qwen3 14B?

Qwen: Qwen3 14B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between meta-llama/Llama-3.2-3B-Instruct and Qwen: Qwen3 14B?

Input: $0.05 vs $0.06 per 1M tokens. Output: $0.34 vs $0.24 per 1M tokens.

What context windows do meta-llama/Llama-3.2-3B-Instruct and Qwen: Qwen3 14B support?

meta-llama/Llama-3.2-3B-Instruct supports up to 80K tokens. Qwen: Qwen3 14B supports up to 41K tokens.

Do both meta-llama/Llama-3.2-3B-Instruct and Qwen: Qwen3 14B support tool calling?

meta-llama/Llama-3.2-3B-Instruct: not advertised. Qwen: Qwen3 14B: yes.

Compare meta-llama/Llama-3.2-3B-Instruct with other models

Compare Qwen: Qwen3 14B with other models