Auto-generated comparison

inclusionAI: Ling 3.0 Flash VL vs Qwen: Qwen3 VL 32B Instruct

inclusionAI: Ling 3.0 Flash VL wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityinclusionAI: Ling 3.0 Flash VLQwen: Qwen3 VL 32B InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K131KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.06$0.10🏆 inclusionAI: Ling 3.0 Flash VL
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.18$0.42🏆 inclusionAI: Ling 3.0 Flash VL
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 inclusionAI: Ling 3.0 Flash VL

Frequently asked questions

Is inclusionAI: Ling 3.0 Flash VL better than Qwen: Qwen3 VL 32B Instruct?

inclusionAI: Ling 3.0 Flash VL wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between inclusionAI: Ling 3.0 Flash VL and Qwen: Qwen3 VL 32B Instruct?

Input: $0.06 vs $0.10 per 1M tokens. Output: $0.18 vs $0.42 per 1M tokens.

What context windows do inclusionAI: Ling 3.0 Flash VL and Qwen: Qwen3 VL 32B Instruct support?

inclusionAI: Ling 3.0 Flash VL supports up to 131K tokens. Qwen: Qwen3 VL 32B Instruct supports up to 131K tokens.

Do both inclusionAI: Ling 3.0 Flash VL and Qwen: Qwen3 VL 32B Instruct support tool calling?

inclusionAI: Ling 3.0 Flash VL: yes. Qwen: Qwen3 VL 32B Instruct: yes.

Compare inclusionAI: Ling 3.0 Flash VL with other models

Compare Qwen: Qwen3 VL 32B Instruct with other models