Auto-generated comparison

inclusionAI: Ling-2.6-1T vs Qwen: Qwen3 VL 30B A3B Instruct

Qwen: Qwen3 VL 30B A3B Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityinclusionAI: Ling-2.6-1TQwen: Qwen3 VL 30B A3B InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
262K262KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.07$0.15🏆 inclusionAI: Ling-2.6-1T
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.63$0.60🏆 Qwen: Qwen3 VL 30B A3B Instruct
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 Qwen: Qwen3 VL 30B A3B Instruct
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is inclusionAI: Ling-2.6-1T better than Qwen: Qwen3 VL 30B A3B Instruct?

Qwen: Qwen3 VL 30B A3B Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between inclusionAI: Ling-2.6-1T and Qwen: Qwen3 VL 30B A3B Instruct?

Input: $0.07 vs $0.15 per 1M tokens. Output: $0.63 vs $0.60 per 1M tokens.

What context windows do inclusionAI: Ling-2.6-1T and Qwen: Qwen3 VL 30B A3B Instruct support?

inclusionAI: Ling-2.6-1T supports up to 262K tokens. Qwen: Qwen3 VL 30B A3B Instruct supports up to 262K tokens.

Do both inclusionAI: Ling-2.6-1T and Qwen: Qwen3 VL 30B A3B Instruct support tool calling?

inclusionAI: Ling-2.6-1T: yes. Qwen: Qwen3 VL 30B A3B Instruct: yes.

Compare inclusionAI: Ling-2.6-1T with other models

Compare Qwen: Qwen3 VL 30B A3B Instruct with other models