Auto-generated comparison

Ling-3.0-flash (free) vs Qwen: Qwen3 VL 30B A3B Thinking

Ling-3.0-flash (free) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityLing-3.0-flash (free)Qwen: Qwen3 VL 30B A3B ThinkingWinner
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.
$0.00$0.20🏆 Ling-3.0-flash (free)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.00$2.40🏆 Ling-3.0-flash (free)
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 Thinking
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is Ling-3.0-flash (free) better than Qwen: Qwen3 VL 30B A3B Thinking?

Ling-3.0-flash (free) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Ling-3.0-flash (free) and Qwen: Qwen3 VL 30B A3B Thinking?

Input: $0.00 vs $0.20 per 1M tokens. Output: $0.00 vs $2.40 per 1M tokens.

What context windows do Ling-3.0-flash (free) and Qwen: Qwen3 VL 30B A3B Thinking support?

Ling-3.0-flash (free) supports up to 262K tokens. Qwen: Qwen3 VL 30B A3B Thinking supports up to 262K tokens.

Do both Ling-3.0-flash (free) and Qwen: Qwen3 VL 30B A3B Thinking support tool calling?

Ling-3.0-flash (free): yes. Qwen: Qwen3 VL 30B A3B Thinking: yes.

Compare Ling-3.0-flash (free) with other models

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