Auto-generated comparison

Ling-3.0-flash (free) vs Mistral: Mistral Small 4

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)Mistral: Mistral Small 4Winner
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$0.15🏆 Ling-3.0-flash (free)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.00$0.60🏆 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🏆 Mistral: Mistral Small 4
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is Ling-3.0-flash (free) better than Mistral: Mistral Small 4?

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 Mistral: Mistral Small 4?

Input: $0.00 vs $0.15 per 1M tokens. Output: $0.00 vs $0.60 per 1M tokens.

What context windows do Ling-3.0-flash (free) and Mistral: Mistral Small 4 support?

Ling-3.0-flash (free) supports up to 262K tokens. Mistral: Mistral Small 4 supports up to 262K tokens.

Do both Ling-3.0-flash (free) and Mistral: Mistral Small 4 support tool calling?

Ling-3.0-flash (free): yes. Mistral: Mistral Small 4: yes.

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

Compare Mistral: Mistral Small 4 with other models