Auto-generated comparison

DeepSeek: DeepSeek V3.1 Terminus vs Ling-3.0-flash

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

Side-by-side comparison

CapabilityDeepSeek: DeepSeek V3.1 TerminusLing-3.0-flashWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
164K131K🏆 DeepSeek: DeepSeek V3.1 Terminus
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.27$0.07🏆 Ling-3.0-flash
Output price (per 1M)
Cost per million output tokens billed by the provider.
$1.00$0.22🏆 Ling-3.0-flash
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is DeepSeek: DeepSeek V3.1 Terminus better than Ling-3.0-flash?

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

What's the price difference between DeepSeek: DeepSeek V3.1 Terminus and Ling-3.0-flash?

Input: $0.27 vs $0.07 per 1M tokens. Output: $1.00 vs $0.22 per 1M tokens.

What context windows do DeepSeek: DeepSeek V3.1 Terminus and Ling-3.0-flash support?

DeepSeek: DeepSeek V3.1 Terminus supports up to 164K tokens. Ling-3.0-flash supports up to 131K tokens.

Do both DeepSeek: DeepSeek V3.1 Terminus and Ling-3.0-flash support tool calling?

DeepSeek: DeepSeek V3.1 Terminus: yes. Ling-3.0-flash: yes.

Compare DeepSeek: DeepSeek V3.1 Terminus with other models

Compare Ling-3.0-flash with other models