Auto-generated comparison

DeepSeek: DeepSeek V3.1 Terminus (exacto) vs Qwen: Qwen3 14B

Qwen: Qwen3 14B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityDeepSeek: DeepSeek V3.1 Terminus (exacto)Qwen: Qwen3 14BWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
164K41K🏆 DeepSeek: DeepSeek V3.1 Terminus (exacto)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.21$0.06🏆 Qwen: Qwen3 14B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.79$0.24🏆 Qwen: Qwen3 14B
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 (exacto) better than Qwen: Qwen3 14B?

Qwen: Qwen3 14B 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 (exacto) and Qwen: Qwen3 14B?

Input: $0.21 vs $0.06 per 1M tokens. Output: $0.79 vs $0.24 per 1M tokens.

What context windows do DeepSeek: DeepSeek V3.1 Terminus (exacto) and Qwen: Qwen3 14B support?

DeepSeek: DeepSeek V3.1 Terminus (exacto) supports up to 164K tokens. Qwen: Qwen3 14B supports up to 41K tokens.

Do both DeepSeek: DeepSeek V3.1 Terminus (exacto) and Qwen: Qwen3 14B support tool calling?

DeepSeek: DeepSeek V3.1 Terminus (exacto): yes. Qwen: Qwen3 14B: yes.

Compare DeepSeek: DeepSeek V3.1 Terminus (exacto) with other models

Compare Qwen: Qwen3 14B with other models