Auto-generated comparison

DeepSeek: DeepSeek V3.1 Terminus vs Qwen: QwQ 32B

Qwen: QwQ 32B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityDeepSeek: DeepSeek V3.1 TerminusQwen: QwQ 32BWinner
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.
$0.21$0.15🏆 Qwen: QwQ 32B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.79$0.58🏆 Qwen: QwQ 32B
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 Qwen: QwQ 32B?

Qwen: QwQ 32B 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 Qwen: QwQ 32B?

Input: $0.21 vs $0.15 per 1M tokens. Output: $0.79 vs $0.58 per 1M tokens.

What context windows do DeepSeek: DeepSeek V3.1 Terminus and Qwen: QwQ 32B support?

DeepSeek: DeepSeek V3.1 Terminus supports up to 164K tokens. Qwen: QwQ 32B supports up to 131K tokens.

Do both DeepSeek: DeepSeek V3.1 Terminus and Qwen: QwQ 32B support tool calling?

DeepSeek: DeepSeek V3.1 Terminus: yes. Qwen: QwQ 32B: yes.

Compare DeepSeek: DeepSeek V3.1 Terminus with other models

Compare Qwen: QwQ 32B with other models