Auto-generated comparison

DeepSeek: R1 vs Qwen2.5 Coder 32B Instruct

DeepSeek: R1 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityDeepSeek: R1Qwen2.5 Coder 32B InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
64K33K🏆 DeepSeek: R1
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.70$0.66🏆 Qwen2.5 Coder 32B Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$2.50$1.00🏆 Qwen2.5 Coder 32B Instruct
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 DeepSeek: R1
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 DeepSeek: R1

Frequently asked questions

Is DeepSeek: R1 better than Qwen2.5 Coder 32B Instruct?

DeepSeek: R1 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between DeepSeek: R1 and Qwen2.5 Coder 32B Instruct?

Input: $0.70 vs $0.66 per 1M tokens. Output: $2.50 vs $1.00 per 1M tokens.

What context windows do DeepSeek: R1 and Qwen2.5 Coder 32B Instruct support?

DeepSeek: R1 supports up to 64K tokens. Qwen2.5 Coder 32B Instruct supports up to 33K tokens.

Do both DeepSeek: R1 and Qwen2.5 Coder 32B Instruct support tool calling?

DeepSeek: R1: yes. Qwen2.5 Coder 32B Instruct: not advertised.

Compare DeepSeek: R1 with other models

Compare Qwen2.5 Coder 32B Instruct with other models