Auto-generated comparison

DeepSeek: R1 Distill Qwen 32B vs Google: Gemma 3n 4B

Google: Gemma 3n 4B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityDeepSeek: R1 Distill Qwen 32BGoogle: Gemma 3n 4BWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
33K33KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.29$0.02🏆 Google: Gemma 3n 4B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.29$0.04🏆 Google: Gemma 3n 4B
Tool / function calling
First-class support for emitting structured tool calls.
Tie
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 DeepSeek: R1 Distill Qwen 32B

Frequently asked questions

Is DeepSeek: R1 Distill Qwen 32B better than Google: Gemma 3n 4B?

Google: Gemma 3n 4B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between DeepSeek: R1 Distill Qwen 32B and Google: Gemma 3n 4B?

Input: $0.29 vs $0.02 per 1M tokens. Output: $0.29 vs $0.04 per 1M tokens.

What context windows do DeepSeek: R1 Distill Qwen 32B and Google: Gemma 3n 4B support?

DeepSeek: R1 Distill Qwen 32B supports up to 33K tokens. Google: Gemma 3n 4B supports up to 33K tokens.

Do both DeepSeek: R1 Distill Qwen 32B and Google: Gemma 3n 4B support tool calling?

DeepSeek: R1 Distill Qwen 32B: not advertised. Google: Gemma 3n 4B: not advertised.

Compare DeepSeek: R1 Distill Qwen 32B with other models

Compare Google: Gemma 3n 4B with other models