Auto-generated comparison

DeepSeek: DeepSeek V3.1 vs Google: Gemma 3n 4B

DeepSeek: DeepSeek V3.1 and Google: Gemma 3n 4B are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityDeepSeek: DeepSeek V3.1Google: 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.
$0.15$0.02🏆 Google: Gemma 3n 4B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.75$0.04🏆 Google: Gemma 3n 4B
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 DeepSeek: DeepSeek V3.1
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 DeepSeek: DeepSeek V3.1

Frequently asked questions

Is DeepSeek: DeepSeek V3.1 better than Google: Gemma 3n 4B?

DeepSeek: DeepSeek V3.1 and Google: Gemma 3n 4B are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between DeepSeek: DeepSeek V3.1 and Google: Gemma 3n 4B?

Input: $0.15 vs $0.02 per 1M tokens. Output: $0.75 vs $0.04 per 1M tokens.

What context windows do DeepSeek: DeepSeek V3.1 and Google: Gemma 3n 4B support?

DeepSeek: DeepSeek V3.1 supports up to 33K tokens. Google: Gemma 3n 4B supports up to 33K tokens.

Do both DeepSeek: DeepSeek V3.1 and Google: Gemma 3n 4B support tool calling?

DeepSeek: DeepSeek V3.1: yes. Google: Gemma 3n 4B: not advertised.

Compare DeepSeek: DeepSeek V3.1 with other models

Compare Google: Gemma 3n 4B with other models