Auto-generated comparison

DeepSeek: DeepSeek V3 0324 vs Google: Gemma 3 12B

Google: Gemma 3 12B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityDeepSeek: DeepSeek V3 0324Google: Gemma 3 12BWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
164K131K🏆 DeepSeek: DeepSeek V3 0324
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.25$0.05🏆 Google: Gemma 3 12B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$1.00$0.15🏆 Google: Gemma 3 12B
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 Google: Gemma 3 12B
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is DeepSeek: DeepSeek V3 0324 better than Google: Gemma 3 12B?

Google: Gemma 3 12B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between DeepSeek: DeepSeek V3 0324 and Google: Gemma 3 12B?

Input: $0.25 vs $0.05 per 1M tokens. Output: $1.00 vs $0.15 per 1M tokens.

What context windows do DeepSeek: DeepSeek V3 0324 and Google: Gemma 3 12B support?

DeepSeek: DeepSeek V3 0324 supports up to 164K tokens. Google: Gemma 3 12B supports up to 131K tokens.

Do both DeepSeek: DeepSeek V3 0324 and Google: Gemma 3 12B support tool calling?

DeepSeek: DeepSeek V3 0324: yes. Google: Gemma 3 12B: yes.

Compare DeepSeek: DeepSeek V3 0324 with other models

Compare Google: Gemma 3 12B with other models