Auto-generated comparison

AionLabs: Aion-2.0 vs google/gemma-3-4b-it

google/gemma-3-4b-it wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityAionLabs: Aion-2.0google/gemma-3-4b-itWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K131KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.80$0.04🏆 google/gemma-3-4b-it
Output price (per 1M)
Cost per million output tokens billed by the provider.
$1.60$0.08🏆 google/gemma-3-4b-it
Tool / function calling
First-class support for emitting structured tool calls.
Tie
Vision input
Accepts image inputs alongside text.
Yes🏆 google/gemma-3-4b-it
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 AionLabs: Aion-2.0

Frequently asked questions

Is AionLabs: Aion-2.0 better than google/gemma-3-4b-it?

google/gemma-3-4b-it wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between AionLabs: Aion-2.0 and google/gemma-3-4b-it?

Input: $0.80 vs $0.04 per 1M tokens. Output: $1.60 vs $0.08 per 1M tokens.

What context windows do AionLabs: Aion-2.0 and google/gemma-3-4b-it support?

AionLabs: Aion-2.0 supports up to 131K tokens. google/gemma-3-4b-it supports up to 131K tokens.

Do both AionLabs: Aion-2.0 and google/gemma-3-4b-it support tool calling?

AionLabs: Aion-2.0: not advertised. google/gemma-3-4b-it: not advertised.

Compare AionLabs: Aion-2.0 with other models

Compare google/gemma-3-4b-it with other models