Auto-generated comparison

AionLabs: Aion-2.0 vs Relace: Relace Apply 3

AionLabs: Aion-2.0 and Relace: Relace Apply 3 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityAionLabs: Aion-2.0Relace: Relace Apply 3Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K256K🏆 Relace: Relace Apply 3
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.80$0.85🏆 AionLabs: Aion-2.0
Output price (per 1M)
Cost per million output tokens billed by the provider.
$1.60$1.25🏆 Relace: Relace Apply 3
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🏆 AionLabs: Aion-2.0

Frequently asked questions

Is AionLabs: Aion-2.0 better than Relace: Relace Apply 3?

AionLabs: Aion-2.0 and Relace: Relace Apply 3 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between AionLabs: Aion-2.0 and Relace: Relace Apply 3?

Input: $0.80 vs $0.85 per 1M tokens. Output: $1.60 vs $1.25 per 1M tokens.

What context windows do AionLabs: Aion-2.0 and Relace: Relace Apply 3 support?

AionLabs: Aion-2.0 supports up to 131K tokens. Relace: Relace Apply 3 supports up to 256K tokens.

Do both AionLabs: Aion-2.0 and Relace: Relace Apply 3 support tool calling?

AionLabs: Aion-2.0: not advertised. Relace: Relace Apply 3: not advertised.

Compare AionLabs: Aion-2.0 with other models

Compare Relace: Relace Apply 3 with other models