Auto-generated comparison

OpenAI: GPT-5.6 Luna vs Perceptron: Perceptron Mk1

OpenAI: GPT-5.6 Luna wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityOpenAI: GPT-5.6 LunaPerceptron: Perceptron Mk1Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
1.1M33K🏆 OpenAI: GPT-5.6 Luna
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.10$0.15🏆 OpenAI: GPT-5.6 Luna
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.60$1.50🏆 OpenAI: GPT-5.6 Luna
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 OpenAI: GPT-5.6 Luna
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is OpenAI: GPT-5.6 Luna better than Perceptron: Perceptron Mk1?

OpenAI: GPT-5.6 Luna wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between OpenAI: GPT-5.6 Luna and Perceptron: Perceptron Mk1?

Input: $0.10 vs $0.15 per 1M tokens. Output: $0.60 vs $1.50 per 1M tokens.

What context windows do OpenAI: GPT-5.6 Luna and Perceptron: Perceptron Mk1 support?

OpenAI: GPT-5.6 Luna supports up to 1.1M tokens. Perceptron: Perceptron Mk1 supports up to 33K tokens.

Do both OpenAI: GPT-5.6 Luna and Perceptron: Perceptron Mk1 support tool calling?

OpenAI: GPT-5.6 Luna: yes. Perceptron: Perceptron Mk1: not advertised.

Compare OpenAI: GPT-5.6 Luna with other models

Compare Perceptron: Perceptron Mk1 with other models