Auto-generated comparison

Google: Gemini 3.1 Flash Lite (batch) vs OpenAI: GPT-5.6 Luna (batch)

OpenAI: GPT-5.6 Luna (batch) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemini 3.1 Flash Lite (batch)OpenAI: GPT-5.6 Luna (batch)Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
1.0M1.1M🏆 OpenAI: GPT-5.6 Luna (batch)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.13$0.10🏆 OpenAI: GPT-5.6 Luna (batch)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.75$0.60🏆 OpenAI: GPT-5.6 Luna (batch)
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is Google: Gemini 3.1 Flash Lite (batch) better than OpenAI: GPT-5.6 Luna (batch)?

OpenAI: GPT-5.6 Luna (batch) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Google: Gemini 3.1 Flash Lite (batch) and OpenAI: GPT-5.6 Luna (batch)?

Input: $0.13 vs $0.10 per 1M tokens. Output: $0.75 vs $0.60 per 1M tokens.

What context windows do Google: Gemini 3.1 Flash Lite (batch) and OpenAI: GPT-5.6 Luna (batch) support?

Google: Gemini 3.1 Flash Lite (batch) supports up to 1.0M tokens. OpenAI: GPT-5.6 Luna (batch) supports up to 1.1M tokens.

Do both Google: Gemini 3.1 Flash Lite (batch) and OpenAI: GPT-5.6 Luna (batch) support tool calling?

Google: Gemini 3.1 Flash Lite (batch): yes. OpenAI: GPT-5.6 Luna (batch): yes.

Compare Google: Gemini 3.1 Flash Lite (batch) with other models

Compare OpenAI: GPT-5.6 Luna (batch) with other models