Auto-generated comparison

Google: Gemma 4 31B vs OpenAI: GPT-5.4 Nano (batch)

Google: Gemma 4 31B and OpenAI: GPT-5.4 Nano (batch) are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityGoogle: Gemma 4 31BOpenAI: GPT-5.4 Nano (batch)Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
262K400K🏆 OpenAI: GPT-5.4 Nano (batch)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.10$0.10Tie
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.34$0.63🏆 Google: Gemma 4 31B
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: Gemma 4 31B better than OpenAI: GPT-5.4 Nano (batch)?

Google: Gemma 4 31B and OpenAI: GPT-5.4 Nano (batch) are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between Google: Gemma 4 31B and OpenAI: GPT-5.4 Nano (batch)?

Input: $0.10 vs $0.10 per 1M tokens. Output: $0.34 vs $0.63 per 1M tokens.

What context windows do Google: Gemma 4 31B and OpenAI: GPT-5.4 Nano (batch) support?

Google: Gemma 4 31B supports up to 262K tokens. OpenAI: GPT-5.4 Nano (batch) supports up to 400K tokens.

Do both Google: Gemma 4 31B and OpenAI: GPT-5.4 Nano (batch) support tool calling?

Google: Gemma 4 31B: yes. OpenAI: GPT-5.4 Nano (batch): yes.

Compare Google: Gemma 4 31B with other models

Compare OpenAI: GPT-5.4 Nano (batch) with other models