Auto-generated comparison

Google: Gemma 4 31B (batch) vs OpenAI: o1-pro

Google: Gemma 4 31B (batch) wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemma 4 31B (batch)OpenAI: o1-proWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
262K200K🏆 Google: Gemma 4 31B (batch)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.39$150.00🏆 Google: Gemma 4 31B (batch)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.97$600.00🏆 Google: Gemma 4 31B (batch)
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Google: Gemma 4 31B (batch)
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 (batch) better than OpenAI: o1-pro?

Google: Gemma 4 31B (batch) wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Google: Gemma 4 31B (batch) and OpenAI: o1-pro?

Input: $0.39 vs $150.00 per 1M tokens. Output: $0.97 vs $600.00 per 1M tokens.

What context windows do Google: Gemma 4 31B (batch) and OpenAI: o1-pro support?

Google: Gemma 4 31B (batch) supports up to 262K tokens. OpenAI: o1-pro supports up to 200K tokens.

Do both Google: Gemma 4 31B (batch) and OpenAI: o1-pro support tool calling?

Google: Gemma 4 31B (batch): yes. OpenAI: o1-pro: not advertised.

Compare Google: Gemma 4 31B (batch) with other models

Compare OpenAI: o1-pro with other models