Auto-generated comparison

Google: Gemma 2 9B vs OpenAI: GPT-3.5 Turbo (batch)

Google: Gemma 2 9B and OpenAI: GPT-3.5 Turbo (batch) are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityGoogle: Gemma 2 9BOpenAI: GPT-3.5 Turbo (batch)Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
8K16K🏆 OpenAI: GPT-3.5 Turbo (batch)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.03$0.25🏆 Google: Gemma 2 9B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.09$0.75🏆 Google: Gemma 2 9B
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 OpenAI: GPT-3.5 Turbo (batch)
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Google: Gemma 2 9B better than OpenAI: GPT-3.5 Turbo (batch)?

Google: Gemma 2 9B and OpenAI: GPT-3.5 Turbo (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 2 9B and OpenAI: GPT-3.5 Turbo (batch)?

Input: $0.03 vs $0.25 per 1M tokens. Output: $0.09 vs $0.75 per 1M tokens.

What context windows do Google: Gemma 2 9B and OpenAI: GPT-3.5 Turbo (batch) support?

Google: Gemma 2 9B supports up to 8K tokens. OpenAI: GPT-3.5 Turbo (batch) supports up to 16K tokens.

Do both Google: Gemma 2 9B and OpenAI: GPT-3.5 Turbo (batch) support tool calling?

Google: Gemma 2 9B: not advertised. OpenAI: GPT-3.5 Turbo (batch): yes.

Compare Google: Gemma 2 9B with other models

Compare OpenAI: GPT-3.5 Turbo (batch) with other models