Auto-generated comparison

Google: Gemma 2 27B vs OpenAI: GPT-3.5 Turbo 16k

Google: Gemma 2 27B and OpenAI: GPT-3.5 Turbo 16k are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityGoogle: Gemma 2 27BOpenAI: GPT-3.5 Turbo 16kWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
8K16K🏆 OpenAI: GPT-3.5 Turbo 16k
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.65$3.00🏆 Google: Gemma 2 27B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.65$4.00🏆 Google: Gemma 2 27B
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 OpenAI: GPT-3.5 Turbo 16k
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 27B better than OpenAI: GPT-3.5 Turbo 16k?

Google: Gemma 2 27B and OpenAI: GPT-3.5 Turbo 16k 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 27B and OpenAI: GPT-3.5 Turbo 16k?

Input: $0.65 vs $3.00 per 1M tokens. Output: $0.65 vs $4.00 per 1M tokens.

What context windows do Google: Gemma 2 27B and OpenAI: GPT-3.5 Turbo 16k support?

Google: Gemma 2 27B supports up to 8K tokens. OpenAI: GPT-3.5 Turbo 16k supports up to 16K tokens.

Do both Google: Gemma 2 27B and OpenAI: GPT-3.5 Turbo 16k support tool calling?

Google: Gemma 2 27B: not advertised. OpenAI: GPT-3.5 Turbo 16k: yes.

Compare Google: Gemma 2 27B with other models

Compare OpenAI: GPT-3.5 Turbo 16k with other models