Auto-generated comparison

Google: Gemma 2 27B vs OpenAI: GPT-3.5 Turbo (older v0613)

Google: Gemma 2 27B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemma 2 27BOpenAI: GPT-3.5 Turbo (older v0613)Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
8K4K🏆 Google: Gemma 2 27B
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.65$1.00🏆 Google: Gemma 2 27B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.65$2.00🏆 Google: Gemma 2 27B
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 OpenAI: GPT-3.5 Turbo (older v0613)
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 (older v0613)?

Google: Gemma 2 27B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Google: Gemma 2 27B and OpenAI: GPT-3.5 Turbo (older v0613)?

Input: $0.65 vs $1.00 per 1M tokens. Output: $0.65 vs $2.00 per 1M tokens.

What context windows do Google: Gemma 2 27B and OpenAI: GPT-3.5 Turbo (older v0613) support?

Google: Gemma 2 27B supports up to 8K tokens. OpenAI: GPT-3.5 Turbo (older v0613) supports up to 4K tokens.

Do both Google: Gemma 2 27B and OpenAI: GPT-3.5 Turbo (older v0613) support tool calling?

Google: Gemma 2 27B: not advertised. OpenAI: GPT-3.5 Turbo (older v0613): yes.

Compare Google: Gemma 2 27B with other models

Compare OpenAI: GPT-3.5 Turbo (older v0613) with other models