Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of text generation tasks, including question answering, sum…
Model details →Google: Gemma 2 27B vs OpenAI: GPT-3.5 Turbo
OpenAI: GPT-3.5 Turbo wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
Model details →Side-by-side comparison
| Capability | Google: Gemma 2 27B | OpenAI: GPT-3.5 Turbo | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 8K | 16K | 🏆 OpenAI: GPT-3.5 Turbo |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.65 | $0.50 | 🏆 OpenAI: GPT-3.5 Turbo |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.65 | $1.50 | 🏆 Google: Gemma 2 27B |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 OpenAI: GPT-3.5 Turbo |
| 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?
OpenAI: GPT-3.5 Turbo 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?
Input: $0.65 vs $0.50 per 1M tokens. Output: $0.65 vs $1.50 per 1M tokens.
What context windows do Google: Gemma 2 27B and OpenAI: GPT-3.5 Turbo support?
Google: Gemma 2 27B supports up to 8K tokens. OpenAI: GPT-3.5 Turbo supports up to 16K tokens.
Do both Google: Gemma 2 27B and OpenAI: GPT-3.5 Turbo support tool calling?
Google: Gemma 2 27B: not advertised. OpenAI: GPT-3.5 Turbo: yes.