Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 42.5% higher average benchmark score. Gemma 3 27B offers 130.0K more tokens in context window than GPT-4 Turbo. Gemma 3 27B is $39.70 cheaper per million tokens. Gemma 3 27B supports multimodal inputs. Overall, Gemma 3 27B is the stronger choice for coding tasks.
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
OpenAI
GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
11 months newer
GPT-4 Turbo
OpenAI
2024-04-09
Gemma 3 27B
2025-03-12
Cost per million tokens (USD)
Gemma 3 27B
GPT-4 Turbo
Context window and performance specifications
Average performance across 29 common benchmarks
Gemma 3 27B
GPT-4 Turbo
GPT-4 Turbo
2023-12-31
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
Gemma 3 27B
GPT-4 Turbo
Gemma 3 27B
GPT-4 Turbo
GPT-4 Turbo
Azure
OpenAI