Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemma 3 27B offers 130.0K more tokens in context window than GPT-4.5. Gemma 3 27B is $224.70 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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-4.5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.1% across 27 benchmarks. It excels particularly in GSM8k (97.0%), MMLU (90.8%), CharXiv-D (90.0%). It supports a 132K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
13 days newer
GPT-4.5
OpenAI
2025-02-27
Gemma 3 27B
2025-03-12
Cost per million tokens (USD)
Gemma 3 27B
GPT-4.5
Context window and performance specifications
Average performance across 48 common benchmarks
Gemma 3 27B
GPT-4.5
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
Gemma 3 27B
GPT-4.5
Gemma 3 27B
GPT-4.5
GPT-4.5
OpenAI