Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 39.8% higher average benchmark score. Gemma 3 12B offers 130.0K more tokens in context window than GPT-4 Turbo. Gemma 3 12B is $39.85 cheaper per million tokens. Gemma 3 12B supports multimodal inputs. Overall, Gemma 3 12B is the stronger choice for coding tasks.
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K 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. 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 12B
2025-03-12
Cost per million tokens (USD)
Gemma 3 12B
GPT-4 Turbo
Context window and performance specifications
Average performance across 29 common benchmarks
Gemma 3 12B
GPT-4 Turbo
GPT-4 Turbo
2023-12-31
Available providers and their performance metrics
Gemma 3 12B
DeepInfra
GPT-4 Turbo
Gemma 3 12B
GPT-4 Turbo
Gemma 3 12B
GPT-4 Turbo
Azure
OpenAI