Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemma 3 12B
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 63.8% 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.

GPT-4.1 nano
OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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.

Gemma 3 12B
2025-03-12

GPT-4.1 nano
OpenAI
2025-04-14
1 month newer
Pricing Comparison
Cost per million tokens (USD)

Gemma 3 12B

GPT-4.1 nano
Performance Metrics
Context window and performance specifications

Gemma 3 12B

GPT-4.1 nano
Average performance across 2 common benchmarks

Gemma 3 12B

GPT-4.1 nano
Performance comparison across key benchmark categories

Gemma 3 12B

GPT-4.1 nano
GPT-4.1 nano
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 12B
DeepInfra

GPT-4.1 nano
OpenAI

Gemma 3 12B

GPT-4.1 nano