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.

Phi 4 Mini
Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Phi 4 Mini
Microsoft
2025-02-01

Gemma 3 12B
2025-03-12
1 month newer
Performance Metrics
Context window and performance specifications

Gemma 3 12B

Phi 4 Mini
Average performance across 5 common benchmarks

Gemma 3 12B

Phi 4 Mini
Performance comparison across key benchmark categories

Gemma 3 12B

Phi 4 Mini
Phi 4 Mini
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 12B
DeepInfra

Phi 4 Mini

Gemma 3 12B

Phi 4 Mini