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 Reasoning Plus
Microsoft
Phi 4 Reasoning Plus is a language model developed by Microsoft. It achieves strong performance with an average score of 78.9% across 11 benchmarks. It excels particularly in FlenQA (97.9%), HumanEval+ (92.3%), IFEval (84.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Gemma 3 12B
2025-03-12

Phi 4 Reasoning Plus
Microsoft
2025-04-30
1 month newer
Performance Metrics
Context window and performance specifications

Gemma 3 12B

Phi 4 Reasoning Plus
Average performance across 4 common benchmarks

Gemma 3 12B

Phi 4 Reasoning Plus
Performance comparison across key benchmark categories

Gemma 3 12B

Phi 4 Reasoning Plus
Phi 4 Reasoning Plus
2025-03-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 12B
DeepInfra

Phi 4 Reasoning Plus

Gemma 3 12B

Phi 4 Reasoning Plus