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
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Phi 4
Microsoft
2024-12-12

Gemma 3 12B
2025-03-12
3 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemma 3 12B

Phi 4
Performance Metrics
Context window and performance specifications

Gemma 3 12B

Phi 4
Average performance across 6 common benchmarks

Gemma 3 12B

Phi 4
Performance comparison across key benchmark categories

Gemma 3 12B

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

Gemma 3 12B
DeepInfra

Phi 4
DeepInfra

Gemma 3 12B

Phi 4