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

Gemma 3 4B
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). 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-3.5-mini-instruct
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. 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-3.5-mini-instruct
Microsoft
2024-08-23

Gemma 3 4B
2025-03-12
6 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemma 3 4B

Phi-3.5-mini-instruct
Performance Metrics
Context window and performance specifications

Gemma 3 4B

Phi-3.5-mini-instruct
Average performance across 7 common benchmarks

Gemma 3 4B

Phi-3.5-mini-instruct
Performance comparison across key benchmark categories

Gemma 3 4B

Phi-3.5-mini-instruct
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 4B
DeepInfra

Phi-3.5-mini-instruct
Azure

Gemma 3 4B

Phi-3.5-mini-instruct