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

Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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

Gemini 2.0 Flash Thinking
2025-01-21
5 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash Thinking

Phi-3.5-mini-instruct
Average performance across 1 common benchmarks

Gemini 2.0 Flash Thinking

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

Gemini 2.0 Flash Thinking

Phi-3.5-mini-instruct
Gemini 2.0 Flash Thinking
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

Phi-3.5-mini-instruct
Azure

Gemini 2.0 Flash Thinking

Phi-3.5-mini-instruct