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

Gemini 2.5 Flash
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 2.5 Flash
2025-05-20
9 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Flash

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

Gemini 2.5 Flash

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

Gemini 2.5 Flash

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

Gemini 2.5 Flash

Phi-3.5-mini-instruct
Gemini 2.5 Flash
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash
ZeroEval

Phi-3.5-mini-instruct
Azure

Gemini 2.5 Flash

Phi-3.5-mini-instruct