Model Comparison

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

Google

Gemini 2.0 Flash Thinking

Google

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.

IBM

IBM Granite 4.0 Tiny Preview

IBM

IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

IBM

IBM Granite 4.0 Tiny Preview

IBM

2025-05-02

3 months newer

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash Thinking

general
+24.1%
73.8%
IBM

IBM Granite 4.0 Tiny Preview

general
49.7%
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash Thinking

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.0 Flash Thinking

0 providers
IBM

IBM Granite 4.0 Tiny Preview

0 providers
Google

Gemini 2.0 Flash Thinking

Avg Score:0.0%
Providers:0
IBM

IBM Granite 4.0 Tiny Preview

Avg Score:0.0%
Providers:0