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

Gemini 1.0 Pro
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

Granite 3.3 8B Instruct
IBM
Granite 3.3 8B Instruct is a multimodal language model developed by IBM. It achieves strong performance with an average score of 69.8% across 14 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). The model shows particular specialization in code tasks with an average performance of 78.3%. 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 IBM's latest advancement in AI technology.

Gemini 1.0 Pro
2024-02-15

Granite 3.3 8B Instruct
IBM
2025-04-16
1 year newer
Performance Metrics
Context window and performance specifications

Gemini 1.0 Pro

Granite 3.3 8B Instruct
Average performance across 1 common benchmarks

Gemini 1.0 Pro

Granite 3.3 8B Instruct
Performance comparison across key benchmark categories

Gemini 1.0 Pro

Granite 3.3 8B Instruct
Gemini 1.0 Pro
2024-02-01
Granite 3.3 8B Instruct
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.0 Pro

Granite 3.3 8B Instruct

Gemini 1.0 Pro

Granite 3.3 8B Instruct