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

Granite 3.3 8B Base
IBM
Granite 3.3 8B Base is a multimodal language model developed by IBM. It achieves strong performance with an average score of 64.3% across 20 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). 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.

Grok-4
xAI
Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. 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 xAI's latest advancement in AI technology.

Granite 3.3 8B Base
IBM
2025-04-16

Grok-4
xAI
2025-07-09
2 months newer
Performance Metrics
Context window and performance specifications

Granite 3.3 8B Base

Grok-4
Performance comparison across key benchmark categories

Granite 3.3 8B Base

Grok-4
Granite 3.3 8B Base
2024-04-01
Grok-4
2024-12-31
Provider Availability & Performance
Available providers and their performance metrics

Granite 3.3 8B Base

Grok-4
xAI
ZeroEval

Granite 3.3 8B Base

Grok-4