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

Grok-4 Heavy
xAI
Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). The model shows particular specialization in general tasks with an average performance of 79.5%. 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.

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

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

Grok-4 Heavy

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

Grok-4 Heavy

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

Grok-4 Heavy

Phi-3.5-mini-instruct
Grok-4 Heavy
2024-12-31
Provider Availability & Performance
Available providers and their performance metrics

Grok-4 Heavy

Phi-3.5-mini-instruct
Azure

Grok-4 Heavy

Phi-3.5-mini-instruct