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.

Qwen2.5-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

Grok-4 Heavy

xAI

2025-07-09

9 months newer

Average performance across 1 common benchmarks

Grok-4 Heavy

+61.2%

Average Score:79.4%

Qwen2.5-Coder 7B Instruct

Average Score:18.2%

Performance comparison across key benchmark categories

Grok-4 Heavy

general

+27.3%

79.5%

code

+22.1%

79.4%

Qwen2.5-Coder 7B Instruct

general

52.3%

code

57.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Grok-4 Heavy

2024-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Grok-4 Heavy

0 providers

Qwen2.5-Coder 7B Instruct

0 providers

Grok-4 Heavy

+61.2%

Avg Score:79.4%

Providers:0

Qwen2.5-Coder 7B Instruct

Avg Score:18.2%

Providers:0