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

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.

Qwen2.5 VL 32B Instruct
Alibaba
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. 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 Alibaba's latest advancement in AI technology.

Qwen2.5 VL 32B Instruct
Alibaba
2025-02-28

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

Grok-4

Qwen2.5 VL 32B Instruct
Average performance across 1 common benchmarks

Grok-4

Qwen2.5 VL 32B Instruct
Performance comparison across key benchmark categories

Grok-4

Qwen2.5 VL 32B Instruct
Grok-4
2024-12-31
Provider Availability & Performance
Available providers and their performance metrics

Grok-4
xAI
ZeroEval

Qwen2.5 VL 32B Instruct

Grok-4

Qwen2.5 VL 32B Instruct