Model Comparison

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

xAI

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.

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

2025-01-26

xAI

Grok-4

xAI

2025-07-09

5 months newer

Performance Metrics

Context window and performance specifications

xAI

Grok-4

Larger context
Max Context:264.0K
Alibaba

Qwen2.5 VL 72B Instruct

Max Context:-
Parameters:72.0B

Performance comparison across key benchmark categories

xAI

Grok-4

general
69.3%
Alibaba

Qwen2.5 VL 72B Instruct

general
+0.3%
69.6%
Knowledge Cutoff
Training data recency comparison

Grok-4

2024-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

xAI

Grok-4

2 providers

xAI

Throughput: 100 tok/s
Latency: 0.7ms

ZeroEval

Throughput: 100 tok/s
Latency: 0.7ms
Alibaba

Qwen2.5 VL 72B Instruct

0 providers
xAI

Grok-4

Avg Score:0.0%
Providers:2
Alibaba

Qwen2.5 VL 72B Instruct

Avg Score:0.0%
Providers:0