Model Comparison

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

OpenAI

GPT-4o

OpenAI

GPT-4o is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.4% across 8 benchmarks. It excels particularly in MGSM (90.5%), HumanEval (90.2%), MMLU (88.7%). It supports a 132K 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 2024, it represents OpenAI'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.

OpenAI

GPT-4o

OpenAI

2024-05-13

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

2025-01-26

8 months newer

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4o

Larger context
Max Context:132.1K
Alibaba

Qwen2.5 VL 72B Instruct

Max Context:-
Parameters:72.0B

Performance comparison across key benchmark categories

OpenAI

GPT-4o

math
+20.5%
77.0%
general
+5.0%
74.6%
Alibaba

Qwen2.5 VL 72B Instruct

math
56.5%
general
69.6%

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4o

2 providers

Azure

Throughput: 92 tok/s
Latency: 0.54ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Alibaba

Qwen2.5 VL 72B Instruct

0 providers
OpenAI

GPT-4o

Avg Score:0.0%
Providers:2
Alibaba

Qwen2.5 VL 72B Instruct

Avg Score:0.0%
Providers:0