Model Comparison

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

OpenAI

GPT-4 Turbo

OpenAI

GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

Alibaba

QvQ-72B-Preview

Alibaba

QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 2024, it represents Alibaba's latest advancement in AI technology.

OpenAI

GPT-4 Turbo

OpenAI

2024-04-09

Alibaba

QvQ-72B-Preview

Alibaba

2024-12-25

8 months newer

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4 Turbo

Larger context
Max Context:132.1K
Alibaba

QvQ-72B-Preview

Max Context:-
Parameters:73.4B

Performance comparison across key benchmark categories

OpenAI

GPT-4 Turbo

math
+26.9%
80.5%
general
+53.1%
73.5%
Alibaba

QvQ-72B-Preview

math
53.6%
general
20.4%
Knowledge Cutoff
Training data recency comparison

GPT-4 Turbo

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4 Turbo

2 providers

Azure

Throughput: 97 tok/s
Latency: 0.6ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Alibaba

QvQ-72B-Preview

0 providers
OpenAI

GPT-4 Turbo

Avg Score:0.0%
Providers:2
Alibaba

QvQ-72B-Preview

Avg Score:0.0%
Providers:0