Model Comparison

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

OpenAI

o3-mini

OpenAI

o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, 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.

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

2025-01-26

OpenAI

o3-mini

OpenAI

2025-01-30

4 days newer

Performance Metrics

Context window and performance specifications

OpenAI

o3-mini

Larger context
Max Context:300.0K
Alibaba

Qwen2.5 VL 72B Instruct

Max Context:-
Parameters:72.0B

Performance comparison across key benchmark categories

OpenAI

o3-mini

general
55.2%
math
+9.9%
66.4%
Alibaba

Qwen2.5 VL 72B Instruct

general
+14.4%
69.6%
math
56.5%
Knowledge Cutoff
Training data recency comparison

o3-mini

2023-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

o3-mini

2 providers

Azure

Throughput: 115 tok/s
Latency: 5.2ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Alibaba

Qwen2.5 VL 72B Instruct

0 providers
OpenAI

o3-mini

Avg Score:0.0%
Providers:2
Alibaba

Qwen2.5 VL 72B Instruct

Avg Score:0.0%
Providers:0