Model Comparison

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

OpenAI

o1-mini

OpenAI

o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K 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

Qwen2.5 VL 7B Instruct

Alibaba

Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). 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.

OpenAI

o1-mini

OpenAI

2024-09-12

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

2025-01-26

4 months newer

Performance Metrics

Context window and performance specifications

OpenAI

o1-mini

Larger context
Max Context:193.5K
Alibaba

Qwen2.5 VL 7B Instruct

Max Context:-
Parameters:8.3B

Performance comparison across key benchmark categories

OpenAI

o1-mini

math
+43.4%
90.0%
general
58.0%
Alibaba

Qwen2.5 VL 7B Instruct

math
46.6%
general
+9.8%
67.7%

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

o1-mini

2 providers

Azure

Throughput: 100 tok/s
Latency: 0.5ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Alibaba

Qwen2.5 VL 7B Instruct

0 providers
OpenAI

o1-mini

Avg Score:0.0%
Providers:2
Alibaba

Qwen2.5 VL 7B Instruct

Avg Score:0.0%
Providers:0