Model Comparison

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

OpenAI

GPT-4.1

OpenAI

GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Alibaba

Qwen2.5 VL 32B Instruct

Alibaba

Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. 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.

Alibaba

Qwen2.5 VL 32B Instruct

Alibaba

2025-02-28

OpenAI

GPT-4.1

OpenAI

2025-04-14

1 month newer

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4.1

Larger context
Max Context:1.1M
Alibaba

Qwen2.5 VL 32B Instruct

Max Context:-
Parameters:33.5B

Average performance across 3 common benchmarks

OpenAI

GPT-4.1

+12.3%
Average Score:77.1%
Alibaba

Qwen2.5 VL 32B Instruct

Average Score:64.8%

Performance comparison across key benchmark categories

OpenAI

GPT-4.1

code
87.4%
vision
+9.4%
73.4%
math
+7.1%
72.2%
general
53.4%
Alibaba

Qwen2.5 VL 32B Instruct

code
+0.3%
87.8%
vision
64.0%
math
65.1%
general
+6.6%
60.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4.1

1 providers

OpenAI

Throughput: 100 tok/s
Latency: 10ms
Alibaba

Qwen2.5 VL 32B Instruct

0 providers
OpenAI

GPT-4.1

+12.3%
Avg Score:77.1%
Providers:1
Alibaba

Qwen2.5 VL 32B Instruct

Avg Score:64.8%
Providers:0