Model Comparison

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

Google

Gemini 1.5 Pro

Google

Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, it represents Google'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.

Google

Gemini 1.5 Pro

Google

2024-05-01

Alibaba

Qwen2.5 VL 32B Instruct

Alibaba

2025-02-28

10 months newer

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Pro

Larger context
Max Context:2.1M
Alibaba

Qwen2.5 VL 32B Instruct

Max Context:-
Parameters:33.5B

Average performance across 6 common benchmarks

Google

Gemini 1.5 Pro

+3.4%
Average Score:76.2%
Alibaba

Qwen2.5 VL 32B Instruct

Average Score:72.8%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Pro

code
74.5%
math
+9.8%
74.9%
vision
+8.2%
72.3%
general
+8.9%
68.9%
Alibaba

Qwen2.5 VL 32B Instruct

code
+13.3%
87.8%
math
65.1%
vision
64.0%
general
60.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Pro

2023-11-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.5 Pro

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
Alibaba

Qwen2.5 VL 32B Instruct

0 providers
Google

Gemini 1.5 Pro

+3.4%
Avg Score:76.2%
Providers:1
Alibaba

Qwen2.5 VL 32B Instruct

Avg Score:72.8%
Providers:0