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

Gemini 1.0 Pro
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

Qwen2-VL-72B-Instruct
Alibaba
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). The model shows particular specialization in general tasks with an average performance of 82.2%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Gemini 1.0 Pro
2024-02-15

Qwen2-VL-72B-Instruct
Alibaba
2024-08-29
6 months newer
Performance Metrics
Context window and performance specifications

Gemini 1.0 Pro

Qwen2-VL-72B-Instruct
Average performance across 1 common benchmarks

Gemini 1.0 Pro

Qwen2-VL-72B-Instruct
Performance comparison across key benchmark categories

Gemini 1.0 Pro

Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Gemini 1.0 Pro
2024-02-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.0 Pro

Qwen2-VL-72B-Instruct

Gemini 1.0 Pro

Qwen2-VL-72B-Instruct