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.

Qwen2.5 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.

Gemini 1.0 Pro
2024-02-15

Qwen2.5 VL 7B Instruct
Alibaba
2025-01-26
11 months newer
Performance Metrics
Context window and performance specifications

Gemini 1.0 Pro

Qwen2.5 VL 7B Instruct
Average performance across 1 common benchmarks

Gemini 1.0 Pro

Qwen2.5 VL 7B Instruct
Performance comparison across key benchmark categories

Gemini 1.0 Pro

Qwen2.5 VL 7B Instruct
Gemini 1.0 Pro
2024-02-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.0 Pro

Qwen2.5 VL 7B Instruct

Gemini 1.0 Pro

Qwen2.5 VL 7B Instruct