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

Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). 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 Google's latest advancement in AI technology.

QwQ-32B
Alibaba
QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

QwQ-32B
Alibaba
2025-03-05

Gemini 2.5 Pro Preview 06-05
2025-06-05
3 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.5 Pro Preview 06-05

QwQ-32B
Average performance across 2 common benchmarks

Gemini 2.5 Pro Preview 06-05

QwQ-32B
Performance comparison across key benchmark categories

Gemini 2.5 Pro Preview 06-05

QwQ-32B
QwQ-32B
2024-11-28
Gemini 2.5 Pro Preview 06-05
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Pro Preview 06-05

QwQ-32B

Gemini 2.5 Pro Preview 06-05

QwQ-32B