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

Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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-Preview
Alibaba
QwQ-32B-Preview is a language model developed by Alibaba. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

QwQ-32B-Preview
Alibaba
2024-11-28

Gemini 2.0 Flash Thinking
2025-01-21
1 month newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash Thinking

QwQ-32B-Preview
Average performance across 2 common benchmarks

Gemini 2.0 Flash Thinking

QwQ-32B-Preview
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

QwQ-32B-Preview
Gemini 2.0 Flash Thinking
2024-08-01
QwQ-32B-Preview
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

QwQ-32B-Preview
Together
Hyperbolic
DeepInfra
Fireworks

Gemini 2.0 Flash Thinking

QwQ-32B-Preview