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.

Qwen3-235B-A22B-Instruct-2507
Alibaba
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). 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 2.0 Flash Thinking
2025-01-21

Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
6 months newer
Average performance across 1 common benchmarks

Gemini 2.0 Flash Thinking

Qwen3-235B-A22B-Instruct-2507
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

Qwen3-235B-A22B-Instruct-2507
Gemini 2.0 Flash Thinking
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

Qwen3-235B-A22B-Instruct-2507

Gemini 2.0 Flash Thinking

Qwen3-235B-A22B-Instruct-2507