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

Gemini 1.5 Pro
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, 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 1.5 Pro
2024-05-01

Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
1 year newer
Performance Metrics
Context window and performance specifications

Gemini 1.5 Pro

Qwen3-235B-A22B-Instruct-2507
Average performance across 2 common benchmarks

Gemini 1.5 Pro

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

Gemini 1.5 Pro

Qwen3-235B-A22B-Instruct-2507
Gemini 1.5 Pro
2023-11-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Pro

Qwen3-235B-A22B-Instruct-2507

Gemini 1.5 Pro

Qwen3-235B-A22B-Instruct-2507