Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 17.0% higher average benchmark score. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME 2025 (92.3%), WritingBench (88.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 year newer
Gemma 2 9B
2024-06-27
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Context window and performance specifications
Average performance across 41 common benchmarks
Gemma 2 9B
Qwen3-235B-A22B-Thinking-2507
Available providers and their performance metrics
Gemma 2 9B
Qwen3-235B-A22B-Thinking-2507
Novita
Gemma 2 9B
Qwen3-235B-A22B-Thinking-2507
Gemma 2 9B
Qwen3-235B-A22B-Thinking-2507