Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 11.9% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, Qwen3-235B-A22B-Instruct-2507 is the stronger choice for coding tasks.
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. 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 supports a 147K 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.
2 months newer
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Context window and performance specifications
Average performance across 48 common benchmarks
Gemma 3n E2B Instructed LiteRT (Preview)
Qwen3-235B-A22B-Instruct-2507
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Available providers and their performance metrics
Gemma 3n E2B Instructed LiteRT (Preview)
Qwen3-235B-A22B-Instruct-2507
Novita
Gemma 3n E2B Instructed LiteRT (Preview)
Qwen3-235B-A22B-Instruct-2507
Gemma 3n E2B Instructed LiteRT (Preview)
Qwen3-235B-A22B-Instruct-2507