Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Qwen3-235B-A22B-Thinking-2507 offers 124.9K more tokens in context window than Gemma 3 27B. Gemma 3 27B is $3.00 cheaper per million tokens. Gemma 3 27B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K token context window for handling large documents. The model is available through 2 API providers. 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-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.
4 months newer
Gemma 3 27B
2025-03-12
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Cost per million tokens (USD)
Gemma 3 27B
Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 48 common benchmarks
Gemma 3 27B
Qwen3-235B-A22B-Thinking-2507
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
Gemma 3 27B
Qwen3-235B-A22B-Thinking-2507
Gemma 3 27B
Qwen3-235B-A22B-Thinking-2507
Qwen3-235B-A22B-Thinking-2507
Novita