Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 3.1% higher average benchmark score. Gemma 3 27B offers 131.1K more tokens in context window than Qwen3-Next-80B-A3B-Thinking. Gemma 3 27B is $1.35 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-Next-80B-A3B-Thinking is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.9% across 23 benchmarks. It excels particularly in MMLU-Redux (92.5%), IFEval (88.9%), AIME 2025 (87.8%). It supports a 131K 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.
6 months newer
Gemma 3 27B
2025-03-12
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
Cost per million tokens (USD)
Gemma 3 27B
Qwen3-Next-80B-A3B-Thinking
Context window and performance specifications
Average performance across 46 common benchmarks
Gemma 3 27B
Qwen3-Next-80B-A3B-Thinking
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
Gemma 3 27B
Qwen3-Next-80B-A3B-Thinking
Gemma 3 27B
Qwen3-Next-80B-A3B-Thinking
Qwen3-Next-80B-A3B-Thinking
Novita