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Gemma 2 27B vs Qwen3-Next-80B-A3B-Thinking
Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Thinking leads with 11.7% higher average benchmark score. Overall, Qwen3-Next-80B-A3B-Thinking is the stronger choice for coding tasks.
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Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
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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.
1 year newer
Gemma 2 27B
2024-06-27
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
Performance Metrics
Context window and performance specifications
Average performance across 39 common benchmarks
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Gemma 2 27B
Average Score:28.4%
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Qwen3-Next-80B-A3B-Thinking
Average Score:40.0%(+11.7%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 27B
0 providers
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Qwen3-Next-80B-A3B-Thinking
1 providers
Novita
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Gemma 2 27B
Avg Score:28.4%
Providers:0
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Qwen3-Next-80B-A3B-Thinking
Avg Score:40.0%(+11.7%)
Providers:1