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Gemini 2.0 Flash Thinking vs Qwen3-Next-80B-A3B-Base
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base is a language model developed by Alibaba Cloud / Qwen Team. 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.
7 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
2025-09-10
Average performance across 3 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:74.3%(+74.3%)
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Qwen3-Next-80B-A3B-Base
Average Score:0.0%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.0 Flash Thinking
0 providers
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Qwen3-Next-80B-A3B-Base
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:74.3%(+74.3%)
Providers:0
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Qwen3-Next-80B-A3B-Base
Avg Score:0.0%
Providers:0