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Gemini 2.0 Flash vs Qwen3-Next-80B-A3B-Base
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.
9 months newer
Gemini 2.0 Flash
2024-12-01
Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
2025-09-10
Performance Metrics
Context window and performance specifications
Average performance across 13 common benchmarks
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Gemini 2.0 Flash
Average Score:66.7%(+66.7%)
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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
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
1 providers
Throughput: 183 tok/s
Latency: 0.4ms
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Qwen3-Next-80B-A3B-Base
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Gemini 2.0 Flash
Avg Score:66.7%(+66.7%)
Providers:1
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Qwen3-Next-80B-A3B-Base
Avg Score:0.0%
Providers:0